Influence of the COVID-19 outbreak in vulnerable patients (pediatric patients, pregnant women, and elderly patients) on an emergency medical service system: a pre- and post-COVID-19 pandemic comparative study using the population-based ORION registry

Influence of the COVID-19 outbreak in vulnerable patients (pediatric patients, pregnant women, and elderly patients) on an emergency medical service system: a pre- and post-COVID-19 pandemic comparative study using the population-based ORION registry | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Influence of the COVID-19 outbreak in vulnerable patients (pediatric patients, pregnant women, and elderly patients) on an emergency medical service system: a pre- and post-COVID-19 pandemic comparative study using the population-based ORION registry Koshi Ota, Masahiko Nitta, Tomonobu Komeya, Tetsuya Matsuoka, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3011915/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread all over the world. Objective To assess the influence of the COVID-19 pandemic on emergency medical services (EMS) for vulnerable patients transported by ambulance. Methods This study was a retrospective, descriptive study with a study period from 1 January 2019 to 31 December 2021 using the Osaka Emergency Information Research Intelligent Operation Network (ORION) system. We included all pediatric patients, pregnant women, and elderly patients ≥65 years of age transported by ambulance in Osaka Prefecture. The main outcome of this study was difficult-to-transport cases. We calculated the rate of difficult-to-transport cases under several conditions. Results For the two year-long periods of 1 January 2019 to 31 December 2019 and 1 January 2021 to 31 December 2021, a total of 887,647 patients were transported to hospital by ambulance in Osaka Prefecture. The total number of vulnerable patients was 579,815 (304,882 in 2019 and 274,933 in 2021). Multivariate logistic regression analysis showed that difficult-to-transport cases were significantly more frequent in 2021 than in 2019. Difficult-to-transport cases were significantly less frequent in the vulnerable population than in the non-vulnerable population (adjusted odds ratio 0.81, 95% confidence interval 0.80–0.83; P < 0.001). Conclusion During the pandemic (2021), difficult-to-transport cases were more frequent compared to pre-pandemic (2019), however, vulnerable patients were not the cause of difficulties in obtaining hospital acceptance for transport. COVID-19 child elderly patient difficult-to-transport case pregnant woman Figures Figure 1 Figure 2 INTRODUCTION Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and was first identified in Wuhan, China in December 2019. Since then, the COVID-19 outbreak has spread all over the world. 1 The World Health Organization (WHO) declared COVID-19 a pandemic on March 11, 2020. A previous study showed the impact of the COVID-19 pandemic on emergency medical services (EMS) systems in Osaka city, Japan. 2 Compared to 2018 or 2019, the proportion of cases experiencing difficulty in obtaining hospital acceptance in Osaka Prefecture among patients transported by ambulance due to acute disease was increased in 2020. 3 , 4 However, few reports about the proportion experiencing difficulty with hospital acceptance were available in 2021 and to the best of our knowledge, no studies on the impact of the COVID-19 pandemic on EMS systems for vulnerable patients including pediatric patients, pregnant patients, and elderly patients have been reported. 5 Difficulty in obtaining hospital acceptance for the transfer of vulnerable patients (difficult-to-transport cases) has been a problem in public health care systems not only in Osaka Prefecture, but throughout Japan. 6 Vulnerable populations, particularly elderly people, have made up increasingly large proportions of the global population and transportation by ambulance has been increasing. 7 , 8 In addition, elderly patients are more likely to develop COVID-19 and experience more critical or mortal conditions than the general population. 9 , 10 Previous studies have revealed that vulnerable patients other than the elderly were not associated with difficult-to-transport cases in 2020 compared with 2018 or 2019. 3 , 4 As the number of COVID-19 patients was small in the first half of 2020, comparisons between before and during the COVID-19 pandemic need to be performed using 2019 and 2021 data. Three waves (the third, fourth, and fifth waves) of the COVID-19 outbreak occurred in 2021, and difficult-to-transport cases became a problem and caused a medical crisis in Osaka Prefecture in 2021. This study aimed to assess the influence of the COVID-19 pandemic on the EMS system by comparing the pre-pandemic year of 2019 and the post-pandemic year of 2021, with a focus on vulnerable patients transported by ambulance in Osaka Prefecture. METHODS Study design and setting This study was a retrospective, descriptive study with a study period from 1 January 2019 to 31 December 2019 and from 1 January 2021 to 31 December 2021 using the Osaka Emergency Information Research Intelligent Operation Network (ORION) system. 11 Osaka Prefecture, the largest metropolitan community in western Japan, has a population of about 8.8 million and a total area of 1905 km 2 . To assess the influence of the COVID-19 pandemic on the EMS system, we focused on vulnerable patients transported by ambulance in Osaka Prefecture. Pediatric patients were divided into four age groups: infants, 0 years; toddlers, 1–4 years; children, 5–9 years; and adolescents, 10–14 years. 4 We defined “women of childbearing age” as female patients aged 15–44 years. 12 We used the presumptive diagnosis and final diagnosis for patients who were admitted, using the International Classification of Diseases, 10th revision (ICD-10). 13 The present study defined patients with pregnancy-related issues (pregnant patients) as ICD-10 codes O00–O99 and P00–P96. We also classified elderly patients according to the Japan Gerontological Society: pre-old, 65–74 years; old, 75–89 years; and super-old, ³90 years. 14 We collected “COVID-19” data as ICD-10 code U07.1, and “COVID-19 suspected” data (if presence of the virus was not confirmed) as U07.2. This study excluded patients who were not transported to a hospital. We also excluded patients who were transported in 2020, because only 92 COVID-19 patients were encountered between January and June 2020 and we wanted to examine an entire year influenced by COVID-19. Ambulance records in Osaka Prefecture are considered administrative records, so the need to obtain informed consent from participants was waived because the data were anonymous. This study was approved by the Ethics Committee of Osaka Prefectural Government (Osaka city, Japan). Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines were used to design and report the results of this study. The ORION system The Osaka prefectural government developed and introduced the ORION system as an information system for emergency patients that uses a smartphone application for hospital selection by on-scene EMS personnel. The ORION system collects all ambulance records. Medical institutions obtain information on the diagnoses and outcomes of patients transported there, and the ORION system has merged these data with ambulance records, including smartphone application data, since January 2015. Data collection and quality control Data were uniformly collected using specific data collection forms and included the reason for the ambulance call, location of the accident, time of day, day of the week, and tools used, in addition to age, sex, and ICD-10 code. The details of the situation, including the name of the fire department, the accident type, the date of ambulance dispatch, a detailed time course before hospital arrival (time of call, ambulance dispatch, arrival at the scene, patient communication, patient’s condition in the ambulance, time of departure from the scene, and time of hospital arrival), and patient information, were recorded in text form. These data were completed by EMS personnel, then transferred to the information center in the Osaka Municipal Fire Department. To ensure the quality of data, data sheets showing incomplete information were re-submitted to the relevant EMS personnel for correction. Availability of data and materials The datasets used in the current study are available from the corresponding author on reasonable request. Outcomes The primary outcome of this study was difficulty in obtaining hospital acceptance for transfer of a patient. Cases where this occurred (difficult-to-transport cases) were defined, according to the guidelines of the Fire and Disaster Management Agency, 15 as those cases in which the interval from arrival at the scene to departure from the scene was longer than 30 min or cases for which ambulance crews needed to make four or more phone calls to hospitals before obtaining hospital acceptance. Disposition at the emergency department (ED), such as emergency admission, discharge to home, transfer to another hospital, or death in the ED, was also collected. Data analysis We calculated the numbers of patients transported by ambulance due to any cause for the year from 1 January to 31 December 2021. For the purposes of comparison, the numbers of patients transported by ambulance for the same reasons for the year from 1 January to 31 December 2019 were also collected. In addition, we used logistic regression analysis to calculate the rate of difficulty with hospital acceptance for patients in the two year-long periods studied, then calculated the crude odds ratio (OR) for each year for difficult-to-transport cases along with the 95% confidence interval (CI), with 2019 as the reference. The OR and 95%CI of difficult-to-transport cases according to month, sex, weekends (as compared with weekdays), nighttime (17:00–09:00) (as compared with daytime) and each category of vulnerability were estimated using multivariate analyses. All data were statistically analyzed using SPSS version 25.0 software (IBM Corp., Armonk, NY, USA) or STATA (version 16.1; Stata Corp., College Station, TX, USA). All tests were two-tailed, with values of P <0.05 considered statistically significant. RESULTS Baseline characteristics For the two year-long periods of 1 January 2019 to 31 December 2019 and 1 January 2021 to 31 December 2021, a total of 948,248 patients were transported to hospitals by ambulance in Osaka Prefecture, Japan. Of these, 887,647 were enrolled in the present study, after excluding 60,601 patients transferred to a different hospital. Each year, 468,699 patients in 2019 and 418,950 patients in 2021 were transported to hospitals by ambulance (Table 1). The total number of pediatric patients (0–14 years old) was 65,107 (7.3%; 37,547 (8.0%) in 2019 and 27,560 (6.6%) in 2021; P <0.001). The total number of women of childbearing age (15–44 years old) was 79,335 (8.9%; 43,105 (9.2%) in 2019 and 36,230 (8.6%) in 2021; P <0.001). In addition, the total number of pregnant women was 1,644 (0.2%; 943 (0.2%) in 2019 and 701 (0.2%) in 2021; P <0.001). The total number of elderly patients ³65 years was 513,124 (57.8%; 266,428 (56.8) in 2019 and 246,550 (59.4%) in 2021). Table 1 shows other baseline characteristics of patients transported to hospital by ambulance in Osaka Prefecture. Figure 1 displays the flow diagram for this study. Figure 2 shows newly diagnosed COVID-19 cases in Osaka Prefecture, which as of the time of writing had experienced five waves of infection during the COVID-19 pandemic (the first and second waves in 2020 were omitted). Table 2 shows difficult-to-transport cases categorized according to vulnerable patients, pediatric patients, women of childbearing age, pregnant women, and elderly patients, comparing 2019 with 2021. All proportions in each category showed an increase in difficult-to-transport cases in 2021 compared with 2019. All numbers of difficult-to-transport cases except in children (5–9 y) were increased in 2021 compared with 2019. Table 3 shows disposition at the ED among vulnerable patients, pediatric patients, women of childbearing age, pregnant women, and elderly patients. All proportions for admission to the hospital following initial arrival at the ED except those for children (5–9 y) and the super-old (≥90 y) were increased in 2021 compared with 2019. Both the number and proportion of deaths in the ED among women of childbearing age and elderly patients were increased in 2021 compared with 2019. Table 4 shows univariate logistic regression analysis of difficult-to-transport cases among pediatric patients, women of childbearing age, pregnant women, elderly patients, and vulnerable patients, with 2019 as the reference. The results showed that difficult-to-transport cases were significantly more frequent in 2021 than in 2019 except for children (5–9 y). Difficult-to-transport cases in 2021 among non-vulnerable patients were also significantly higher than in 2019 (adjusted OR 1.28, 95%CI 1.26–1.30; P <0.001), but the adjusted OR was higher for vulnerable patients than for non-vulnerable patients (adjusted OR 1.46, 95%CI 1.44–1.48; P <0.001). Table 5 shows multivariate logistic regression analysis of difficult-to-transport cases among all patients (pediatric patients, pregnant women, elderly patients, and vulnerable population as variables). Year, month, sex, weekends (compared with weekdays), and nighttime (17:00–09:00) (compared with daytime) were used as covariates. Adjusted ORs for difficult-to-transport cases among children (adjusted OR 0.33, 95%CI 0.31–0.35) and pregnant women (adjusted OR 0.48, 95%CI 0.34–0.69) were negative. The adjusted OR for difficult-to-transport cases of elderly patients was not significant (adjusted OR 1.01, 95%CI 0.99–1.03; P =0.403), but elderly status represented a factor independently associated with increased risk of categorization as a difficult-to-transport case (adjusted OR 1.11, 95%CI 1.08–1.14, P <0.001) in 2021 (Supplemental table 2). Difficult-to-transport cases showed a significantly lower frequency in the vulnerable population than in the non-vulnerable population (adjusted OR 0.81, 95%CI 0.80–0.83; P 15 and <65 years of age) was independently associated with increased risk of categorization as a difficult-to-transport case (adjusted OR 1.22, 95%CI 1.20–1.25; P <0.001), regardless of study period (Supplemental table 1). COVID-19 (including suspected cases) was independently associated with increased risk of categorization as difficult-to-transport cases in all patients, regardless of variables. The highest adjusted OR for difficult-to-transport cases among vulnerable patients was nighttime (17:00–09:00). July and August were not associated with difficult-to-transport cases in 2019, but were significantly associated with difficult-to-transport cases in 2021 (Supplemental table 2). The adjusted OR for mortality in the ED among pediatric patients was negative (adjusted OR 0.08, 95%CI 0.06–0.10; P <0.001) (Supplemental table 3). The adjusted OR for mortality in the ED was positive for elderly patients (adjusted OR 4.04, 95%CI 3.84–4.26; P <0.001). We analyzed adjusted ORs for mortality in the ED among elderly patients separately for 2019 and 2021 (Table 6). The adjusted OR for mortality in the ED among elderly patients was also positive in 2019 (adjusted OR 4.03, 95%CI 3.74–4.35; P <0.001) and 2021 (adjusted OR 4.05, 95%CI 3.77–4.35; P <0.001). DISCUSSION This retrospective descriptive study found that difficulty in obtaining hospital acceptance for transfer of a vulnerable patient (difficult-to-transport cases) was increased in 2021 compared with 2019, at least in Osaka Prefecture. Status as a pediatric patients or pregnant woman were independent factors associated with decreased risk of difficult-to-transport cases, but elderly status of age ³65 years was not independently associated with any decrease or increase in difficult-to-transport cases in the two year-long periods studied (2019 and 2021). However, the elderly population was independently associated with increased risk of difficult-to-transport cases during the COVID-19 pandemic in 2021. The number of patients transported to hospital by ambulance was significantly lower in 2021 in Osaka than in 2019, although the number of patients transported by ambulance in Japan has been increasing for the past 10 years. 16 Similar reductions in ambulance callouts were seen all over the world during the pandemic in 2020. 17 , 18 , 19 , 20 Two reasons may have contributed to this: first, transmission of COVID-19 is thought to occur through aerosolized droplets or direct contact, so some patients might have been reluctant to seek medical attention due to concerns about contracting COVID-19 after visiting a hospital. Second, less-urgent patients did not want to burden the health care system because of informational campaigns emphasizing the pressures on health-care providers. A similar analysis of 2020 found that June showed the lowest number of difficult-to-transport cases that year, and cases between July and November were not significantly associated with difficult-to-transport cases in 2019 (Supplemental table 2). 3 4 The present study showed more difficult-to-transport cases in August and September than in June 2021, which was attributed to the fifth wave of COVID-19 in Japan (Supplemental table 2; Figure 2). The ambulance service performs triage at the scene, selects an appropriate hospital depending on the condition of the patient, and contacts the hospital to request acceptance of the patient. 21 The hospital can choose not to accept the request based on treatment capabilities and bed vacancies. High burdens on emergency care resources would obviously increase the risk of a request being declined. Before the COVID-19 pandemic, the ageing of the population has made elderly patients frequent users of ambulance services, because the EMS system including the ambulance service is fully operated by the public sector under the Japanese system of universal coverage. 21 We considered the elderly population as the main age group for difficult-to-transport cases, but this group did not show increased difficulty obtaining hospital acceptance for transport compared to before the COVID-19 pandemic (Table 5; Supplemental table 2). One possible reason might be that this age group had primary care physicians at hospitals near their homes, representing so-called ‘hospital-centered medical care’, and thus might have been accepted within 30 minutes at the nearest hospitals. 22 On the other hand, patients <65 years of age were considered more likely to be healthier and might not need the services of their primary care physician in their resident area. In addition, hospitals tended not to accept patients transported by ambulance because COVID-19 spread more in young-adult than elderly patients. 23 Such patients thus might have been unable to achieve rapid acceptance by a hospital (Supplemental table 2). Children and pregnant women were found to have a negative association with categorization as difficult-to-transport cases, but univariate logistic analysis showed greater difficulty with hospitals accepting those patients in 2021 compared to 2019, differing from previous studies. 3 , 4 Each COVID-19 wave in Osaka triggered a medical crisis, where non-COVID-19 medical services such as emergency medicine were temporarily halted, so populations of children and pregnant women might have encountered difficulty with transportion. 24 Elderly patients (>65 years of age) were found to have an independent association with increased mortality in the ED. The adjusted OR for death in the ED for elderly patients in 2019 was similar to that in 2021. The COVID-19 pandemic caused a medical crisis in Osaka and old age was an independent factor associated with increased risk of difficult-to-transport cases during the COVID-19 pandemic in 2021, but did not influence the risk of mortality in the ED. One possible reason might be that patients with serious disease using ambulance services were accepted by hospitals at similar rates in both 2019 and 2021, even during medical crises. The EMS system effectively managed serious patients in Osaka during the COVID-19 pandemic. Several limitations to this study need to be kept in mind. First, this study was a retrospective, observational study, and thus unknown confounding factors may have impacted the results. Second, we could not include other vulnerable populations such as those with mental illness or the homeless, because ORION data do not include specific patient data due to privacy concerns. Third, the final diagnosis and prognosis in hospital were unknown, since this study only analyzed ambulance records. In the future, we will use both ambulance records and hospital data to analyze the impact of the COVID-19 pandemic on the EMS system for vulnerable patients. Conclusion During the COVID-19 pandemic in 2021, the frequency of difficult-to-transport cases was increased compared to 2019, but vulnerable patients were not the cause of difficulty obtaining hospital acceptance for transfer. Each wave of COVID-19 infection influenced difficult-to-transport cases. Elderly patients ³65 years of age had an independent association with increased mortality in the ED, but not with the COVID-19 pandemic. Declarations Ethical Approval Ambulance records in Osaka Prefecture are considered administrative records, so the need to obtain informed consent from participants was waived because the data were anonymous. This study was approved by the Ethics Committee of Osaka Prefectural Government (Osaka city, Japan). Competing interests The authors declare that they have no competing interests. Authors' contributions K.O. designed the study and wrote the initial draft of the manuscript. T.K., M.N., T.M., and A.T. contributed to analysis and interpretation of the data and assisted in the preparation of the manuscript. All authors contributed to data collection and interpretation and critically reviewed the manuscript. All authors approved the final version of the manuscript and agree to be accountable for all aspects of the work, including ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors meet the International Committee of Medical Journal Editors (ICMJE) authorship criteria. Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Availability of data and materials The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. ACKNOWLEDGMENTS The authors thank the EMS providers, nurses, emergency physicians and administrators for their cooperation with the ORION system. We thank all the members of The Working Group to Analyze the Emergency Medical Care System in Osaka Prefecture for their kind support. References Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA - J Am Med Assoc . 2020;324(8):782-793. doi:10.1001/jama.2020.12839 Katayama Y, Kiyohara K, Kitamura T, Hayashida S, Shimazu T. Influence of the COVID‐19 pandemic on an emergency medical service system: a population‐based, descriptive study in Osaka, Japan. Acute Med Surg . 2020;7(1). doi:10.1002/ams2.534 Ota K, Nishioka D, Katayama Y, et al. 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Emergency medicine in Japan: past, present, and future. Int J Emerg Med . 2021;14(1):1-9. doi:10.1186/s12245-020-00316-7 Arai H, Ouchi Y, Toba K, et al. Japan as the front-runner of super-aged societies: Perspectives from medicine and medical care in Japan. Geriatr Gerontol Int . 2015;15(6):673-687. doi:10.1111/ggi.12450 Pollard CA, Morran MP, Nestor-Kalinoski AL. The covid-19 pandemic: A global health crisis. Physiol Genomics . 2020;52(11):549-557. doi:10.1152/physiolgenomics.00089.2020 Kurahara Y, Kobayashi T, Shintani S, et al. Clinical characteristics of COVID-19 in Osaka, Japan: Comparison of the first–third waves with the fourth wave. Respir Investig . 2021;59(6):810-818. doi:10.1016/j.resinv.2021.08.005 Tables Table 1. Demographic characteristics of transported patients Year 2019 2021 Total P value Number of patients 468,697 418,950 887,647 <0.001 Age, median (IQR) 70.0 (38) 72.0 (37) <0.001 Sex (male), % 236,661 (50.5) 212,458 (50.7) 449,119 (50.6) 0.04 Pediatric patients, % 37,547 (8.0) 27,560 (6.6) 65,107 (7.3) <0.001 Age category of children <0.001 Infants (0 y), % 3,375 (9.0) 2,612 (9.5) 5,987 (9.2) Toddlers (1–4 y), % 18,891 (50.3) 14,081 (51.1) 32,972 (50.6) Children (5–9 y), % 8,480 (22.6) 5,668 (20.6) 14,148 (21.7) Adolescents (10–14 y), % 6,801 (18.1) 5,199 (18.9) 12,000 (18.4) Adult patients (15–64 y), % 164,722 (35.1) 144,694 (34.5) 309,416 (34.9) <0.001 Women of childbearing age (15–44 y), % 43,105 (9.2) 36,230 (8.6) 79,335 (8.9) <0.001 Pregnant women, % 943 (0.2) 701 (0.2) 1,644 (0.2) <0.001 Elderly patients, % 266,428 (56.8) 246,550 (59.4) 513,124 (57.8) <0.001 Age category of elderly <0.001 Pre-old (65–74 y), % 73,062 (27.4) 63,249 (25.6) 136,311 (26.6) Old (75–89 y), % 160,666 (60.3) 148,448 (60.2) 309,114 (60.2) Super-old (≥90 y), % 32,700 (12.3) 34,999 (14.2) 67,699 (13.2) Pediatric patients, 0–14 years; adult patients, 15–64 years; elderly patients, >65 years. Statistical analyses were performed using the χ 2 test for categorical variables and the Kruskal–Wallis test for continuous variables. Abbreviation: IQR, interquartile range. Table 2. Difficult-to-transport cases among pediatric patients, women of childbearing age, pregnant women, and elderly patients in 2019 and 2021. 2019 Not difficult-to-transport cases Difficult-to-transport cases All Infants (0 y), % 3,349 (99.2) 26 (0.8) 3,375 (9.0) Toddlers (1–4 y), % 18,751 (99.3) 140 (0.7) 18,891 (50.3) Children (5–9 y), % 8,338 (98.3) 142 (1.7) 8,480 (22.6) Adolescents (10–14 y), % 6,676 (98.2) 125 (1.8) 6,801 (18.1) Total 37,114 (98.9) 433 (1.2) 37,547 2021 Not difficult-to-transport cases Difficult-to-transport cases All Infants (0 y), % 2,572 (98.5) 40 (1.5) 2,612 (9.5) Toddlers (1–4 y), % 13,901 (98.7) 180 (1.3) 14,081 (51.1) Children (5–9 y), % 5,548 (97.9) 120 (2.1) 5,668 (20.6) Adolescents (10–14 y), % 5,071 (97.5) 128 (2.5) 5,199 (18.9) Total 27,092 (98.3) 468 (1.7) 27,560 2019 Not difficult-to-transport cases Difficult-to-transport cases All Women of childbearing age (15–44 y), % 41,602 (96.5) 1,503 (3.5) 43,105 (9.2) Pregnant women, % 931 (98.7) 12 (1.3) 943 (0.2) 2021 Not difficult-to-transport cases Difficult-to-transport cases All Women of childbearing age (15–44 y), % 34,123 (94.2) 2,107 (5.8) 36,230 (8.6) Pregnant women, % 681 (97.2) 20 (2.9) 701 (0.2) 2019 Not difficult-to-transport cases Difficult-to-transport cases All Pre-old (65–74 y), % 71,158 (97.4) 1,904 (2.6) 73,062 (27.4) Old (75–89 y), % 156,936 (97.7) 3,730 (2.3) 160,666 (60.3) Super-old (≥90 y), % 31,806 (97.3) 894 (2.7) 32,700 (12.3) Total 259,900 (97.6) 6,528 (2.5) 266,428 2021 Not difficult-to-transport cases Difficult-to-transport cases All Pre-old (65–74 y), % 60,320 (95.4) 2,929 (4.6) 63,249 (25.6) Old (75–89 y), % 140,982 (95.0) 7,466 (5.0) 148,448 (60.2) Super-old (≥90 y), % 32,838 (93.8) 2,161 (6.2) 34,999 (14.2) Total 234,140 (94.9) 12,556 (5.1) 246,696 Table 3. Disposition at the emergency department among pediatric patients, women of childbearing age, pregnant women, and elderly patients Pediatric patients 2019 Infants (0 y), % Toddlers (1–4 y), % Children (5–9 y), % Adolescents (10–14 y), % Total, % Admission, % 650 (19.3) 3,103 (16.4) 1,410 (16.6) 1,023 (15.0) 6,186 (16.5) Home, % 2,682 (79.5) 15,719 (83.2) 7,020 (82.8) 5,722 (84.1) 31,143 (82.9) Transfer, % 21 (0.6) 55 (0.3) 48 (0.6) 48 (0.7) 172 (0.5) Death, % 21 (0.6) 14 (0.1) 2 (0) 8 (0.1) 45 (0.1) No show, % 1 (0) 0 0 0 1 (0) Total 3,375 18,891 8,480 6,801 37,547 2021 Infants (0 y), % Toddlers (1–4 y), % Children (5–9 y), % Adolescents (10–14 y), % Total, % Admission, % 498 (19.3) 2,429 (17.3) 929 (16.4) 908 (17.5) 4,764 (17.3) Home, % 2,074 (79.4) 11,595 (82.4) 4,702 (83.0) 4,245 (81.7) 22,616 (82.1) Transfer, % 27 (1.0) 53 (0.4) 36 (0.6) 41 (0.8) 157 (0.6) Death, % 12 (0.5) 4 (0) 1 (0) 5 (0) 22 (0.1) No show, % 1 (0) 0 0 0 1 (0) Total 2,612 14,081 5,668 5,199 27,560 Women of childbearing age and pregnant women 2019 Pregnant women, % Women of childbearing age (15–44 y), % Admission, % 547 (58.0) 6,938 (16.1) Home, % 391 (41.5) 35,807 (83.1) Transfer, % 5 (0.5) 283 (0.7) Death, % 0 66 (0.2) No show, % 0 11 (0.0) Total 943 43,105 2021 Pregnant women, % Women of childbearing age (15–44 y), % Admission, % 418 (59.6) 6,086 (16.8) Home, % 274 (39.1) 29,777 (82.2) Transfer, % 9 (1.3) 250 (0.7) Death, % 0 111 (0.3) No show, % 0 6 (0.0) Total 943 36,230 Elderly patients 2019 Pre-old (65–74 y), % Old (75–89 y), % Super-old (≥90 y), % Total, % Admission, % 31,161 (42.7) 80,713 (50.2) 20,128 (61.6) 132,002 (49.6) Home, % 39,904 (54.6) 74,514 (46.4) 11,162 (34.1) 125,580 (47.1) Transfer, % 1,163 (1.6) 2,991 (1.9) 593 (1.8) 4,747 (1.8) Death, % 827 (1.1) 2,443 (1.5) 816 (2.5) 4,086 (1.5) No show, % 7 (0) 5 (0) 1 (0) 13 (0) Total 73,062 160,666 32,700 266,428 2021 Pre-old (65–74 y), % Old (75–89 y), % Super-old (≥90 y), % Total, % Admission, % 29,369 (46.4) 77,541 (52.2) 21,529 (61.5) 128,439 (52.1) Home, % 31,761 (50.2) 64,981 (43.8) 11,677 (33.4) 108,419 (44.0) Transfer, % 1,163 (1.8) 2,991 (2.0) 733 (2.1) 4887 (2.0) Death, % 952 (1.5) 2,927 (2.0) 1,057 (3.0) 4,936 (2.0) No show, % 4 (0) 8 (0) 3 (0) 15 (0) Total 63,249 148,448 34,999 246,696 Table 4. Univariate logistic regression analysis of difficult-to-transport cases among pediatric patients, women of childbearing age, pregnant women, elderly patients, and vulnerable patients as a variable. 2021 vs. 2019 (reference) Odds ratio 95%CI P -value Infants (0 y) 1.42 1.10 – 1.81 0.006 Toddlers (1–4 y) 1.32 1.18 – 1.47 <0.001 Children (5–9 y) 1.13 1.00 – 1.27 0.056 Adolescents (10–14 y) 1.16 1.03 – 1.32 0.019 2021 vs. 2019 (reference) Odds ratio 95%CI P -value Women of childbearing age (15–44 y) 1.31 1.26 – 1.35 <0.001 Pregnant women 1.51 1.05 – 2.17 0.025 2021 vs. 2019 (reference) Odds ratio 95%CI P -value Pre-old (65–74 y) 1.35 1.31 – 1.39 <0.001 Old (75–89 y) 1.49 1.46 – 1.52 <0.001 Super-old (≥90 y) 1.53 1.47 – 1.59 <0.001 2021 vs. 2019 Odds ratio 95%CI P -value Non-vulnerable patients 1.28 1.26 – 1.30 <0.001 2021 vs. 2019 Odds ratio 95%CI P -value Vulnerable patients 1.46 1.44 – 1.48 <0.001 Table 5. Multivariate logistic regression analysis of difficult-to-transport cases among all patients (pediatric patients, pregnant women, elderly patients, and vulnerable population as a variable) Pediatric patients as a variable Odds ratio 95%CI P -value Year 2019 Reference 2021 1.39 1.37 – 1.40 <0.001 Female (compared with male) 0.91 0.89 – 0.93 <0.001 Month June Reference January 1.87 1.78 – 1.98 <0.001 February 1.52 1.44 – 1.61 <0.001 March 1.24 1.17 – 1.32 <0.001 April 1.64 1.56 – 1.74 <0.001 May 1.59 1.50 – 1.68 <0.001 July 1.00 0.94 – 1.06 0.963 August 1.28 1.21 – 1.35 <0.001 September 1.27 1.20 – 1.35 <0.001 October 1.01 0.95 – 1.07 0.851 November 1.01 0.95 – 1.07 0.773 December 1.06 1.00 – 1.13 0.04 Weekends (compared with weekdays) 1.19 1.16 – 1.22 <0.001 Nighttime (17:00–09:00) (compared with daytime) 2.55 2.49 – 2.61 15 y) 0.33 0.31 – 0.35 <0.001 COVID-19 (including suspected cases) 1.38 1.29 – 1.46 <0.001 Pregnant women as a variable Odds ratio 95%CI P -value Year 2019 Reference 2021 1.39 1.38 – 1.41 <0.001 Female (compared with male) 0.93 0.91 – 0.95 <0.001 Month June Reference January 1.91 1.81 – 2.01 <0.001 February 1.55 1.47 – 1.65 <0.001 March 1.27 1.20 – 1.34 <0.001 April 1.66 1.57 – 1.75 <0.001 May 1.60 1.51 – 1.69 <0.001 July 1.01 0.95 – 1.07 0.752 August 1.31 1.23 – 1.38 <0.001 September 1.29 1.22 – 1.37 <0.001 October 1.02 0.96 – 1.09 0.448 November 1.03 0.97 – 1.09 0.365 December 1.08 1.02 – 1.15 0.008 Weekends (compared with weekdays) 1.18 1.16 – 1.21 <0.001 Nighttime (17:00–09:00) (compared with daytime) 2.53 2.47 – 2.59 <0.001 Pregnant women 0.48 0.34 – 0.69 <0.001 COVID-19 (including suspected cases) 1.44 1.35 – 1.53 <0.001 Elderly patients as a variable Odds ratio 95%CI P -value Year 2019 Reference 2021 1.39 1.38 – 1.41 <0.001 Female (compared with male) 0.93 0.91 – 0.95 <0.001 Month June Reference January 1.91 1.81 – 2.01 <0.001 February 1.55 1.47 – 1.65 <0.001 March 1.27 1.20 – 1.34 <0.001 April 1.66 1.57 – 1.75 <0.001 May 1.60 1.51 – 1.69 <0.001 July 1.01 0.95 – 1.07 0.755 August 1.31 1.23 – 1.38 <0.001 September 1.29 1.22 – 1.37 <0.001 October 1.02 0.96 – 1.09 0.453 November 1.03 0.97 – 1.09 0.373 December 1.08 1.02 – 1.15 0.008 Weekends (compared with weekdays) 1.18 1.16 – 1.21 <0.001 Nighttime (17:00–09:00) (compared with daytime) 2.53 2.47 – 2.59 <0.001 Old (compared with young <65 y) 1.01 0.99 – 1.03 0.403 COVID-19 (including suspected cases) 1.44 1.35 – 1.53 <0.001 Vulnerable patients as a variable Odds ratio 95%CI P -value Year 2019 Reference 2021 1.40 1.38 – 1.41 <0.001 Female (compared with male) 0.94 0.92 – 0.96 <0.001 Month June Reference January 1.93 1.83 – 2.03 <0.001 February 1.56 1.48 – 1.65 <0.001 March 1.27 1.20 – 1.35 <0.001 April 1.66 1.57 – 1.75 <0.001 May 1.60 1.51 – 1.69 <0.001 July 1.01 0.95 – 1.07 0.867 August 1.29 1.22 – 1.37 <0.001 September 1.29 1.22 – 1.37 <0.001 October 1.02 0.96 – 1.09 0.457 November 1.03 0.97 – 1.10 0.328 December 1.09 1.02 – 1.15 0.006 Weekends (compared with weekdays) 1.18 1.16 – 1.21 <0.001 Nighttime (17:00–09:00) (compared with daytime) 2.47 2.41 – 2.53 <0.001 Vulnerable patients (compared with non-vulnerable) 0.81 0.80 – 0.83 <0.001 COVID-19 (including suspected cases) 1.41 1.32 – 1.50 <0.001 Table 6. Multivariate logistic regression analysis of death in the ED for all patients in 2019 and 2021 (elderly patients as a variable) Odds ratio 95%CI P -value Year 2019 Reference 2021 1.17 1.15 – 1.19 <0.001 Female (compared with male) 0.76 0.73 – 0.79 <0.001 Month June Reference January 1.62 1.47 – 1.78 <0.001 February 1.52 1.38 – 1.68 <0.001 March 1.24 1.12 – 1.37 <0.001 April 1.30 1.18 – 1.44 <0.001 May 1.32 1.20 – 1.46 <0.001 July 0.92 0.82 – 1.02 0.103 August 0.99 0.89 – 1.10 0.845 September 1.05 0.94 – 1.16 0.387 October 1.02 0.92 – 1.14 0.659 November 1.19 1.08 – 1.32 0.001 December 1.37 1.24 – 1.50 <0.001 Weekends (compared with weekdays) 0.98 0.93 – 1.02 0.242 Nighttime (17:00–09:00) (compared with daytime) 1.60 1.54 – 1.66 <0.001 Old (compared with young <65 y) 4.04 3.83 – 4.25 <0.001 COVID-19 (including suspected cases) 0.25 0.19 – 0.32 <0.001 2019 Odds ratio 95% confidence interval P -value Female (compared with male) 0.74 0.70 – 0.78 <0.001 Month June Reference January 1.54 1.35 – 1.76 <0.001 February 1.51 1.31 – 1.73 <0.001 March 1.27 1.10 – 1.47 0.001 April 1.17 1.01 – 1.35 0.039 May 1.06 0.91 – 1.23 0.446 July 0.88 0.76 – 1.03 0.115 August 0.85 0.73 – 0.99 0.041 September 1.02 0.87 – 1.18 0.821 October 0.99 0.85 – 1.16 0.938 November 1.17 1.01 – 1.35 0.038 December 1.32 1.15 – 1.52 <0.001 Weekends (compared with weekdays) 0.94 0.88 – 1.00 0.046 Nighttime (17:00–09:00) (compared with daytime) 1.54 1.46 – 1.64 <0.001 Old (compared with young <65 y) 4.03 3.74 – 4.34 <0.001 COVID-19 (including suspected cases) (omitted) 2021 Odds ratio 95% confidence interval P -value Female (compared with male) 0.78 0.74 – 0.83 <0.001 Month June Reference January 1.68 1.48 – 1.91 <0.001 February 1.54 1.34 – 1.76 <0.001 March 1.21 1.06 – 1.39 0.006 April 1.42 1.24 – 1.63 <0.001 May 1.59 1.38 – 1.82 <0.001 July 0.94 0.82 – 1.09 0.432 August 1.12 0.97 – 1.29 0.11 September 1.07 0.93 – 1.24 0.345 October 1.05 0.91 – 1.21 0.512 November 1.22 1.06 – 1.40 0.005 December 1.41 1.24 – 1.61 <0.001 Weekends (compared with weekdays) 1.00 0.95 – 1.06 0.974 Nighttime (17:00–09:00) (compared with daytime) 1.64 1.56 – 1.73 <0.001 Old (compared with young <65 y) 4.05 3.77 – 4.34 <0.001 COVID-19 (including suspected cases) 0.24 0.19 0.32 <0.001 Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3011915","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":207163651,"identity":"6ac4a880-aeba-40c1-ab24-f7d41af07545","order_by":0,"name":"Koshi Ota","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYBACCQYGNoYEEIu9AS6YQJQWCQaeA6RoAdMS+BUigGR7+7MHDxhs6vhnPj66ubCNQZ6/geHZA3xapHnOmBskMKRJSNxOS7s9s43BcMYBhnQDfFrkJHLYgE46LMFwO8fsNm8bA+MGBqAB+LWkPwNrkb95BqzFnqAWaYkEM7AWgxs8YC2JBLVI9pwBajFIk9x4BuiXGeckkmccJuAXiePtzyR/VNjwyx0/fOx2QZmNbX97T9oDfFogAGoqMziemHnSCOuAAWYIxX6MeC2jYBSMglEwEgAAw0VCBHtsi5oAAAAASUVORK5CYII=","orcid":"","institution":"Osaka Medical and Pharmaceutical University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Koshi","middleName":"","lastName":"Ota","suffix":""},{"id":207163652,"identity":"c166a011-9ca2-4f70-a6f4-031eac2a9d22","order_by":1,"name":"Masahiko Nitta","email":"","orcid":"","institution":"Osaka Medical and Pharmaceutical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Masahiko","middleName":"","lastName":"Nitta","suffix":""},{"id":207163653,"identity":"b684ea8b-99e9-4921-a6fd-46407397ebac","order_by":2,"name":"Tomonobu Komeya","email":"","orcid":"","institution":"Osaka Prefectural Government","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tomonobu","middleName":"","lastName":"Komeya","suffix":""},{"id":207163655,"identity":"2990fbd0-3014-4a40-b7fa-f8dac1f97804","order_by":3,"name":"Tetsuya Matsuoka","email":"","orcid":"","institution":"Osaka Prefectural Government","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tetsuya","middleName":"","lastName":"Matsuoka","suffix":""},{"id":207163657,"identity":"44d4886b-13d4-486d-b2b8-2b35fe79eaca","order_by":4,"name":"Akira Takasu","email":"","orcid":"","institution":"Osaka Medical and Pharmaceutical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Akira","middleName":"","lastName":"Takasu","suffix":""}],"badges":[],"createdAt":"2023-06-01 23:59:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3011915/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3011915/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":38173319,"identity":"0a3d212f-7c5c-44c4-8e3e-aac4d4c05303","added_by":"auto","created_at":"2023-06-07 15:11:50","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":138584,"visible":true,"origin":"","legend":"\u003cp\u003ePatient flow in this study. All pediatric patients \u0026lt;15 years of age were divided into four groups by age. All female patients 15–44 years old were divided into those of childbearing ageand those who were pregnant.All elderly patients ³65 years of age were divided into three groups by age.\u003c/p\u003e","description":"","filename":"Figure1.patientflow.png","url":"https://assets-eu.researchsquare.com/files/rs-3011915/v1/212ba0718e157b5fcc5bc1dc.png"},{"id":38173318,"identity":"3158e7e7-068c-4296-9e13-305958668dc0","added_by":"auto","created_at":"2023-06-07 15:11:50","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":91550,"visible":true,"origin":"","legend":"\u003cp\u003eNewly diagnosed COVID-19 cases in Osaka Prefecture, Japan, in 2021. Three waves (third, fourth, and fifth waves) of the COVID-19 pandemic occurred in 2021.\u003c/p\u003e","description":"","filename":"Figure2covid19wave.png","url":"https://assets-eu.researchsquare.com/files/rs-3011915/v1/47310c3048095a7e0734c93f.png"},{"id":38595507,"identity":"684045ad-feec-4273-95ce-f4794b3ab19f","added_by":"auto","created_at":"2023-06-15 11:29:31","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":617895,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3011915/v1/1e887b39-1aa0-47da-a1a4-44f75888699b.pdf"},{"id":38173320,"identity":"6d2e71b7-32f3-4277-9762-4749424c9a20","added_by":"auto","created_at":"2023-06-07 15:11:50","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":40450,"visible":true,"origin":"","legend":"","description":"","filename":"SubmissionSupplementaltable.docx","url":"https://assets-eu.researchsquare.com/files/rs-3011915/v1/ec94af566edd5f38a48c4718.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Influence of the COVID-19 outbreak in vulnerable patients (pediatric patients, pregnant women, and elderly patients) on an emergency medical service system: a pre- and post-COVID-19 pandemic comparative study using the population-based ORION registry","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eCoronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and was first identified in Wuhan, China in December 2019. Since then, the COVID-19 outbreak has spread all over the world.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e The World Health Organization (WHO) declared COVID-19 a pandemic on March 11, 2020.\u003c/p\u003e \u003cp\u003eA previous study showed the impact of the COVID-19 pandemic on emergency medical services (EMS) systems in Osaka city, Japan.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e Compared to 2018 or 2019, the proportion of cases experiencing difficulty in obtaining hospital acceptance in Osaka Prefecture among patients transported by ambulance due to acute disease was increased in 2020.\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e,\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e However, few reports about the proportion experiencing difficulty with hospital acceptance were available in 2021 and to the best of our knowledge, no studies on the impact of the COVID-19 pandemic on EMS systems for vulnerable patients including pediatric patients, pregnant patients, and elderly patients have been reported.\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e Difficulty in obtaining hospital acceptance for the transfer of vulnerable patients (difficult-to-transport cases) has been a problem in public health care systems not only in Osaka Prefecture, but throughout Japan.\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e Vulnerable populations, particularly elderly people, have made up increasingly large proportions of the global population and transportation by ambulance has been increasing.\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e In addition, elderly patients are more likely to develop COVID-19 and experience more critical or mortal conditions than the general population.\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e Previous studies have revealed that vulnerable patients other than the elderly were not associated with difficult-to-transport cases in 2020 compared with 2018 or 2019.\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e,\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e As the number of COVID-19 patients was small in the first half of 2020, comparisons between before and during the COVID-19 pandemic need to be performed using 2019 and 2021 data. Three waves (the third, fourth, and fifth waves) of the COVID-19 outbreak occurred in 2021, and difficult-to-transport cases became a problem and caused a medical crisis in Osaka Prefecture in 2021.\u003c/p\u003e \u003cp\u003eThis study aimed to assess the influence of the COVID-19 pandemic on the EMS system by comparing the pre-pandemic year of 2019 and the post-pandemic year of 2021, with a focus on vulnerable patients transported by ambulance in Osaka Prefecture.\u003c/p\u003e"},{"header":"METHODS","content":"\u003cp\u003e\u003cstrong\u003eStudy design and setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was a retrospective, descriptive study with a study period from 1 January 2019 to 31 December 2019 and from 1 January 2021 to 31 December 2021 using the Osaka Emergency Information Research Intelligent Operation Network (ORION) system.\u003csup\u003e11\u003c/sup\u003e Osaka Prefecture, the largest metropolitan community in western Japan, has a population of about 8.8 million and a total area of 1905 km\u003csup\u003e2\u003c/sup\u003e. To assess the influence of the COVID-19 pandemic on the EMS system, we focused on vulnerable patients transported by ambulance in Osaka Prefecture. Pediatric patients were divided into four age groups: infants, 0 years; toddlers, 1\u0026ndash;4 years; children, 5\u0026ndash;9 years; and adolescents, 10\u0026ndash;14 years.\u003csup\u003e4\u003c/sup\u003e We defined \u0026ldquo;women of childbearing age\u0026rdquo; as female patients aged 15\u0026ndash;44 years.\u003csup\u003e12\u003c/sup\u003e We used the presumptive diagnosis and final diagnosis for patients who were admitted, using the International Classification of Diseases, 10th revision (ICD-10).\u003csup\u003e13\u003c/sup\u003e The present study defined patients with pregnancy-related issues (pregnant patients) as ICD-10 codes O00\u0026ndash;O99 and P00\u0026ndash;P96. We also classified elderly patients according to the Japan Gerontological Society: pre-old, 65\u0026ndash;74 years; old, 75\u0026ndash;89 years; and super-old, \u0026sup3;90 years.\u003csup\u003e14\u003c/sup\u003e We collected \u0026ldquo;COVID-19\u0026rdquo; data as ICD-10 code U07.1, and \u0026ldquo;COVID-19 suspected\u0026rdquo; data (if presence of the virus was not confirmed) as U07.2.\u003c/p\u003e\n\u003cp\u003eThis study excluded patients who were not transported to a hospital. We also excluded patients who were transported in 2020, because only 92 COVID-19 patients were encountered between January and June 2020 and we wanted to examine an entire year influenced by COVID-19. Ambulance records in Osaka Prefecture are considered administrative records, so the need to obtain informed consent from participants was waived because the data were anonymous. This study was approved by the Ethics Committee of Osaka Prefectural Government (Osaka city, Japan). Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines were used to design and report the results of this study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe ORION system\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Osaka prefectural government developed and introduced the ORION system as an information system for emergency patients that uses a smartphone application for hospital selection by on-scene EMS personnel. The ORION system collects all ambulance records. Medical institutions obtain information on the diagnoses and outcomes of patients transported there, and the ORION system has merged these data with ambulance records, including smartphone application data, since January 2015.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData collection and quality control\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData were uniformly collected using specific data collection forms and included the reason for the ambulance call, location of the accident, time of day, day of the week, and tools used, in addition to age, sex, and ICD-10 code. The details of the situation, including the name of the fire department, the accident type, the date of ambulance dispatch, a detailed time course before hospital arrival (time of call, ambulance dispatch, arrival at the scene, patient communication, patient\u0026rsquo;s condition in the ambulance, time of departure from the scene, and time of hospital arrival),\u0026nbsp;and patient information, were recorded in text form. These data were completed by EMS personnel, then transferred to the information center in the Osaka Municipal Fire Department. To ensure the quality of data, data sheets showing incomplete information were re-submitted to the relevant EMS personnel for correction.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used in the current study are available from the corresponding author on reasonable request.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOutcomes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe primary outcome of this study was difficulty in obtaining hospital acceptance for transfer of a patient. Cases where this occurred (difficult-to-transport cases) were defined, according to the guidelines of the Fire and Disaster Management Agency,\u003csup\u003e15\u003c/sup\u003e as those cases in which the interval from arrival at the scene to departure from the scene was longer than 30 min or cases for which ambulance crews needed to make four or more phone calls to hospitals before obtaining hospital acceptance. Disposition at the emergency department (ED), such as emergency admission, discharge to home, transfer to another hospital, or death in the ED, was also collected.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe calculated the numbers of patients transported by ambulance due to any cause for the year from 1 January to 31 December 2021. For the purposes of comparison, the numbers of patients transported by ambulance for the same reasons for the year from 1 January to 31 December 2019 were also collected. In addition, we used logistic regression analysis to calculate the rate of difficulty with hospital acceptance for patients in the two year-long periods studied, then calculated the crude odds ratio (OR) for each year for difficult-to-transport cases along with the 95% confidence interval (CI), with 2019 as the reference. The OR and 95%CI of difficult-to-transport cases according to month, sex, weekends (as compared with weekdays), nighttime (17:00\u0026ndash;09:00) (as compared with daytime) and each category of vulnerability were estimated using multivariate analyses.\u003c/p\u003e\n\u003cp\u003eAll data were statistically analyzed using SPSS version 25.0 software (IBM Corp., Armonk, NY, USA) or STATA (version 16.1; Stata Corp., College Station, TX, USA). All tests were two-tailed, with values of \u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 considered statistically significant.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003e\u003cstrong\u003eBaseline characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor the two year-long periods of 1 January 2019 to 31 December 2019 and 1 January 2021 to 31 December 2021, a total of 948,248 patients were transported to hospitals by ambulance in Osaka Prefecture, Japan. Of these, 887,647 were enrolled in the present study, after excluding 60,601 patients transferred to a different hospital. Each year, 468,699 patients in 2019 and 418,950 patients in 2021 were transported to hospitals by ambulance (Table 1). The total number of pediatric patients (0\u0026ndash;14 years old) was 65,107 (7.3%; 37,547 (8.0%) in 2019 and 27,560 (6.6%) in 2021; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001). The total number of women of childbearing age (15\u0026ndash;44 years old) was 79,335 (8.9%; 43,105 (9.2%) in 2019 and 36,230 (8.6%) in 2021; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001). In addition, the total number of pregnant women was 1,644 (0.2%; 943 (0.2%) in 2019 and 701 (0.2%) in 2021; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001). The total number of elderly patients\u0026nbsp;\u0026sup3;65 years was 513,124 (57.8%; 266,428 (56.8) in 2019 and 246,550 (59.4%) in 2021). Table 1 shows other baseline characteristics of patients transported to hospital by ambulance in Osaka Prefecture.\u003c/p\u003e\n\u003cp\u003eFigure 1 displays the flow diagram for this study. Figure 2 shows newly diagnosed COVID-19 cases in Osaka Prefecture, which as of the time of writing had experienced five waves of infection during the COVID-19 pandemic (the first and second waves in 2020 were omitted).\u003c/p\u003e\n\u003cp\u003eTable 2 shows difficult-to-transport cases categorized according to vulnerable patients, pediatric patients, women of childbearing age, pregnant women, and elderly patients, comparing 2019 with 2021. All proportions in each category showed an increase in difficult-to-transport cases in 2021 compared with 2019. All numbers of difficult-to-transport cases except in children (5\u0026ndash;9 y) were increased in 2021 compared with 2019.\u003c/p\u003e\n\u003cp\u003eTable 3 shows disposition at the ED among vulnerable patients, pediatric patients, women of childbearing age, pregnant women, and elderly patients. All proportions for admission to the hospital following initial arrival at the ED except those for children (5\u0026ndash;9 y) and the super-old (\u0026ge;90 y) were increased in 2021 compared with 2019. Both the number and proportion of deaths in the ED among women of childbearing age and elderly patients were increased in 2021 compared with 2019.\u003c/p\u003e\n\u003cp\u003eTable 4 shows univariate logistic regression analysis of difficult-to-transport cases among pediatric patients, women of childbearing age, pregnant women, elderly patients, and vulnerable patients, with 2019 as the reference. The results showed that difficult-to-transport cases were significantly more frequent in 2021 than in 2019 except for children (5\u0026ndash;9 y). Difficult-to-transport cases in 2021 among non-vulnerable patients were also significantly higher than in 2019 (adjusted OR 1.28, 95%CI 1.26\u0026ndash;1.30; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001), but the adjusted OR was higher for vulnerable patients than for non-vulnerable patients (adjusted OR 1.46, 95%CI 1.44\u0026ndash;1.48; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001).\u003c/p\u003e\n\u003cp\u003eTable 5 shows multivariate logistic regression analysis of difficult-to-transport cases among all patients (pediatric patients, pregnant women, elderly patients, and vulnerable population as variables). Year, month, sex, weekends (compared with weekdays), and nighttime (17:00\u0026ndash;09:00) (compared with daytime) were used as covariates. Adjusted ORs for difficult-to-transport cases among children (adjusted OR 0.33, 95%CI 0.31\u0026ndash;0.35) and pregnant women (adjusted OR 0.48, 95%CI 0.34\u0026ndash;0.69) were negative. The adjusted OR for difficult-to-transport cases of elderly patients was not significant (adjusted OR 1.01, 95%CI 0.99\u0026ndash;1.03; \u003cem\u003eP\u003c/em\u003e=0.403), but elderly status represented a factor independently associated with increased risk of categorization as a difficult-to-transport case (adjusted OR 1.11, 95%CI 1.08\u0026ndash;1.14, \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001) in 2021 (Supplemental table 2). Difficult-to-transport cases showed a significantly lower frequency in the vulnerable population than in the non-vulnerable population (adjusted OR 0.81, 95%CI 0.80\u0026ndash;0.83; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001). Being an adult patient (\u0026gt;15 and \u0026lt;65 years of age) was independently associated with increased risk of categorization as a difficult-to-transport case (adjusted OR 1.22, 95%CI 1.20\u0026ndash;1.25; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001), regardless of study period (Supplemental table 1).\u0026nbsp;COVID-19 (including suspected cases) was\u0026nbsp;independently associated with increased risk of categorization as difficult-to-transport cases in all patients, regardless of variables. The highest adjusted OR for difficult-to-transport cases among vulnerable patients was nighttime (17:00\u0026ndash;09:00). July and August were not associated with difficult-to-transport cases in 2019, but were significantly associated with difficult-to-transport cases in 2021 (Supplemental table 2).\u003c/p\u003e\n\u003cp\u003eThe adjusted OR for mortality in the ED among pediatric patients was negative (adjusted OR 0.08, 95%CI 0.06\u0026ndash;0.10; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001) (Supplemental table 3). The adjusted OR for mortality in the ED was positive for elderly patients (adjusted OR 4.04, 95%CI 3.84\u0026ndash;4.26; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001). We analyzed adjusted ORs for mortality in the ED among elderly patients separately for 2019 and 2021 (Table 6). The adjusted OR for mortality in the ED among elderly patients was also positive in 2019 (adjusted OR 4.03, 95%CI 3.74\u0026ndash;4.35; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001) and 2021 (adjusted OR 4.05, 95%CI 3.77\u0026ndash;4.35; \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001).\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThis retrospective descriptive study found that difficulty in obtaining hospital acceptance for transfer of a vulnerable patient (difficult-to-transport cases) was increased in 2021 compared with 2019, at least in Osaka Prefecture. Status as a pediatric patients or pregnant woman were independent factors associated with decreased risk of difficult-to-transport cases, but elderly status of age\u0026nbsp;\u0026sup3;65 years was not independently associated with any decrease or increase in difficult-to-transport cases in the two year-long periods studied (2019 and 2021). However, the elderly population was independently associated with increased risk of difficult-to-transport cases during the COVID-19 pandemic in 2021.\u003c/p\u003e\n\u003cp\u003eThe number of patients transported to hospital by ambulance was significantly lower in 2021 in Osaka than in 2019, although the number of patients transported by ambulance in Japan has been increasing for the past 10 years.\u003csup\u003e16\u003c/sup\u003e Similar reductions in ambulance callouts were seen all over the world during the pandemic in 2020.\u003csup\u003e17\u003c/sup\u003e\u003csup\u003e,\u003c/sup\u003e\u003csup\u003e18\u003c/sup\u003e\u003csup\u003e,\u003c/sup\u003e\u003csup\u003e19\u003c/sup\u003e\u003csup\u003e,\u003c/sup\u003e\u003csup\u003e20\u003c/sup\u003e Two reasons may have contributed to this: first, transmission of COVID-19 is thought to occur through aerosolized droplets or direct contact, so some patients might have been reluctant to seek medical attention due to concerns about contracting COVID-19 after visiting a hospital. Second, less-urgent patients did not want to burden the health care system because of informational campaigns emphasizing the pressures on health-care providers.\u003c/p\u003e\n\u003cp\u003eA similar analysis of 2020 found that June showed the lowest number of difficult-to-transport cases that year, and cases between July and November were not significantly associated with difficult-to-transport cases in 2019 (Supplemental table 2).\u003csup\u003e3\u003c/sup\u003e\u003csup\u003e4\u003c/sup\u003e The present study showed more difficult-to-transport cases in August and September than in June 2021, which was attributed to the fifth wave of COVID-19 in Japan (Supplemental table 2; Figure 2).\u003c/p\u003e\n\u003cp\u003eThe ambulance service performs triage at the scene, selects an appropriate hospital depending on the condition of the patient, and contacts the hospital to request acceptance of the patient.\u003csup\u003e21\u003c/sup\u003e The hospital can choose not to accept the request based on treatment capabilities and bed vacancies. High burdens on emergency care resources would obviously increase the risk of a request being declined. Before the COVID-19 pandemic, the ageing of the population has made elderly patients frequent users of ambulance services, because the EMS system including the ambulance service is fully operated by the public sector under the Japanese system of universal coverage.\u003csup\u003e21\u003c/sup\u003e We considered the elderly population as the main age group for difficult-to-transport cases, but this group did not show increased difficulty obtaining hospital acceptance for transport\u0026nbsp;compared to\u0026nbsp;before the COVID-19 pandemic (Table 5; Supplemental table 2).\u003c/p\u003e\n\u003cp\u003eOne possible reason might be that this age group had primary care physicians at hospitals near their homes, representing so-called \u0026lsquo;hospital-centered medical care\u0026rsquo;, and thus might have been accepted within 30 minutes at the nearest hospitals.\u003csup\u003e22\u003c/sup\u003e\u003c/p\u003e\n\u003cp\u003eOn the other hand, patients \u0026lt;65 years of age were considered more likely to be healthier and might not need the services of their primary care physician in their resident area. In addition, hospitals tended not to accept patients transported by ambulance because COVID-19 spread more in young-adult than elderly patients.\u003csup\u003e23\u003c/sup\u003e Such patients thus might have been unable to achieve rapid acceptance by a hospital (Supplemental table 2).\u003c/p\u003e\n\u003cp\u003eChildren and pregnant women were found to have a negative association with categorization as difficult-to-transport cases, but univariate logistic analysis showed greater difficulty with hospitals accepting those patients in 2021 compared to 2019, differing from previous studies.\u003csup\u003e3\u003c/sup\u003e\u003csup\u003e,\u003c/sup\u003e\u003csup\u003e4\u003c/sup\u003e Each COVID-19 wave in Osaka triggered a medical crisis, where non-COVID-19 medical services such as emergency medicine were temporarily halted, so populations of children and pregnant women might have encountered difficulty with transportion.\u003csup\u003e24\u003c/sup\u003e\u003c/p\u003e\n\u003cp\u003eElderly patients (\u0026gt;65 years of age) were found to have an independent association with increased mortality in the ED. The adjusted OR for death in the ED for elderly patients in 2019 was similar to that in 2021. The COVID-19 pandemic caused a medical crisis in Osaka and old age was an independent factor associated with increased risk of difficult-to-transport cases during the COVID-19 pandemic in 2021, but did not influence the risk of mortality in the ED. One possible reason might be that patients with serious disease using ambulance services were accepted by hospitals at similar rates in both 2019 and 2021, even during medical crises. The EMS system effectively managed serious patients in Osaka during the COVID-19 pandemic.\u003c/p\u003e\n\u003cp\u003eSeveral limitations to this study need to be kept in mind. First, this study was a retrospective, observational study, and thus unknown confounding factors may have impacted the results. Second, we could not include other vulnerable populations such as those with mental illness or the homeless, because ORION data do not include specific patient data due to privacy concerns. Third, the final diagnosis and prognosis in hospital were unknown, since this study only analyzed ambulance records.\u003c/p\u003e\n\u003cp\u003eIn the future, we will use both ambulance records and hospital data to analyze the impact of the COVID-19 pandemic on the EMS system for vulnerable patients.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eDuring the COVID-19 pandemic in 2021, the frequency of difficult-to-transport cases was increased compared to 2019, but vulnerable patients were not the cause of difficulty obtaining hospital acceptance for transfer. Each wave of COVID-19 infection influenced difficult-to-transport cases. Elderly patients \u0026sup3;65 years of age had an independent association with increased mortality in the ED, but not with the COVID-19 pandemic.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthical Approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAmbulance records in Osaka Prefecture are considered administrative records, so the need to obtain informed consent from participants was waived because the data were anonymous. This study was approved by the Ethics Committee of Osaka Prefectural Government (Osaka city, Japan).\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026apos; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eK.O. designed the study and wrote the initial draft of the manuscript. T.K., M.N., T.M., and A.T. contributed to analysis and interpretation of the data and assisted in the preparation of the manuscript. All authors contributed to data collection and interpretation and critically reviewed the manuscript. All authors approved the final version of the manuscript and agree to be accountable for all aspects of the work, including ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors meet the International Committee of Medical Journal Editors (ICMJE) authorship criteria.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eACKNOWLEDGMENTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors thank the EMS providers, nurses, emergency physicians and administrators for their cooperation with the ORION system. We thank all the members of The Working Group to Analyze the Emergency Medical Care System in Osaka Prefecture for their kind support.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eWiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. \u003cem\u003eJAMA - J Am Med Assoc\u003c/em\u003e. 2020;324(8):782-793. doi:10.1001/jama.2020.12839\u003c/li\u003e\n\u003cli\u003eKatayama Y, Kiyohara K, Kitamura T, Hayashida S, Shimazu T. Influence of the COVID‐19 pandemic on an emergency medical service system: a population‐based, descriptive study in Osaka, Japan. \u003cem\u003eAcute Med Surg\u003c/em\u003e. 2020;7(1). doi:10.1002/ams2.534\u003c/li\u003e\n\u003cli\u003eOta K, Nishioka D, Katayama Y, et al. 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International Statistical Classification of Diseases and Related Health Problems, 10th Revision ICD-10 : Tabular List. \u003cem\u003eWorld Heal Organ\u003c/em\u003e. 2016;1:332-345. http://www.who.int/classifications/icd/icdonlineversions/en/.\u003c/li\u003e\n\u003cli\u003e\u003cem\u003eDifinition\u003c/em\u003e.; 2017. https://www.jpn-geriat-soc.or.jp/proposal/pdf/definition_01.pdf.\u003c/li\u003e\n\u003cli\u003eThe Fire and Disaster Management Agency . \u003cem\u003eA Report on the Acceptance of Emergency Patients by Medical Institutions.\u003c/em\u003e Vol 6. https://www.fdma.go.jp/disaster/coronavirus/items/coronavirus_kekka.pdf.\u003c/li\u003e\n\u003cli\u003eThe Fire and Disaster Management Agency . \u003cem\u003eWhite Book on Emergency System in Japan. 2018.\u003c/em\u003e; 2020. https://www.fdma.go.jp/publication/rescue/items/kkkg_r02_01_kyukyu.pdf.\u003c/li\u003e\n\u003cli\u003eHolmes JL, Brake S, Docherty M, Lilford R, Watson S. Emergency ambulance services for heart attack and stroke during UK\u0026rsquo;s COVID-19 lockdown. \u003cem\u003eLancet (London, England)\u003c/em\u003e. 2020;395(10237):e93-e94. doi:10.1016/S0140-6736(20)31031-X\u003c/li\u003e\n\u003cli\u003eSutherland K, Chessman J, Zhao J, et al. Impact of COVID-19 on healthcare activity in NSW, Australia. \u003cem\u003ePublic Heal Res Pract\u003c/em\u003e. 2020;30(4):1-9. doi:10.17061/PHRP3042030\u003c/li\u003e\n\u003cli\u003eGrunau B, Helmer J, Lee S, et al. Decrease in emergency medical services utilization during early stages of the COVID-19 pandemic in British Columbia. \u003cem\u003eCan J Emerg Med\u003c/em\u003e. 2021;23(2):237-241. doi:10.1007/s43678-020-00062-y\u003c/li\u003e\n\u003cli\u003eOta K, Nishioka D, Katayama Y, et al. Epidemiology of patients with dizziness over a 3-year period, requiring utilization of the emergency medical serviced system \u0026ndash; A Pre- and Post-COVID pandemic comparative study using the population-based ORION registry. \u003cem\u003eJ Vestib Res\u003c/em\u003e. 2023:1-10. doi:10.3233/ves-220024\u003c/li\u003e\n\u003cli\u003eShimizu K, Hibino S, Biros MH, Irisawa T, Shimazu T. Emergency medicine in Japan: past, present, and future. \u003cem\u003eInt J Emerg Med\u003c/em\u003e. 2021;14(1):1-9. doi:10.1186/s12245-020-00316-7\u003c/li\u003e\n\u003cli\u003eArai H, Ouchi Y, Toba K, et al. Japan as the front-runner of super-aged societies: Perspectives from medicine and medical care in Japan. \u003cem\u003eGeriatr Gerontol Int\u003c/em\u003e. 2015;15(6):673-687. doi:10.1111/ggi.12450\u003c/li\u003e\n\u003cli\u003ePollard CA, Morran MP, Nestor-Kalinoski AL. The covid-19 pandemic: A global health crisis. \u003cem\u003ePhysiol Genomics\u003c/em\u003e. 2020;52(11):549-557. doi:10.1152/physiolgenomics.00089.2020\u003c/li\u003e\n\u003cli\u003eKurahara Y, Kobayashi T, Shintani S, et al. Clinical characteristics of COVID-19 in Osaka, Japan: Comparison of the first\u0026ndash;third waves with the fourth wave. \u003cem\u003eRespir Investig\u003c/em\u003e. 2021;59(6):810-818. doi:10.1016/j.resinv.2021.08.005 \u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Demographic characteristics of transported patients\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"708\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eYear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003eP value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eNumber of patients\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e468,697\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e418,950\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e887,647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eAge, median (IQR)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e70.0 (38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e72.0 (37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eSex (male), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e236,661 (50.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e212,458 (50.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e449,119 (50.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003ePediatric patients, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e37,547 (8.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e27,560 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e65,107 (7.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Age category of children\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Infants (0 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e3,375 (9.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e2,612 (9.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e5,987 (9.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Toddlers (1\u0026ndash;4 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e18,891 (50.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e14,081 (51.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e32,972 (50.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Children (5\u0026ndash;9 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e8,480 (22.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e5,668 (20.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e14,148 (21.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Adolescents (10\u0026ndash;14 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e6,801 (18.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e5,199 (18.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e12,000 (18.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eAdult patients (15\u0026ndash;64 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e164,722 (35.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e144,694 (34.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e309,416 (34.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eWomen of childbearing age (15\u0026ndash;44 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e43,105 (9.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e36,230 (8.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e79,335 (8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003ePregnant women, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e943 (0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e701 (0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e1,644 (0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003eElderly patients, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e266,428 (56.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e246,550 (59.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e513,124 (57.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Age category of elderly\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Pre-old (65\u0026ndash;74 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e73,062 (27.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e63,249 (25.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e136,311 (26.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Old (75\u0026ndash;89 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e160,666 (60.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e148,448 (60.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e309,114 (60.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.14668547249647%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Super-old (\u0026ge;90 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e32,700 (12.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e34,999 (14.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655853314527503%\"\u003e\n \u003cp\u003e67,699 (13.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.885754583921015%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;Pediatric patients, 0\u0026ndash;14 years; adult patients, 15\u0026ndash;64 years; elderly patients, \u0026gt;65 years.\u003c/p\u003e\n\u003cp\u003eStatistical analyses were performed using the \u0026chi;\u003csup\u003e2\u003c/sup\u003e test for categorical variables and the Kruskal\u0026ndash;Wallis test for continuous variables.\u003c/p\u003e\n\u003cp\u003eAbbreviation: IQR, interquartile range.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Difficult-to-transport cases among pediatric patients, women of childbearing age, pregnant women, and elderly patients in 2019 and 2021.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"671\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eNot difficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eDifficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eAll\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eInfants (0 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e3,349 (99.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e26 (0.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e3,375 (9.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eToddlers (1\u0026ndash;4 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e18,751 (99.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e140 (0.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e18,891 (50.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eChildren (5\u0026ndash;9 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e8,338 (98.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e142 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e8,480 (22.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eAdolescents (10\u0026ndash;14 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e6,676 (98.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e125 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e6,801 (18.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e37,114 (98.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e433 (1.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e37,547\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eNot difficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eDifficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eAll\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eInfants (0 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e2,572 (98.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e40 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e2,612 (9.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eToddlers (1\u0026ndash;4 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e13,901 (98.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e180 (1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e14,081 (51.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eChildren (5\u0026ndash;9 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e5,548 (97.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e120 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e5,668 (20.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eAdolescents (10\u0026ndash;14 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e5,071 (97.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e128 (2.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e5,199 (18.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e27,092 (98.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e468 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e27,560\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"671\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eNot difficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eDifficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eAll\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eWomen of childbearing age (15\u0026ndash;44 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e41,602 (96.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e1,503 (3.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e43,105 (9.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003ePregnant women, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e931 (98.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e12 (1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e943 (0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eNot difficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eDifficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eAll\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eWomen of childbearing age (15\u0026ndash;44 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e34,123 (94.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e2,107 (5.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e36,230 (8.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003ePregnant women, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e681 (97.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e20 (2.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e701 (0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"671\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eNot difficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eDifficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eAll\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003ePre-old (65\u0026ndash;74 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e71,158 (97.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e1,904 (2.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e73,062 (27.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eOld (75\u0026ndash;89 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e156,936 (97.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e3,730 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e160,666 (60.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eSuper-old (\u0026ge;90 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e31,806 (97.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e894 (2.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e32,700 (12.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e259,900 (97.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e6,528 (2.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e266,428\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eNot difficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eDifficult-to-transport cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003eAll\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003ePre-old (65\u0026ndash;74 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e60,320 (95.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e2,929 (4.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e63,249 (25.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eOld (75\u0026ndash;89 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e140,982 (95.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e7,466 (5.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e148,448 (60.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eSuper-old (\u0026ge;90 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e32,838 (93.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e2,161 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e34,999 (14.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.30357142857143%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e234,140 (94.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e12,556 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.898809523809526%\"\u003e\n \u003cp\u003e246,696\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Disposition at the emergency department among pediatric patients, women of childbearing age, pregnant women, and elderly patients\u003c/p\u003e\n\u003cp\u003ePediatric patients\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"785\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003eInfants\u003c/p\u003e\n \u003cp\u003e(0 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003eToddlers\u003c/p\u003e\n \u003cp\u003e(1\u0026ndash;4 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003eChildren\u003c/p\u003e\n \u003cp\u003e(5\u0026ndash;9 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003eAdolescents\u003c/p\u003e\n \u003cp\u003e(10\u0026ndash;14 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003eTotal, %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eAdmission, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e650 (19.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e3,103 (16.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e1,410 (16.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e1,023 (15.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e6,186 (16.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eHome, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e2,682 (79.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e15,719 (83.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e7,020 (82.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e5,722 (84.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e31,143 (82.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eTransfer, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e21 (0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e55 (0.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e48 (0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e48 (0.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e172 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eDeath, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e21 (0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e14 (0.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e2 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e8 (0.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e45 (0.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eNo show, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e1 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e1 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e3,375\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e18,891\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e8,480\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e6,801\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e37,547\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003eInfants\u003c/p\u003e\n \u003cp\u003e(0 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003eToddlers\u003c/p\u003e\n \u003cp\u003e(1\u0026ndash;4 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003eChildren\u003c/p\u003e\n \u003cp\u003e(5\u0026ndash;9 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003eAdolescents\u003c/p\u003e\n \u003cp\u003e(10\u0026ndash;14 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003eTotal, %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eAdmission, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e498 (19.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e2,429 (17.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e929 (16.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e908 (17.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e4,764 (17.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eHome, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e2,074 (79.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e11,595 (82.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e4,702 (83.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e4,245 (81.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e22,616 (82.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eTransfer, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e27 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e53 (0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e36 (0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e41 (0.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e157 (0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eDeath, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e12 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e4 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e1 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e5 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e22 (0.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eNo show, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e1 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e1 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.248407643312103%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.885350318471337%\"\u003e\n \u003cp\u003e2,612\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.32484076433121%\"\u003e\n \u003cp\u003e14,081\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.872611464968152%\"\u003e\n \u003cp\u003e5,668\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.547770700636942%\"\u003e\n \u003cp\u003e5,199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.121019108280255%\"\u003e\n \u003cp\u003e27,560\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;Women of childbearing age and pregnant women\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"435\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003ePregnant women, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003eWomen of childbearing age (15\u0026ndash;44 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eAdmission, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e547 (58.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e6,938 (16.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eHome, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e391 (41.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e35,807 (83.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eTransfer, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e5 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e283 (0.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eDeath, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e66 (0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eNo show, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e11 (0.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e943\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e43,105\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003ePregnant women, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003eWomen of childbearing age (15\u0026ndash;44 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eAdmission, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e418 (59.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e6,086 (16.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eHome, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e274 (39.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e29,777 (82.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eTransfer, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e9 (1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e250 (0.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eDeath, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e111 (0.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eNo show, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e6 (0.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.908045977011493%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.71264367816092%\"\u003e\n \u003cp\u003e943\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"41.37931034482759%\"\u003e\n \u003cp\u003e36,230\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;Elderly patients\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"683\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003e2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003ePre-old\u003c/p\u003e\n \u003cp\u003e(65\u0026ndash;74 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003eOld\u003c/p\u003e\n \u003cp\u003e(75\u0026ndash;89 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003eSuper-old\u003c/p\u003e\n \u003cp\u003e(\u0026ge;90 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003eTotal, %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eAdmission, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e31,161 (42.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e80,713 (50.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e20,128 (61.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e132,002 (49.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eHome, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e39,904 (54.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e74,514 (46.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e11,162 (34.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e125,580 (47.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eTransfer, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e1,163 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e2,991 (1.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e593 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e4,747 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eDeath, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e827 (1.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e2,443 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e816 (2.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e4,086 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eNo show, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e7 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e5 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e1 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e13 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e73,062\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e160,666\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e32,700\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e266,428\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003e2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003ePre-old (65\u0026ndash;74 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003eOld (75\u0026ndash;89 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003eSuper-old (\u0026ge;90 y), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003eTotal, %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eAdmission, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e29,369 (46.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e77,541 (52.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e21,529 (61.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e128,439 (52.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eHome, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e31,761 (50.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e64,981 (43.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e11,677 (33.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e108,419 (44.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eTransfer, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e1,163 (1.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e2,991 (2.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e733 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e4887 (2.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eDeath, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e952 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e2,927 (2.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e1,057 (3.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e4,936 (2.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eNo show, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e4 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e8 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e3 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e15 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.249266862170089%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e63,249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.035190615835777%\"\u003e\n \u003cp\u003e148,448\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.14076246334311%\"\u003e\n \u003cp\u003e34,999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.434017595307918%\"\u003e\n \u003cp\u003e246,696\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e Univariate logistic regression analysis of difficult-to-transport cases among pediatric patients, women of childbearing age, pregnant women, elderly patients, and vulnerable patients as a variable.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"596\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003e2021 vs. 2019 (reference)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.187919463087248%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eInfants (0 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eToddlers (1\u0026ndash;4 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eChildren (5\u0026ndash;9 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e0.056\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eAdolescents (10\u0026ndash;14 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"596\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003e2021 vs. 2019 (reference)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.187919463087248%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eWomen of childbearing age (15\u0026ndash;44 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003ePregnant women\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e2.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"596\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003e2021 vs. 2019 (reference)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.187919463087248%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003ePre-old (65\u0026ndash;74 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eOld (75\u0026ndash;89 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eSuper-old (\u0026ge;90 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"596\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003e2021 vs. 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.187919463087248%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eNon-vulnerable patients\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"596\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003e2021 vs. 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.187919463087248%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.79865771812081%\"\u003e\n \u003cp\u003eVulnerable patients\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.93288590604027%\"\u003e\n \u003cp\u003e1.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.040268456375839%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.073825503355705%\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.080536912751677%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5.\u003c/strong\u003e Multivariate logistic regression analysis of difficult-to-transport cases among all patients (pediatric patients, pregnant women, elderly patients, and vulnerable population as a variable)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePediatric patients as a variable\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"733\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.517711171662125%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eYear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.963\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.851\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.773\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eChildren (compared with adult \u0026gt;15 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;Pregnant women as a variable\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"733\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.517711171662125%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eYear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.752\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.448\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.365\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e2.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003ePregnant women\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eElderly patients as a variable\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"733\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.517711171662125%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eYear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.755\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.453\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.373\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e2.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eOld (compared with young \u0026lt;65 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.403\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;Vulnerable patients as a variable\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"733\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.517711171662125%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eYear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.867\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.457\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.328\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e2.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eVulnerable patients (compared with non-vulnerable)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.64032697547684%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.623978201634877%\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.359673024523161%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.079019073569482%\"\u003e\n \u003cp\u003e1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.217983651226158%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6.\u003c/strong\u003e Multivariate logistic regression analysis of death in the ED for all patients in 2019 and 2021 (elderly patients as a variable)\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"697\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.59827833572454%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.715925394548066%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.051649928263988%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eYear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.103\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.845\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.387\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.659\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.242\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eOld (compared with young \u0026lt;65 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e4.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e3.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e4.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;2019\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"697\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.59827833572454%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.715925394548066%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95% confidence interval\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.051649928263988%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.446\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.115\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.041\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.821\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.938\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.038\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.046\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eOld (compared with young \u0026lt;65 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e4.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e3.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e4.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e(omitted)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;2021\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"697\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.59827833572454%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOdds ratio\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.715925394548066%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e95% confidence interval\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.051649928263988%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eFemale (compared with male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eMonth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; June\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; January\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; February\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; March\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; April\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; May\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; July\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.432\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; August\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; September\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.345\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; October\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.512\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; November\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; December\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eWeekends (compared with weekdays)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eNighttime (17:00\u0026ndash;09:00) (compared with daytime)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e1.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e1.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eOld (compared with young \u0026lt;65 y)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e4.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e3.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e4.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.6551724137931%\"\u003e\n \u003cp\u003eCOVID-19 (including suspected cases)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.655172413793103%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.931034482758621%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.172413793103448%\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.517241379310345%\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.068965517241379%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"COVID-19, child, elderly patient, difficult-to-transport case, pregnant woman","lastPublishedDoi":"10.21203/rs.3.rs-3011915/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3011915/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eCoronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread all over the world.\u003c/p\u003e\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eTo assess the influence of the COVID-19 pandemic on emergency medical services (EMS) for vulnerable patients transported by ambulance.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThis study was a retrospective, descriptive study with a study period from 1 January 2019 to 31 December 2021 using the Osaka Emergency Information Research Intelligent Operation Network (ORION) system. We included all pediatric patients, pregnant women, and elderly patients \u0026ge;65 years of age transported by ambulance in Osaka Prefecture. The main outcome of this study was difficult-to-transport cases. We calculated the rate of difficult-to-transport cases under several conditions.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eFor the two year-long periods of 1 January 2019 to 31 December 2019 and 1 January 2021 to 31 December 2021, a total of 887,647 patients were transported to hospital by ambulance in Osaka Prefecture. The total number of vulnerable patients was 579,815 (304,882 in 2019 and 274,933 in 2021). Multivariate logistic regression analysis showed that difficult-to-transport cases were significantly more frequent in 2021 than in 2019. Difficult-to-transport cases were significantly less frequent in the vulnerable population than in the non-vulnerable population (adjusted odds ratio 0.81, 95% confidence interval 0.80\u0026ndash;0.83; \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eDuring the pandemic (2021), difficult-to-transport cases were more frequent compared to pre-pandemic (2019), however, vulnerable patients were not the cause of difficulties in obtaining hospital acceptance for transport.\u003c/p\u003e","manuscriptTitle":"Influence of the COVID-19 outbreak in vulnerable patients (pediatric patients, pregnant women, and elderly patients) on an emergency medical service system: a pre- and post-COVID-19 pandemic comparative study using the population-based ORION registry","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-06-07 15:11:45","doi":"10.21203/rs.3.rs-3011915/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"2480d0c5-81f3-4d9b-81dd-8f61903f5605","owner":[],"postedDate":"June 7th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-06-15T11:29:18+00:00","versionOfRecord":[],"versionCreatedAt":"2023-06-07 15:11:45","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3011915","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3011915","identity":"rs-3011915","version":["v1"]},"buildId":"cBFmMYwuxLRRLfASyISRj","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}