Perception to COVID-19 epidemic and acceptance of vaccination among healthcare workers in Beijing: a survey before the completion of COVID-19 vaccine phase III clinical trials

Perception to COVID-19 epidemic and acceptance of vaccination among healthcare workers in Beijing: a survey before the completion of COVID-19 vaccine phase III clinical trials | 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 Perception to COVID-19 epidemic and acceptance of vaccination among healthcare workers in Beijing: a survey before the completion of COVID-19 vaccine phase III clinical trials Suo Luodan, Ma Rui, Wang Zhongzhan, Tang Tian, Wang Haihong, Liu Fang, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-110888/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: Covid-19 vaccine research and development is progressing and expected to be put into use in a predictable time, we aimed to learn the awareness and acceptance of the new vaccine by healthcare workers (HCWs) in Beijing, China. Methods: A cross-sectional survey was conducted to investigate HCWs including doctors, nurses and technicians from sixty hospitals in Beijing to obtain the perception of COVID-19 epidemic and the attitudes towards vaccination before before the completion of vaccine phase III clinical trials. Multivariate analysis was applied to evaluate the associated factors with intention to get vaccination. Results: A total of 8040 HCWs was recruited. 67.1% reported they would get vaccination, others said unsure or would not. Half of the HCWs were unsure whether the outbreak in China would come back and the global epidemic would last for a long time. 67.6% agreed the epidemic can be prevented by vaccination. Positive associated factors with willingness to get vaccination were mainly included epidemic situation prognosis, perception of disease severity, self infection risk and disease can be prevented by vaccine, etc. Two positive factors of “wanted the vaccine free of charge” (OR:5.807, 95%CI:5.083-6.635, P<0.001) and “believed vaccine approved for license have been fully evaluated in clinical trials” (OR:4.485, 95%CI:3.849-5.227, P<0.001) were strongly associated with willingness to get vaccination, while two factors of “highest academic degree” (OR:0.840, 95%CI:0.772-0.914, P<0.001) and “professional ranks and titles” (OR:0.930, 95%CI:0.865-1.000, P=0.049) were negative associated . Conclusions: A little above moderate willingness to get COVID-19 vaccination was found among HCWs in Beijing before the vaccine being licensed. Free vaccination strategy should be considered to implement, effective measures should be taken to remove barriers and convey correct information through appropriate ways to enhance the acceptance of COVID-19 vaccination among HCWs in China. Infectious Diseases Vaccine Development COVID-19 SARS-CoV-2 Vaccine KAP HCWs Background The COVID-19 pandemic due to infection by the novel SARS-CoV-2 virus with disease symptoms ranges from asymptomatic infections to mild respiratory symptoms, severe pneumonia, acute respiratory distress, and fatality, has resulted in global public health and economic crises since the end of 2019[1-5]. Despite scientific misgivings such as vaccine safety concerns associated with antibody-dependent disease enhancement (ADE) in previous coronavirus animals-vaccinated studies [6], and some socio-political controversies [7], general consensus is that a successful vaccine should be developed as soon as possible to reduce morbidity and mortality [8]. Academic institutions and commercial companies of different countries have been pushing research and development progress and achieving landmark results over the past months[9-11]. Most of COVID-19 vaccine candidates are based on S antigen either as inactivated vaccines, subunit vaccines, viral vectored vaccines, and nucleic acid-based DNA or mRNA vaccines [6]. Latest news indicated that several candidates has entered phase III clinical trials. If the processes continue to go smoothly, the COVID-19 vaccine will be used in wider range of population in a predictable time. What’s more, continuous pandemic will generate simultaneous demand for vaccination around the world. Evidence-based data collection work should certainly be continued, based on experiences of pandemic influenza A (H1N1) vaccine guidelines, it is highly likely that the healthcare workers (HCWs) will be recommended as a priority population as soon as the vaccine been licensed or has been approved for legal chartered emergency vaccination. Lessons also told us that even if the vaccine is successfully developed, future vaccination acceptance of different population including HCWs may not reach the ideal state[12]. In countries such as China, where Non-Pharmacological interventions (NPI, including early case identification and isolation, effectively close contact tracing and management, strictly social distancing, improved hygiene and commonly masks wearing and so on) [13] are strictly implemented and the epidemic was effectively controlled, the awareness and acceptance of the new COVID-19 vaccine by HCWs is still not learn. We conducted a cross-sectional survey in Beijing and hoped to provide references for formulating rational vaccination strategy for China and other counties. Methods Settings According to geographical location, in all 16 districts of Beijing, we opted for Chaoyang and Fengtai district located in urban areas, Changping and Daxing district in the suburbs, Miyun and Huairou district in the outer suburbs, a total of 6 districts to participate in the survey. 10 hospitals in each district, including 2 level III general hospitals, 2 level II general hospitals and 6 level I hospitals/community health centers, were randomly selected. During the COVID-19 epidemic in Beijing, Level II and III general hospitals took responsibility for the diagnosis and treatment of cases, and Level I hospitals/community health center were involved in community population screening or nucleic acids sampling. We assumed that HCWs in these hospitals were facing occupational exposure risk. Two infectious disease hospitals that specialize in treating COVID-19 patients, Beijing Ditan Hospital and Youan Hospital affiliated with Capital Medical University, were designated to participate in the survey. Specialist hospitals, including traditional Chinese medical hospitals, children's hospitals, maternity hospitals, dental hospitals, etc., as well as hospitals closed during the epidemic, were excluded in the survey. The investigation began in early May and ended at the middle of June in 2020. Study participants For each hospital being sampled, all doctors, nurses, technicians in the high-risk departments/units, including emergency departments, fever clinics, respiratory system disease departments, intensive care unit, medical imaging departments and laboratory testing departments, were required to be investigated. For other departments, we identified a lowest limit on the number of participants (if the candidate number does not meet the lowest limit, all staff of the department should be investigated). Prior to the survey, we collected the number of target respondents in each hospital, and implemented quality control measures to ensure the response rate exceeded 95%. Study instrument An anonymous questionnaire was developed that assessed the following characteristics of participants: a) demographic characteristics including age, sex, marital status, family situation, job description; b) perception of risk towards COVID-19 epidemic and the severity of the disease; c) attitudes towards COVID-19 vaccination; d) past vaccination history and medical history. Five-point likert-scale were used to assessing the attitude and perception responses, and finally classified into three categories: positive answer, negative answer and uncertain answer. Pilot survey were carried out before the formal use of the questionnaire to ensure that the statement of each question was clear and understandable. We made a mobile phone questionnaire, and the survey was completed by scanning the QR code through WeChat App, which was widely used in China to promote the convenience and compliance of the survey, and helped to avoid missing items. Data analysis We use Mapinfo 9.5 to build the database. Univariate analysis includes frequency and constituent ratio calculation as well as Pearson’s Chi-squared test for differences was performed using SPSS 19.0. Multivariate stepwise logistic regression model was applied to evaluate the associated factors with intention to accept COVID-19 vaccination. The odds ratio and 95% confidence interval were calculated. Alpha was set at the 5% level. Results General demographic characteristics A total of 8040 HCWs participated in the survey, of them 3844 (47.8%) were nurses, 2836 (35.3%) were doctors and 1360 (16.9%) were technicians. Of the respondents, most were less than 50 years old (90.4%) and female (80.4%), 70.3% stated they had participated in the prevention and control of COVID-19 epidemic, 34.4% admitted coming from departments may directly involve in the diagnosis and treatment of patients, and 35.1% reported having received other vaccines in the past 3 years. Details are summarized in table 1. Perception to COVID-19 epidemic The vast majority (95.8%) of the respondents considered that consequences of suffering from SARS-CoV-2 infection were “serious”. 80.1% perceived they might be infected with the virus. 57.5% admitted they were at greater risk of SARS-CoV-2 infection than others, the proportion of doctors, nurses and technicians holding the view decreased successively (P<0.001). Nearly half of the respondents were unsure whether the outbreak in China would come back, and thought the global COVID-19 epidemic would last for a long time (59.2% of doctors hold this view, significantly higher than nurses and technicians (P<0.001)). 67.6% of the respondents agreed that COVID-19 epidemic can be prevented by vaccination, and a slightly lower proportion believed in the safety and effectiveness of the future vaccine. 73.0% of the respondents reported that their life had been seriously disturbed by the epidemic in the past three months, and 43.6% estimated their life and work would still be disturbed in the next six months. Table 2 shows the differences of perception in doctors, nurses and technicians when answered the same question. Attitudes to COVID-19 vaccine Compared with the official media’s propaganda (80.4%), HCWs investigated believed more in the professional staff' advice (94.1%). 80.0% were convinced of COVID-19 vaccine approved for license have been fully evaluated in clinical trials, and 77.4% wanted the future vaccine free of charge. Most importantly, 67.1% of HCWs surveyed reported that they would get COVID-19 vaccination, 7.9% said they would not, and 25.0% said they were unsure. The proportion of those would advise family members to get vaccination (68.2%) was similar to that of their own willingness to vaccinate, however, the proportion of willingness to take children to get vaccination was significantly decreased to 61.9%. For the respondents would be vaccinated, vaccination campaign organized by hospital (75.3%) was obviously more acceptable than vaccination offered by community clinic (24.7%). In general, even if there were statistical differences in the answers of doctors, nurses and technicians on some questions for attitudes to COVID-19 vaccine, the proportion was very similar (table3). Univariate analysis Univariate associations between intention to accept COVID-19 vaccination and the related variables are shown in table 4. gender (P=0.011), age (P<0.001), occupation categories (P<0.001), ward type (P<0.001), highest academic degree (P<0.001), professional ranks and titles (P<0.001), underlying disease (P<0.001), participated in the prevention and control of COVID-19 epidemic (P=0.019), received other vaccines in the past 3 years (P<0.001) and received seasonal influenza vaccine (P<0.001) were significantly associated with greater intention to accept vaccination. Multiple logistic regression model In multiple logistic regression models, some factors showed positive significantly association with intention to get vaccination (table 5), which included “level II hospital” (OR:1.303, P=0.001), “level III” hospital (OR:1.237, P=0.004), “Agreed with suffering from SARS-CoV-2 infection is Serious” (OR:1.368, P=0.031), “Agreed with China's COVID-19 epidemic will come back” (OR:1.346, P<0.001), “Agreed with the global COVID-19 epidemic will last for a long time” (OR:1.208, P=0.004), “Agreed with COVID-19 can be prevented by vaccination” (OR:1.747, P<0.001), “Agreed with the COVID-19 vaccine is safe” (OR:1.915, P<0.001), “Agreed with the COVID-19 vaccine is effective” (OR:1.409, P<0.001), and “Trusted the propaganda of the official media” (OR:1.268, P=0.002). Two factors showed stronger positive significantly association, which were “Wanted the COVID-19 vaccine free of charge” (OR:5.807, P<0.001) and “believed COVID-19 vaccine approved for license have been fully evaluated in clinical trials” (OR:4.485, P<0.001). Two other factors showed negative significantly association, which were “highest academic degree” (OR:0.840, P<0.001) and “professional ranks and titles” (OR:0.930, P=0.049). Discussion China's COVID-19 epidemic has experienced the following stages by the time axis to the end of August 2020: prevention and control outbreaks in Wuhan city and Hubei province (from 2019 to March 2020), prevention and control overseas imported and associated cases (since April 2020 to date), and control local outbreaks in Beijing, Dalian and Urumqi city (since early June 2020 to date) [14-16]. During the time of our investigation, the outbreak in Wuhan city has been already controlled, and the outbreak of Xinfadi wholesale market in Beijing have not yet begun. We did the investigation in this context and found out that the HCWs in Beijing only have a little more above moderate willingness to get the future COVID-19 vaccination, nearly one third of the respondents stated they would not or unsure. This is particularly surprising in a city where facing COVID-19 continuously attacking and even occurred local outbreaks in the past months, as well as historical suffering from huge SARS impact [17]. Two factors were found with strongly associated with intention to accept vaccine, which were “wanted the vaccine free of charge” and “believed vaccine approved for license have been fully evaluated in clinical trials”. Other positive associated factors were mainly about perception of the disease, including epidemic situation prognosis, disease severity, self infection risk, disease can be prevented by vaccine, etc., which were consistent with the common sense and logic of willingness to vaccinate. Concerns about the safety and effectiveness of vaccines were similar with influential factors previously reported in pandemic influenza A (H1N1) vaccine studies [12, 18-20]. Our study also found only slightly more than 60% of the respondents agreed that the vaccine was safe and effective during the investigation. What’s more, more than half of the respondents’ judges of epidemic trend were apparently not consistent with the real situation. This means rooms still leaved for effective interventions to change the HCWs’ perception to improve the acceptance of the COVID-19 vaccine. Negative associated factors including “highest academic degree” and “professional ranks and titles” were not strong but worthy of attention. This may be due to higher correct cognition of the disease and vaccine, or be more confident with the effect of Non-Pharmacological control interventions, so they tended to hold more cautious attitudes to accept a new vaccine. HCWs are the high-risk group of infection, the bridge group of hospital infection transmission, and also the professional playing key roles to recommend vaccine to the general population. The reason may need to further study to avoid the negative of authority effect on vaccination. Reviewing the pandemic influenza A (H1N1) vaccination process in 2009, the reported willingness of HCWs were usually 13-89% in different studies while the actual vaccination rate is slightly lower [12]. In China, willingness of the HCWs were about 50-80% to get vaccination in the early and rapid rising period and dropped to 20-30% at the peak of the influenza A (H1N1) epidemic. One main reason is the public thought the disease was not serious as expected [21]. Under the implementation of a free and voluntary influenza A (H1N1) vaccination strategy, the coverage rate of HCWs in Beijing were finally achieved 71% which were much higher than that of the general population 12.6% [22]. A successful vaccination strategy does not just protect the health of HCWs, but also limit the transmission between the health sector and the community. Measures may be recommended to improve HCWs’ vaccination acceptance and encourage them play an exemplary role for the public: results of phase III clinical trials and post-licensed studies should continue to be published in peer-reviewed journals to maintain openness and transparency; evidence-based evaluation should be started, National Immunization Advisory Committee(NIAC), technical guidelines of Physicians Association and other ways should be made full use to provide authoritative information to HCWs; correct information should be ensure to transmit to the leaders and members of medical professional associations to mobilize them to participate in vaccination. Conclusions In summary, our study found that the HCWs in Beijing have a little more above moderate willingness to get the future COVID-19 vaccination before the completion of phase III vaccineclinical trials, and the willingness were strongly associated with the perception of whether the vaccine is free and safe. It suggested that free vaccination strategy should be considered to be implemented, hard work and effective measures should be taken immediately to remove barriers and convey correct information through appropriate ways to further enhance the awareness and improve acceptance of COVID-19 vaccination among HCWs in China. Declarations Ethics approval and consent to participate The method of this study was performed in accordance with the Declaration of Helsinki. Ethical approval was sought and granted from the Institutional Review Board and Human Research Ethics Committee of the Beijing Center for Disease Prevention and Control (Ethical approval No. 2020 (25)). The research was carried out in strict accordance with the research plan approved by the ethics committee. We obtained subjects’ informed consent before the start of the interviews. Consent for publication Written informed consent for publication was obtained from all participants. Data availability statements The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. Competing interests All authors report no potential conflict of interest. Funding statement No outside funding was used to support this study. The authors contribution SLD participated in the conceptualization, data curation, formal analysis, methodology, project administration, writing - original draft; MR, LL, PXH contributed to the conceptualization, resources, data curation, formal analysis, methodology, writing-review&editing. WZZ, TT, WHH, LF, TJF, PXH, GX were involved in data curation and writing-review&editing. All authors read and approved the final manuscript. Acknowledgments We thank the staff members in the district Centres for Disease Prevention and Control and hospitals in Beijing for conducting field investigation. We also thank all HCWs involved in the study. 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(in Chinese) Https://doi: 10.3760/cma.j.issn.0254-6450.2010.05.029 PMID: 22993765 Tables Table 1 Characteristics of the respondents Variable No.of HCWs,n=8040 (%) Age group (years) 18–30 2452(30.5) 31–40 3141(39.1) 41–50 1679(20.8) 51–60 705(8.8) 60- 63(0.8) Gender Male 1578(19.6) Female 6462(80.4) Occupational cohort (three largest categories) Doctors 2836(35.3) Nurses 3844(47.8) Technicians 1360(16.9) Ward type Fever screening clinic 384(4.8) Respiratory department 555(6.9) Emergency department 703(8.7) Intensive Care Unit 528(6.6) Medical imaging department 258(3.2) Laboratory department 332(4.1) Other 5280(65.7) Hospital level Level I 2328(29.0) Level II 2391(29.7) Level III 3321(41.3) Highest level of education Junior college or below 2653(33.0) Undergraduate degree 4242(52.8) Master degree candidate 975(12.1) Doctoral candidate 170(2.1) Professional ranks and titles Junior 833(10.4) Intermediate 2909(36.2) Senior 3713(46.2) No title 585(7.3) Underlying disease Yes 887(11.0) No 7153(89.1) Participated in the prevention and control of epidemic 5656(70.3) Received other vaccines in the past 3 years 2822(35.1) Seasonal influenza vaccine 1968(24.5) Table 2 Perception to COVID-19 epidemic by HCW category Questions Total,n=8040(%) Doctors, n=2836(%) Nurses, n=3844(%) Technicians, n=1360(%) P value* Q1 Is it serious suffering from Sars-cov-2 infection? Not serious 33(0.4) 14(0.5) 10(0.3) 9(0.7) <0.001 Little serious 307(3.8) 176(6.2) 95(2.5) 36(2.6) Serious 7700(95.8) 2646(93.3) 3739(97.3) 1315(96.7) Q2 Are you likely to be infected with Sars-cov-2? Unlikely 2135(26.6) 612(21.6) 1000(26.0) 523(38.5) <0.001 Likely 4382(54.5) 1646(58.0) 2094(54.5) 642(47.2) Very likely 1523(18.9) 578(20.4) 750(19.5) 195(14.3) Q3 Are you at greater risk of Sars-cov-2 infection than other people? Agree 4627(57.5) 1815(64.0) 2277(59.2) 535(39.3) <0.001 Disagree 1353(16.8) 480(16.9) 542(14.1) 331(24.3) Unsure 2060(25.6) 541(19.1) 1025(26.7) 494(36.3) Q4 If you got a Sars-cov-2 infection, do you think you will suffer from more serious symptoms than others? Agree 1247(15.5) 420(14.8) 643(16.7) 184(13.5) 0.004 Disagree 2034(25.3) 759(26.8) 912(23.7) 363(26.7) Unsure 59.2(59.2) 1657(58.4) 2289(59.5) 813(59.8) Q5 Do you think China's COVID-19 epidemic will come back? Agree 1850(23.0) 788(27.8) 850(22.1) 212(15.6) <0.001 Disagree 2144(26.7) 726(25.6) 951(24.7) 467(34.3) Unsure 4046(50.3) 1322(46.6) 2043(53.1) 681(50.1) Q6 Do you think the global COVID-19 epidemic will last for a long time? Agree 3996(49.7) 1679(59.2) 1738(45.2) 579(42.6) <0.001 Disagree 1141(14.2) 378(13.3) 539(14.0) 224(16.5) Unsure 2903(36.1) 779(27.5) 1567(40.8) 557(41.0) Q7 Do you think COVID-19 can be prevented by vaccination? Agree 5439(67.6) 1976(69.7) 2556(66.5) 907(66.7) <0.001 Disagree 450(5.6) 181(6.4) 208(5.4) 61(4.5) Unsure 2151(26.8) 679(23.9) 1080(28.1) 392(28.8) Q8 Do you think the COVID-19 vaccine is safe? Agree 4929(61.3) 1727(60.9) 2363(61.5) 839(61.7) 0.902 Disagree 101(1.3) 34(1.2) 47(1.2) 20(1.5) Unsure 3010(37.4) 1075(37.9) 1434(37.3) 501(36.8) Q9 Do you think the COVID-19 vaccine is effective? Agree 5024(62.5) 1761(62.1) 2401(62.5) 862(63.4) 0.213 Disagree 48(0.6) 24(0.8) 20(0.5) 4(0.3) Unsure 2968(36.9) 1051(37.1) 1423(37.0) 494(36.3) Q10 How disturbed have you been in your work and life in the past 3 months? Not serious 253(3.1) 62(2.2) 137(3.6) 54(4.0) <0.001 Little serious 1921(23.9) 588(20.7) 1003(26.1) 330(24.3) Serious 5866(73.0) 2186(77.1) 2704(70.3) 976(71.8) Q11 In the next period of time (6 months), how much do you expect the work and life to be disturbed by the epidemic? Not serious 792(9.9) 269(9.5) 377(9.8) 146(10.7) 0.638 Little serious 3746(46.6) 1308(46.1) 1802(46.9) 636(46.8) Serious 3502(43.6) 1259(44.4) 1665(43.3) 578(42.5) * χ 2 test. Table 3 Attitudes to COVID-19 vaccine by HCW category Questions Total,n=8040(%) Doctors, n=2836(%) Nurses, n=3844(%) Technicians, n=(%) P value* Q1 Do you trust the propaganda of the official media? Believe 6462(80.4) 2385(84.1) 2983(77.6) 1094(80.4) <0.001 Disbelieve 319(4.0) 99(3.5) 171(4.4) 49(3.6) Unsure 1259(15.7) 352(12.4) 690(18.0) 217(16.0) Q2 Do you trust professional staff' advices? Believe 7563(94.1) 2663(93.9) 3634(94.5) 1266(93.1) 0.266 Disbelieve 31(0.4) 13(0.5) 14(0.4) 4(0.3) Unsure 446(5.5) 160(5.6) 196(5.1) 90(6.6) Q3 If COVID-19 vaccine is approved for licenses, do you want it free of charge? Yes 6221(77.4) 2125(74.9) 3043(79.2) 1053(77.4) <0.001 No 293(3.6) 127(4.5) 115(3.0) 51(3.8) Either is OK 1526(19.0) 584(20.6) 686(17.8) 256(18.8) Q4 Do you believe that COVID-19 vaccine approved for license has been fully evaluated in clinical trials? Believe 6431(80.0) 2220(78.3) 3118(81.1) 1093(80.4) <0.001 Disbelieve 144(1.8) 75(2.6) 49(1.3) 20(1.5) Unsure 1465(18.2) 541(19.1) 677(17.6) 247(18.2) Q5 Will you go to get COVID-19 vaccination in the future? Yes 5395(67.1) 1849(65.2) 2636(68.6) 910(66.9) <0.001 No 632(7.9) 269(9.5) 251(6.5) 112(8.2) Unsure 2013(25.0) 718(25.3) 957(24.9) 338(24.9) Q6 a Where would you like to get COVID-19 vaccination? Community vaccination clinic 1331(24.7) 478(25.9) 570(21.6) 283(31.1) <0.001 Vaccination campaign organized by hospital 4064(75.3) 1371(74.1) 2066(78.4) 627(68.9) Q7 Will you advise your family members to get COVID-19 vaccination? Yes 5486(68.2) 1857(65.5) 2682(69.8) 947(69.6) 0.001 No 514(6.4) 213(7.5) 214(5.6) 87(6.4) Unsure 2040(25.4) 766(27.0) 948(24.7) 326(24.0) Q8 b Will you take your children to get COVID-19 vaccination?? Yes 2643(61.9) 995(59.5) 1221(62.3) 427(67.0) 0.02 No 359(8.4) 154(9.2) 159(8.1) 46(7.2) Unsure 1267(29.7) 523(31.3) 580(29.6) 164(25.7) Q9 Who do you trust most offering COVID-19 vaccine information(multiple choice)? Official media 6862(85.3) 2379(83.9) 3346(87.0) 1137(83.6) <0.001 Medical specialist 7134(88.7) 2427(85.6) 3511(91.3) 1196(87.9) <0.001 Relatives and friends 317(3.9) 76(2.7) 155(4.0) 86(6.3) <0.001 Colleagues 415(5.2) 96(3.4) 243(6.3) 76(5.6) <0.001 Medical literature 4786(59.5) 1844(65.0) 2282(59.4) 660(48.5) <0.001 Online media 492(6.1) 105(3.7) 264(6.9) 123(9.0) <0.001 a Only for those who are willing to be vaccinated b Only for parents with children under 18 years old * χ 2 test. Table 4 Univariate association of variables affecting the intention to accept COVID-19 vaccination of HCWs in Beijing, China Variables Intention to accept vaccination P value* Yes,n=5395(%) No,n=632(%) Unsure=2013,n(%) Gender Male 1077(68.3) 144(9.1) 357(22.6) 0.011 Female 4318(66.8) 488(7.6) 1656(25.6) Age group (years) 18–30 1733(70.7) 140(5.7) 579(23.6) <0.001 31–40 2096(66.7) 241(7.7) 804(25.6) 41–50 1050(62.5) 178(10.6) 451(26.9) 51–60 466(66.1) 71(10.1) 168(23.8) 60- 50(67.1) 2(3.2) 11(17.5) Occupational cohort (three largest categories) Doctors 1849(65.2) 269(9.5) 718(25.3) <0.001 Nurses 2636(68.6) 251(6.5) 957(24.9) Technicians and others 910(66.9) 112(8.2) 338(24.9) Ward type Fever screening clinic 234(60.9) 42(10.9) 108(28.1) <0.001 Respiratory department 399(71.9) 37(6.7) 119(21.4) Emergency department 507(72.1) 50(7.1) 146(20.8) Intensive Care Unit 364(68.9) 37(7.0) 127(24.1) Medical imaging department 167(64.7) 20(7.8) 71(27.5) Laboratory department 176(53.0) 45(13.6) 111(33.4) Other 3548(67.2) 401(7.6) 1331(25.2) Hospital level Level I 2160(65.0) 301(9.1) 860(25.9) <0.001 Level II 1675(70.1) 153(6.4) 563(23.5) Level III 1560(67.0) 178(7.6) 590(25.3) Highest academic degree Junior college or below 1903(71.7) 158(6.0) 592(22.3) <0.001 Undergraduate degree 2784(65.6) 347(8.2) 1111(26.2) Master degree candidate 609(62.5) 105(10.8) 261(26.8) Doctoral candidate 99(58.2) 22(12.9) 49(28.8) Professional ranks and titles Junior 2618(70.5) 236(6.4) 859(23.1) <0.001 Intermediate 1832(63.0) 263(9.0) 814(28.0) Senior 519(62.3) 96(11.5) 218(26.2) No title 426(72.8) 37(6.3) 122(20.9) Underlying disease Yes 533(60.1) 85(9.6) 269(30.3) <0.001 No 4862(68.0) 547(7.6) 1744(24.4) Participated in the prevention and control of epidemic Yes 3849(68.1) 435(7.7) 1372(24.3) 0.019 No 1546(64.8) 197(8.3) 641(26.9) Received other vaccines in the past 3 years Yes 2098(74.3) 137(4.9) 587(20.8) <0.001 No 3297(63.2) 495(9.5) 1426(27.3) Seasonal influenza vaccine Yes 1509(76.7) 89(4.5) 370(18.8) <0.001 No 3886(64.0) 543(8.9) 1643(27.1) Table 5 Multiple logistic regression model for intention to accept COVID-19 vaccination of HCWs in Beijing, China Variables Univariate logistic regression model Multiple logistic regression model Odds Ratio(95%CI) P value Adjusted Odds Ratio(95%CI) P value Male gender 1.067（0.949-1.201） 0.279 Age group Years≤40 0.819(0.741-0.905) 40 1.221(1.105-1.350) <0.001 Occupational cohort (three largest categories) Doctors 0.876(0.795-0.965) 0.007 Nurses 1.137(1.035-1.248) 0.007 Technicians and others 0.990(0.874-1.120) 0.87 Ward type COVID-19 related department 0.988(0.895-1.089) 0.802 Other 1.013(0.918-1.117) 0.802 Hospital level Level I 0.994(0.897-1.102) 0.911 Level II 1.213(1.094-1.345) <0.001 1.303(1.118-1.520) 0.001 Level III 0.853(0.777-0.938) 0.001 1.237(1.072-1.427) 0.004 Higher academic degree 0.804(0.754-0.858) 0.001 0.840(0.772-0.914) <0.001 Higher income 0.852(0.790-0.919) <0.001 Professional ranks and titles 0.934(0.887-0.983) 0.009 0.930(0.865-1.000) 0.049 Underlying disease 0.709(0.615-0.819) <0.001 Participated in the prevention and control of epidemic 0.866(0.783-0.958) 0.005 Received other vaccines in the past 3 years 1.688(1.525-1.869) <0.001 Seasonal influenza vaccine 1.849(1.645-2.079) <0.001 Perception to COVID-19 epidemic Q1 Answer: "Serious" 1.753(1.409-2.182) <0.001 1.368(1.030-1.817) 0.031 Q2 Answer: "Likely or Very likely" 1.123(1.012-1.247) 0.029 Q3 Answer: "Agree" 1.205(1.097-1.324) <0.001 Q4 Answer: "Agree" 1.157(1.015-1.318) 0.029 Q5 Answer: "Agree" 1.129(1.009-1.262) 0.034 1.346(1.150-1.576) <0.001 Q6 Answer: "Agree" 1.319(1.202-1.448) <0.001 1.208(1.062-1.373) 0.004 Q7 Answer: "Agree" 4.404(3.983-4.869) <0.001 1.747(1.521-2.007) <0.001 Q8 Answer: "Agree" 5.598(5.061-6.193) <0.001 1.915(1.617-2.268) <0.001 Q9 Answer: "Agree" 5.289(4.784-5.848) <0.001 1.409(1.184-1.677) <0.001 Q10 Answer: "Serious" 1.110(1.000-1.231) 0.049 Q11 Answer: "Serious" 1.074(0.978-1.180) 0.137 Attitudes to COVID-19 vaccine Q1 Answer: "Believe" 2.898(2.589-3.244) <0.001 1.268(1.089-1.478) 0.002 Q2 Answer: "Believe" 6.326(5.134-7.795) <0.001 Q3 Answer: "Yes" 8.124(7.230-9.129) <0.001 5.807(5.083-6.635) <0.001 Q4 Answer: "Believe" 9.594(8.463-10.877) <0.001 4.485(3.849-5.227) <0.001 For the dependent variable "accept covid-19 vacciation", answer “Yes” is assigned as 1, answer “No” or “Unsure” is assigned as 0; if the independent variable is an ordered classification variable, it is set as dumb variables. All variables significant at p<0.1 in univariate logistic regression could be selected in the final multivariable stepwise logistic regression analysis. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-110888","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":6598783,"identity":"0cae19a3-a775-4b39-b2c1-cae85b2849cd","order_by":0,"name":"Suo Luodan","email":"","orcid":"","institution":"Beijing Center for Disease Prevention and Control","correspondingAuthor":false,"prefix":"","firstName":"Suo","middleName":"","lastName":"Luodan","suffix":""},{"id":6598787,"identity":"11513d5c-35db-401e-9194-74fc134eafde","order_by":1,"name":"Ma Rui","email":"","orcid":"","institution":"Beijing Center for Disease Prevention and Control","correspondingAuthor":false,"prefix":"","firstName":"Ma","middleName":"","lastName":"Rui","suffix":""},{"id":6598790,"identity":"4e316c0e-fbb4-407e-8daf-130294bb9ee1","order_by":2,"name":"Wang Zhongzhan","email":"","orcid":"","institution":"Fengtai District Center for Disease Preventionand and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Wang","middleName":"","lastName":"Zhongzhan","suffix":""},{"id":6598792,"identity":"34be49d6-47a2-4438-98f3-b69b8558de01","order_by":3,"name":"Tang Tian","email":"","orcid":"","institution":"Fengtai District Center for Disease Preventionand and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Tang","middleName":"","lastName":"Tian","suffix":""},{"id":6598795,"identity":"1d2fd785-fbf0-4040-9c1a-58bd36904c8a","order_by":4,"name":"Wang Haihong","email":"","orcid":"","institution":"Changping District Center for Disease Prevention and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Wang","middleName":"","lastName":"Haihong","suffix":""},{"id":6598796,"identity":"e20d36fe-2aeb-4c11-9625-eaf72709ea1f","order_by":5,"name":"Liu Fang","email":"","orcid":"","institution":"Chaoyang District Center for Disease Prevention and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Liu","middleName":"","lastName":"Fang","suffix":""},{"id":6598797,"identity":"91f692ef-e149-4a37-8ab2-730ae949ac98","order_by":6,"name":"Tang Jinfeng","email":"","orcid":"","institution":"Daxing District Center for Disease Prevention and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Tang","middleName":"","lastName":"Jinfeng","suffix":""},{"id":6598798,"identity":"6f375c51-4876-45a9-9ab2-cfc83315d4f0","order_by":7,"name":"Peng Xinghui","email":"","orcid":"","institution":"Miyun District Center for Disease Prevention and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Peng","middleName":"","lastName":"Xinghui","suffix":""},{"id":6598799,"identity":"a2b8ebe5-365e-4cc6-8f38-0c43b8342332","order_by":8,"name":"Guo Xue","email":"","orcid":"","institution":"Huairou District Center for Disease Prevention and Control, Beijing","correspondingAuthor":false,"prefix":"","firstName":"Guo","middleName":"","lastName":"Xue","suffix":""},{"id":6598800,"identity":"6fdf6f92-3c49-4f07-b3b7-46fc4a20f782","order_by":9,"name":"Lu Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAApElEQVRIiWNgGAWjYBACPgbmhsMMPDYMbERrYWNgBGlJI1ELMwPDYRIcxiaR2Hi4QOa8PZ908wOGHxXbiNLScHgGz+3ENpljBow9Z24TqYWH53YCm0SCATNjG/FaztmzSaR/IEnLAcY2iRxibeF5CPJLciJQS8FBovzCz558+HNhj529/Iz0jQ9+VBChBQwYeyD0ASLVg8APEtSOglEwCkbByAMAi242Rg//2KsAAAAASUVORK5CYII=","orcid":"","institution":"Beijing Center for Disease Prevention and Control","correspondingAuthor":true,"prefix":"","firstName":"Lu","middleName":"","lastName":"Li","suffix":""},{"id":6598801,"identity":"23189e67-1444-43d3-a8c3-952ac82817c8","order_by":10,"name":"Pang Xinghuo","email":"","orcid":"","institution":"Beijing Center for Disease Prevention and Control","correspondingAuthor":false,"prefix":"","firstName":"Pang","middleName":"","lastName":"Xinghuo","suffix":""}],"badges":[],"createdAt":"2020-11-18 10:14:03","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-110888/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-110888/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":13638693,"identity":"4bee6a61-8a07-4d63-9685-e8c668fd2b89","added_by":"auto","created_at":"2021-09-17 08:51:34","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":425826,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-110888/v1/ebe2c47b-5ee3-4bf1-9104-3e2b8c96085e.pdf"}],"financialInterests":"","formattedTitle":"Perception to COVID-19 epidemic and acceptance of vaccination among healthcare workers in Beijing: a survey before the completion of COVID-19 vaccine phase III clinical trials","fulltext":[{"header":"Background","content":"\u003cp\u003eThe COVID-19 pandemic due to infection by the novel SARS-CoV-2 virus with disease symptoms ranges from asymptomatic infections to mild respiratory symptoms, severe pneumonia, acute respiratory distress, and fatality, has resulted in global public health and economic crises since the end of 2019[1-5]. Despite scientific misgivings such as vaccine safety concerns associated with antibody-dependent disease enhancement (ADE) in previous coronavirus animals-vaccinated studies [6], and some socio-political controversies [7], general consensus is that a successful vaccine should be developed as soon as possible to reduce morbidity and mortality [8]. Academic institutions and commercial companies of different countries have been pushing research and development progress and achieving landmark results over the past months[9-11]. Most of COVID-19 vaccine candidates are based on S antigen either as inactivated vaccines, subunit vaccines, viral vectored vaccines, and nucleic acid-based DNA or mRNA vaccines [6]. Latest news indicated that several candidates has entered phase III clinical trials. If the processes continue to go smoothly, the COVID-19 vaccine will be used in wider range of population in a predictable time. What\u0026rsquo;s more, continuous pandemic will generate simultaneous demand for vaccination around the world.\u003c/p\u003e\n\u003cp\u003eEvidence-based data collection work should certainly be continued, based on experiences of pandemic influenza A (H1N1) vaccine guidelines, it is highly likely that the healthcare workers (HCWs) will be recommended as a priority population as soon as the vaccine been licensed or has been approved for legal chartered emergency vaccination. Lessons also told us that even if the vaccine is successfully developed, future vaccination acceptance of different population including HCWs may not reach the ideal state[12]. In countries such as China, where Non-Pharmacological interventions (NPI, including early case identification and isolation, effectively close contact tracing and management, strictly social distancing, improved hygiene and commonly masks wearing and so on) [13] are strictly implemented and the epidemic was effectively controlled, the awareness and acceptance of the new COVID-19 vaccine by HCWs is still not learn. We conducted a cross-sectional survey in Beijing and hoped to provide references for formulating rational vaccination strategy for China and other counties.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eSettings\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAccording to geographical location, in all 16 districts of Beijing, we opted for Chaoyang and Fengtai district located in urban areas, Changping and Daxing district in the suburbs, Miyun and Huairou district in the outer suburbs, a total of 6 districts to participate in the survey. 10 hospitals in each district, including 2 level III general hospitals, 2 level II general hospitals and 6 level I hospitals/community health centers, were randomly selected. During the COVID-19 epidemic in Beijing, Level II and III general hospitals took responsibility for the diagnosis and treatment of cases, and Level I hospitals/community health center were involved in community population screening or nucleic acids sampling. We assumed that HCWs in these hospitals were facing occupational exposure risk.\u003c/p\u003e\n\u003cp\u003eTwo infectious disease hospitals that specialize in treating COVID-19 patients, Beijing Ditan Hospital and Youan Hospital affiliated with Capital Medical University, were designated to participate in the survey. Specialist hospitals, including traditional Chinese medical hospitals, children's hospitals, maternity hospitals, dental hospitals, etc., as well as hospitals closed during the epidemic, were excluded in the survey. The investigation began in early May and ended at the middle of June in 2020.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudy participants\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor each hospital being sampled, all doctors, nurses, technicians in the high-risk departments/units, including emergency departments, fever clinics, respiratory system disease departments, intensive care unit, medical imaging departments and laboratory testing departments, were required to be investigated. For other departments, we identified a lowest limit on the number of participants (if the candidate number does not meet the lowest limit, all staff of the department should be investigated). Prior to the survey, we collected the number of target respondents in each hospital, and implemented quality control measures to ensure the response rate exceeded 95%.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudy instrument\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAn anonymous questionnaire was developed that assessed the following characteristics of participants: a) demographic characteristics including age, sex, marital status, family situation, job description; b) perception of risk towards COVID-19 epidemic and the severity of the disease; c) attitudes towards COVID-19 vaccination; d) past vaccination history and medical history. Five-point likert-scale were used to assessing the attitude and perception responses, and finally classified into three categories: positive answer, negative answer and uncertain answer.\u003c/p\u003e\n\u003cp\u003ePilot survey were carried out before the formal use of the questionnaire to ensure that the statement of each question was clear and understandable. We made a mobile phone questionnaire, and the survey was completed by scanning the QR code through WeChat App, which was widely used in China to promote the convenience and compliance of the survey, and helped to avoid missing items.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe use Mapinfo 9.5 to build the database. Univariate analysis includes frequency and constituent ratio calculation as well as Pearson\u0026rsquo;s Chi-squared test for differences was performed using SPSS 19.0. Multivariate stepwise logistic regression model was applied to evaluate the associated factors with intention to accept COVID-19 vaccination. The odds ratio and 95% confidence interval were calculated. Alpha was set at the 5% level.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eGeneral demographic characteristics \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 8040 HCWs participated in the survey, of them 3844 (47.8%) were nurses, 2836 (35.3%) were doctors and 1360 (16.9%) were technicians. Of the respondents, most were less than 50 years old (90.4%) and female (80.4%), 70.3% stated they had participated in the prevention and control of COVID-19 epidemic, 34.4% admitted coming from departments may directly involve in the diagnosis and treatment of patients, and 35.1% reported having received other vaccines in the past 3 years. Details are summarized in table 1.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerception to COVID-19 epidemic\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe vast majority (95.8%) of the respondents considered that consequences of suffering from SARS-CoV-2 infection were \u0026ldquo;serious\u0026rdquo;. 80.1% perceived they might be infected with the virus. 57.5% admitted they were at greater risk of SARS-CoV-2 infection than others, the proportion of doctors, nurses and technicians holding the view decreased successively (P\u0026lt;0.001). Nearly half of the respondents were unsure whether the outbreak in China would come back, and thought the global COVID-19 epidemic would last for a long time (59.2% of doctors hold this view, significantly higher than nurses and technicians (P\u0026lt;0.001)). 67.6% of the respondents agreed that COVID-19 epidemic can be prevented by vaccination, and a slightly lower proportion believed in the safety and effectiveness of the future vaccine. 73.0% of the respondents reported that their life had been seriously disturbed by the epidemic in the past three months, and 43.6% estimated their life and work would still be disturbed in the next six months. Table 2 shows the differences of perception in doctors, nurses and technicians when answered the same question.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAttitudes to COVID-19 vaccine\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCompared with the official media\u0026rsquo;s propaganda (80.4%), HCWs investigated believed more in the professional staff' advice (94.1%). 80.0% were convinced of COVID-19 vaccine approved for license have been fully evaluated in clinical trials, and 77.4% wanted the future vaccine free of charge. Most importantly, 67.1% of HCWs surveyed reported that they would get COVID-19 vaccination, 7.9% said they would not, and 25.0% said they were unsure. The proportion of those would advise family members to get vaccination (68.2%) was similar to that of their own willingness to vaccinate, however, the proportion of willingness to take children to get vaccination was significantly decreased to 61.9%. For the respondents would be vaccinated, vaccination campaign organized by hospital (75.3%) was obviously more acceptable than vaccination offered by community clinic (24.7%). In general, even if there were statistical differences in the answers of doctors, nurses and technicians on some questions for attitudes to COVID-19 vaccine, the proportion was very similar (table3).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eUnivariate analysis \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; Univariate associations between intention to accept COVID-19 vaccination and the related variables are shown in table 4. gender (P=0.011), age (P\u0026lt;0.001), occupation categories (P\u0026lt;0.001), ward type (P\u0026lt;0.001), highest academic degree (P\u0026lt;0.001), professional ranks and titles (P\u0026lt;0.001), underlying disease (P\u0026lt;0.001), participated in the prevention and control of COVID-19 epidemic (P=0.019), received other vaccines in the past 3 years (P\u0026lt;0.001) and received seasonal influenza vaccine (P\u0026lt;0.001) were significantly associated with greater intention to accept vaccination.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMultiple logistic regression model\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn multiple logistic regression models, some factors showed positive significantly association with intention to get vaccination (table 5), which included \u0026ldquo;level II hospital\u0026rdquo; (OR:1.303, P=0.001), \u0026ldquo;level III\u0026rdquo; hospital (OR:1.237, P=0.004), \u0026ldquo;Agreed with suffering from SARS-CoV-2 infection is Serious\u0026rdquo; (OR:1.368, P=0.031), \u0026ldquo;Agreed with China's COVID-19 epidemic will come back\u0026rdquo; (OR:1.346, P\u0026lt;0.001), \u0026ldquo;Agreed with the global COVID-19 epidemic will last for a long time\u0026rdquo; (OR:1.208, P=0.004), \u0026ldquo;Agreed with COVID-19 can be prevented by vaccination\u0026rdquo; (OR:1.747, P\u0026lt;0.001), \u0026ldquo;Agreed with the COVID-19 vaccine is safe\u0026rdquo; (OR:1.915, P\u0026lt;0.001), \u0026ldquo;Agreed with the COVID-19 vaccine is effective\u0026rdquo; (OR:1.409, P\u0026lt;0.001), and \u0026ldquo;Trusted the propaganda of the official media\u0026rdquo; (OR:1.268, P=0.002). Two factors showed stronger positive significantly association, which were \u0026ldquo;Wanted the COVID-19 vaccine free of charge\u0026rdquo; (OR:5.807, P\u0026lt;0.001) and \u0026ldquo;believed COVID-19 vaccine approved for license have been fully evaluated in clinical trials\u0026rdquo; (OR:4.485, P\u0026lt;0.001). Two other factors showed negative significantly association, which were \u0026ldquo;highest academic degree\u0026rdquo; (OR:0.840, P\u0026lt;0.001) and \u0026ldquo;professional ranks and titles\u0026rdquo; (OR:0.930, P=0.049).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eChina's COVID-19 epidemic has experienced the following stages by the time axis to the end of August 2020: prevention and control outbreaks in Wuhan city and Hubei province (from 2019 to March 2020), prevention and control overseas imported and associated cases (since April 2020 to date), and control local outbreaks in Beijing, Dalian and Urumqi city (since early June 2020 to date) [14-16]. During the time of our investigation, the outbreak in Wuhan city has been already controlled, and the outbreak of Xinfadi wholesale market in Beijing have not yet begun. We did the investigation in this context and found out that the HCWs in Beijing only have a little more above moderate willingness to get the future COVID-19 vaccination, nearly one third of the respondents stated they would not or unsure. This is particularly surprising in a city where facing COVID-19 continuously attacking and even occurred local outbreaks in the past months, as well as historical suffering from huge SARS impact [17].\u003c/p\u003e\n\u003cp\u003eTwo factors were found with strongly associated with intention to accept vaccine, which were \u0026ldquo;wanted the vaccine free of charge\u0026rdquo; and \u0026ldquo;believed vaccine approved for license have been fully evaluated in clinical trials\u0026rdquo;. Other positive associated factors were mainly about perception of the disease, including epidemic situation prognosis, disease severity, self infection risk, disease can be prevented by vaccine, etc., which were consistent with the common sense and logic of willingness to vaccinate. Concerns about the safety and effectiveness of vaccines were similar with influential factors previously reported in pandemic influenza A (H1N1) vaccine studies [12, 18-20]. Our study also found only slightly more than 60% of the respondents agreed that the vaccine was safe and effective during the investigation. What\u0026rsquo;s more, more than half of the respondents\u0026rsquo; judges of epidemic trend were apparently not consistent with the real situation. This means rooms still leaved for effective interventions to change the HCWs\u0026rsquo; perception to improve the acceptance of the COVID-19 vaccine.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Negative associated factors including \u0026ldquo;highest academic degree\u0026rdquo; and \u0026ldquo;professional ranks and titles\u0026rdquo; were not strong but worthy of attention. This may be due to higher correct cognition of the disease and vaccine, or be more confident with the effect of Non-Pharmacological control interventions, so they tended to hold more cautious attitudes to accept a new vaccine. HCWs are the high-risk group of infection, the bridge group of hospital infection transmission, and also the professional playing key roles to recommend vaccine to the general population. The reason may need to further study to avoid the negative of authority effect on vaccination.\u003c/p\u003e\n\u003cp\u003eReviewing the pandemic influenza A (H1N1) vaccination process in 2009, the reported willingness of HCWs were usually 13-89% in different studies while the actual vaccination rate is slightly lower [12]. In China, willingness of the HCWs were about 50-80% to get vaccination in the early and rapid rising period and dropped to 20-30% at the peak of the influenza A (H1N1) epidemic. One main reason is the public thought the disease was not serious as expected [21]. Under the implementation of a free and voluntary influenza A (H1N1) vaccination strategy, the coverage rate of HCWs in Beijing were finally achieved 71% which were much higher than that of the general population 12.6% [22].\u003c/p\u003e\n\u003cp\u003eA successful vaccination strategy does not just protect the health of HCWs, but also limit the transmission between the health sector and the community. Measures may be recommended to improve HCWs\u0026rsquo; vaccination acceptance and encourage them play an exemplary role for the public: results of phase III clinical trials and post-licensed studies should continue to be published in peer-reviewed journals to maintain openness and transparency; evidence-based evaluation should be started, National Immunization Advisory Committee(NIAC), technical guidelines of Physicians Association and other ways should be made full use to provide authoritative information to HCWs; correct information should be ensure to transmit to the leaders and members of medical professional associations to mobilize them to participate in vaccination.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn summary, our study found that the HCWs in Beijing have a little more above moderate willingness to get the future COVID-19 vaccination before the completion of phase III vaccineclinical trials, and the willingness were strongly associated with the perception of whether the vaccine is free and safe. It suggested that free vaccination strategy should be considered to be implemented, hard work and effective measures should be taken immediately to remove barriers and convey correct information through appropriate ways to further enhance the awareness and improve acceptance of COVID-19 vaccination among HCWs in China.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe method of this study was performed in accordance with the Declaration of Helsinki. Ethical approval was sought and granted from the Institutional Review Board and Human Research Ethics Committee of the Beijing Center for Disease Prevention and Control (Ethical approval No. 2020 (25)). The research was carried out in strict accordance with the research plan approved by the ethics committee. We obtained subjects\u0026rsquo; informed consent before the start of the interviews.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWritten informed consent for publication was obtained from all participants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors report no potential conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo outside funding was used to support this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe authors contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSLD participated in the conceptualization, data curation, formal analysis,\u0026nbsp; methodology, project administration, writing - original draft; MR, LL, PXH contributed to the conceptualization, resources, data curation, formal analysis, methodology, writing-review\u0026amp;editing. WZZ, TT, WHH, LF, TJF, PXH, GX were involved in data curation and writing-review\u0026amp;editing. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank the staff members in the district Centres for Disease Prevention and Control and hospitals in Beijing for conducting field investigation. We also thank all HCWs involved in the study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eUddin M, Mustafa F, Rizvi TA, Loney T, Suwaidi HA, Al-Marzouqi AHH, et al. SARS-CoV-2/COVID-19: Viral Genomics, Epidemiology, Vaccines, and Therapeutic Interventions. Viruses 2020; 12(5):526. Https://doi: 10.3390/v12050526\u0026nbsp; PMID: 32397688\u003c/li\u003e\n\u003cli\u003eGuan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med 2020; 382(18):1708-1720. Https://doi:10.1056/NEJMoa2002032 PMID: 32109013\u003c/li\u003e\n\u003cli\u003eBurke RM , Killerby ME, Newton S, Ashworth CE, Berns AL, Brennan S, et al. Symptom Profiles of a Convenience Sample of Patients with COVID-19 - United States, January-April 2020. Morb Mortal Wkly Rep 2020; 69(28):904-908. Https://doi:10.15585/mmwr.mm6928a2 PMID: 32673296\u003c/li\u003e\n\u003cli\u003eWorld Health Organization, WHO. WHO Director-General\u0026rsquo;s Opening Remarks at the Media Briefing on COVID-19-31 August 2020. Available: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---31-august-2020 (accessed on 1 September 2020).\u003c/li\u003e\n\u003cli\u003eJohn Hopkins University of Medicine. Coronavirus Resource Center John Hopkins University of Medicine. 2020. Available: https://coronavirus.jhu.edu/map.html (accessed on 1 September 2020).\u003c/li\u003e\n\u003cli\u003eWu SC. Progress and Concept for COVID-19 Vaccine Development. Biotechnol J 2020; 2000147. Https://doi: 10.1002/biot.202000147 PMID: 32304139\u003c/li\u003e\n\u003cli\u003eThe COCONEL Group. A future vaccination campaign against COVID-19 at risk of vaccine hesitancy and politicisation. Lancet Infect Dis 2020; 20(7): 769\u0026ndash; Https://doi: 10.1016/S1473-3099(20)30426-6\u0026nbsp; PMID: 32445713\u003c/li\u003e\n\u003cli\u003eLurie N, Saville M, Hatchett R, Halton J. Developing Covid-19 Vaccines at Pandemic Speed. N Engl J Med 2020; 382(21):1969-1973. Https://doi: 10.1056/NEJMp2005630 PMID: 32227757\u003c/li\u003e\n\u003cli\u003eHaq EU, Yu J, Guo J. Frontiers in the COVID-19 vaccines development. Exp Hematol Oncol 2020; 9: 24. Https://doi: 10.1186/s40164-020-00180-4 PMID: 32901214\u003c/li\u003e\n\u003cli\u003eZhu F, Guan X, Li Y, Huang JY, Jiang T, Hou LH, et al. Immunogenicity and safety of a recombinant adenovirus type-5-vectored COVID-19 vaccine in healthy adults aged 18 years or older: a randomised, double-blind, placebo-controlled, phase 2 trial. Lancet 2020; 396(10249):479-488. Https://doi: 10.1016/S0140-6736(20)31605-6. PMID: 32702299\u003c/li\u003e\n\u003cli\u003eXia S, Duan K, Zhang Y, Zhao D, Zhang H, Xie Z, et al. Effect of an Inactivated Vaccine Against SARS-CoV-2 on Safety and Immunogenicity Outcomes: Interim Analysis of 2 Randomized Clinical Trials. JAMA 2020; 324(10):951-960. Https://doi:10.1001/jama.2020.15543 PMID: 32789505\u003c/li\u003e\n\u003cli\u003eAguilar-D\u0026iacute;az Fdel C, Jim\u0026eacute;nez-Corona ME, Ponce-de-Le\u0026oacute;n-Rosales S. Influenza vaccine and healthcare workers. Arch Med Res 2011; 42(8):652-7. Https://doi: 10.1016/j.arcmed.2011.12.006 PMID: 22227045\u003c/li\u003e\n\u003cli\u003eLi Z, Chen Q, Feng L, Rodewald L, Xia Y, Yu H, et al. Active case finding with case management: the key to tackling the COVID-19 pandemic. Lancet 2020; 396(10243):63-70. Https://doi: 10.1016/S0140-6736(20)31278-2. PMID: 32505220\u003c/li\u003e\n\u003cli\u003eEpidemiology Working Group for NCIP Epidemic Response. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Chinese Journal of Epidemiology 2020; 41(2): 145-151. (in Chinese) Https://doi: 10.3760/cma.j.issn.0254-6450.2020.02.003 PMID: 32064853\u003c/li\u003e\n\u003cli\u003eLiu XH, Lu SH, Chen J, Xia L, Yang Z, Charles S, et al. Clinical characteristics of foreign-imported COVID-19 cases in Shanghai, China. Emerg Microbes Infect 2020; 9(1):1230-1232. Https://doi: 10.1080/22221751.2020.1766383 PMID: 32515651\u003c/li\u003e\n\u003cli\u003eWu Z, Wang Q, Zhao J, Yang P, McGoogan JM, Feng Z, et al. Time Course of a Second Outbreak of COVID-19 in Beijing, China, June-July 2020. JAMA. 2020 Aug 24. Https://doi: 0.1001/jama.2020.15894. PMID: 32852518\u003c/li\u003e\n\u003cli\u003ePang X, Zhu Z, Xu F, Guo J, Gong X, Liu D, et al. Evaluation of control measures implemented in the severe acute respiratory syndrome outbreak in Beijing, 2003. JAMA 2003; 290:3215\u0026ndash;3221. Https://doi: 10.1001/jama.290.24.3215\u0026nbsp; PMID: 14693874\u003c/li\u003e\n\u003cli\u003eBlasi F, Aliberti S, Mantero M, Centanni S. Compliance with anti-H1N1 vaccine among healthcare workers and general population. Clin Microbiol Infect 2012;18 Suppl 5:37-41. Https://doi: 10.1111/j.1469-0691.2012.03941.x\u0026nbsp; PMID: 22862684\u003c/li\u003e\n\u003cli\u003eSeale H, Kaur R, Wang Q,Yang P, Zhang Y, Wang X, et al. Acceptance of a vaccine against pandemic influenza A (H1N1) virus amongst healthcare workers in Beijing, China. Vaccine 2011; 29(8):1605-10. Https://doi: 10.1016/j.vaccine.2010.12.077\u0026nbsp; PMID: 21211593\u003c/li\u003e\n\u003c/ol\u003e\n\u003col start=\"20\"\u003e\n\u003cli\u003ePrematunge C, Corace K, McCarthy A, Nair RC, Pugsley R, Garber G, et al. Factors influencing pandemic influenza vaccination of healthcare workers--a systematic review. Vaccine 2012; 30(32):4733-43. Https://doi: 10.1016/j.vaccine.2012.05.018\u0026nbsp; PMID: 22643216\u003c/li\u003e\n\u003cli\u003eGao L, Feng L, Yu H. Analysis on KAP level and vaccination intention of population during influenza A (H1N1) pandemic. Journal of Environmental Hygiene 2011; 3:43-64.(in Chinese) Https://doi: 10.13421/j.cnki.hjwsxzz.2011.03.010\u003c/li\u003e\n\u003cli\u003ePang X, Liu D, Lu L, Wang X, Yang Z, Zhang Z, et al. Factors associated with immunization of novel influenza A (H1N1) vaccine in Beijing, 2009. Chinese Journal of Epidemiology 2010; 31(5):588-90. (in Chinese) Https://doi: 10.3760/cma.j.issn.0254-6450.2010.05.029\u0026nbsp; PMID: 22993765\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\n\u003cp\u003e\u003cstrong\u003eTable 1\u0026nbsp;\u0026nbsp; Characteristics of the respondents\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u003cstrong\u003eNo.of HCWs,n=8040 (%)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eAge group (years)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;18\u0026ndash;30\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2452(30.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;31\u0026ndash;40\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e3141(39.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;41\u0026ndash;50\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e1679(20.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;51\u0026ndash;60\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e705(8.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;60-\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e63(0.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eGender\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Male\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e1578(19.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Female\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e6462(80.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"500\"\u003e\n\u003cp\u003eOccupational cohort (three largest categories)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Doctors\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2836(35.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Nurses\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e3844(47.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Technicians\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e1360(16.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eWard type\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Fever screening clinic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e384(4.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Respiratory department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e555(6.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Emergency department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e703(8.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Intensive Care Unit\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e528(6.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Medical imaging department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e258(3.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Laboratory department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e332(4.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Other\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e5280(65.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eHospital level\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Level I\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2328(29.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Level II\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2391(29.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Level III\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e3321(41.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eHighest level of education\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Junior college or below\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2653(33.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Undergraduate degree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e4242(52.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Master degree candidate\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e975(12.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Doctoral candidate\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e170(2.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eProfessional ranks and titles\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Junior\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e833(10.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Intermediate\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2909(36.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Senior\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e3713(46.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;No title\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e585(7.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eUnderlying disease\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e887(11.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp;No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e7153(89.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eParticipated in the prevention and control of epidemic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e5656(70.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003eReceived other vaccines in the past 3 years\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e2822(35.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"317\"\u003e\n\u003cp\u003e\u0026nbsp; Seasonal influenza vaccine\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"183\"\u003e\n\u003cp\u003e1968(24.5)\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=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"461\"\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2 Perception to COVID-19 epidemic by HCW category\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"236\"\u003e\n\u003cp\u003eQuestions\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eTotal,n=8040(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e\u0026nbsp;Doctors, n=2836(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;Nurses, n=3844(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;Technicians, n=1360(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003eP value*\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"461\"\u003e\n\u003cp\u003eQ1 Is it serious suffering from Sars-cov-2 infection?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Not serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e33(0.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e14(0.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e10(0.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e9(0.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Little serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e307(3.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e176(6.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e95(2.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e36(2.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e7700(95.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e2646(93.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e3739(97.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e1315(96.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" width=\"351\"\u003e\n\u003cp\u003eQ2 Are you likely to be infected with Sars-cov-2?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unlikely\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2135(26.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e612(21.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1000(26.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e523(38.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Likely\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e4382(54.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1646(58.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2094(54.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e642(47.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Very likely\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e1523(18.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e578(20.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e750(19.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e195(14.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" width=\"563\"\u003e\n\u003cp\u003eQ3 Are you at greater risk of Sars-cov-2 infection than other people?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e4627(57.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1815(64.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2277(59.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e535(39.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e1353(16.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e480(16.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e542(14.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e331(24.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2060(25.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e541(19.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1025(26.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e494(36.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"7\" width=\"799\"\u003e\n\u003cp\u003eQ4 If you got a Sars-cov-2 infection, do you think you will suffer from more serious symptoms than others?\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e1247(15.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e420(14.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e643(16.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e184(13.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e0.004\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2034(25.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e759(26.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e912(23.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e363(26.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e59.2(59.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1657(58.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2289(59.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e813(59.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"461\"\u003e\n\u003cp\u003eQ5 Do you think China's COVID-19 epidemic will come back?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e1850(23.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e788(27.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e850(22.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e212(15.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2144(26.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e726(25.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e951(24.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e467(34.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e4046(50.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1322(46.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2043(53.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e681(50.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" width=\"563\"\u003e\n\u003cp\u003eQ6 Do you think the global COVID-19 epidemic will last for a long time?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e3996(49.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1679(59.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1738(45.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e579(42.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e1141(14.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e378(13.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e539(14.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e224(16.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2903(36.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e779(27.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1567(40.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e557(41.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"461\"\u003e\n\u003cp\u003eQ7 Do you think COVID-19 can be prevented by vaccination?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e5439(67.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1976(69.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2556(66.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e907(66.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e450(5.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e181(6.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e208(5.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e61(4.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2151(26.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e679(23.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1080(28.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e392(28.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" width=\"351\"\u003e\n\u003cp\u003eQ8 Do you think the COVID-19 vaccine is safe?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e4929(61.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1727(60.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2363(61.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e839(61.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e0.902\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e101(1.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e34(1.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e47(1.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e20(1.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e3010(37.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1075(37.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1434(37.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e501(36.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"461\"\u003e\n\u003cp\u003eQ9 Do you think the COVID-19 vaccine is effective?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Agree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e5024(62.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1761(62.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2401(62.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e862(63.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e0.213\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Disagree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e48(0.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e24(0.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e20(0.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e4(0.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e2968(36.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1051(37.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1423(37.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e494(36.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" width=\"563\"\u003e\n\u003cp\u003eQ10 How disturbed have you been in your work and life in the past 3 months?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Not serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e253(3.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e62(2.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e137(3.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e54(4.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Little serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e1921(23.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e588(20.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1003(26.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e330(24.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e5866(73.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e2186(77.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e2704(70.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e976(71.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"7\" width=\"799\"\u003e\n\u003cp\u003eQ11 In the next period of time (6 months), how much do you expect the work and life to be disturbed by the epidemic?\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Not serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e792(9.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e269(9.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e377(9.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e146(10.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e0.638\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Little serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e3746(46.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1308(46.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1802(46.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e636(46.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e\u0026nbsp; Serious\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e3502(43.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e1259(44.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e1665(43.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e578(42.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e \u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"215\"\u003e\n\u003cp\u003e* \u003cem\u003e\u0026chi;\u003csup\u003e 2\u003c/sup\u003e\u003c/em\u003e test.\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"136\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"111\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"101\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"141\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u0026nbsp;\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\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u0026nbsp;\u0026nbsp; Attitudes to COVID-19 vaccine by HCW category\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003eQuestions\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003eTotal,n=8040(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;Doctors, n=2836(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;Nurses, n=3844(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;Technicians, n=(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003eP value*\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"449\"\u003e\n\u003cp\u003eQ1 Do you trust the propaganda of the official media?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Believe\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e6462(80.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e2385(84.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e2983(77.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e1094(80.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Disbelieve\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e319(4.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e99(3.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e171(4.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e49(3.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e1259(15.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e352(12.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e690(18.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e217(16.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003eQ2 Do you trust professional staff' advices?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Believe\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e7563(94.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e2663(93.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e3634(94.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e1266(93.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e0.266\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Disbelieve\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e31(0.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e13(0.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e14(0.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e4(0.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e446(5.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e160(5.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e196(5.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e90(6.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"622\"\u003e\n\u003cp\u003eQ3 If COVID-19 vaccine is approved for licenses, do you want it free of charge?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e6221(77.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e2125(74.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e3043(79.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e1053(77.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e293(3.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e127(4.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e115(3.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e51(3.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Either is OK\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e1526(19.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e584(20.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e686(17.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e256(18.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"6\" width=\"815\"\u003e\n\u003cp\u003eQ4 Do you believe that COVID-19 vaccine approved for license has been fully evaluated in clinical trials?\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Believe\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e6431(80.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e2220(78.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e3118(81.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e1093(80.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Disbelieve\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e144(1.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e75(2.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e49(1.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e20(1.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e1465(18.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e541(19.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e677(17.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e247(18.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"449\"\u003e\n\u003cp\u003eQ5 Will you go to get COVID-19 vaccination in the future?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e5395(67.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e1849(65.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e2636(68.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e910(66.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e632(7.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e269(9.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e251(6.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e112(8.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e2013(25.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e718(25.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e957(24.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e338(24.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"449\"\u003e\n\u003cp\u003eQ6 \u003csup\u003ea\u003c/sup\u003eWhere would you like to get COVID-19 vaccination?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Community vaccination clinic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e1331(24.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e478(25.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e570(21.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e283(31.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Vaccination campaign organized by hospital\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e4064(75.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e1371(74.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e2066(78.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e627(68.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" width=\"532\"\u003e\n\u003cp\u003eQ7 Will you advise your family members to get COVID-19 vaccination?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e5486(68.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e1857(65.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e2682(69.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e947(69.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e514(6.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e213(7.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e214(5.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e87(6.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e2040(25.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e766(27.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e948(24.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e326(24.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"449\"\u003e\n\u003cp\u003eQ8 \u003csup\u003eb\u003c/sup\u003eWill you take your children to get COVID-19 vaccination??\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e2643(61.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e995(59.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e1221(62.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e427(67.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e0.02\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e359(8.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e154(9.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e159(8.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e46(7.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Unsure\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e1267(29.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e523(31.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e580(29.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e164(25.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"622\"\u003e\n\u003cp\u003eQ9 Who do you trust most offering COVID-19 vaccine information(multiple choice)?\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Official media\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e6862(85.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e2379(83.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e3346(87.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e1137(83.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Medical specialist\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e7134(88.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e2427(85.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e3511(91.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e1196(87.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Relatives and friends\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e317(3.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e76(2.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e155(4.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e86(6.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Colleagues\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e415(5.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e96(3.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e243(6.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e76(5.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Medical literature\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e4786(59.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e1844(65.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e2282(59.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e660(48.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e\u0026nbsp; Online media\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e492(6.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e105(3.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e264(6.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e123(9.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"449\"\u003e\n\u003cp\u003e\u003csup\u003ea\u003c/sup\u003eOnly for those who are willing to be vaccinated\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"449\"\u003e\n\u003cp\u003e\u003csup\u003eb\u003c/sup\u003eOnly for parents with children under 18 years old\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"319\"\u003e\n\u003cp\u003e* \u003cem\u003e\u0026chi;\u003csup\u003e 2\u003c/sup\u003e\u003c/em\u003e test.\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"131\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"83\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"90\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"100\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"93\"\u003e\n\u003cp\u003e\u0026nbsp;\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\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u0026nbsp; Univariate association of variables affecting the intention to accept COVID-19 vaccination of HCWs in Beijing, China\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" width=\"265\"\u003e\n\u003cp\u003eVariables\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"3\" width=\"361\"\u003e\n\u003cp\u003eIntention to accept vaccination\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd rowspan=\"2\" width=\"76\"\u003e\n\u003cp\u003eP value*\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003eYes,n=5395(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003eNo,n=632(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003eUnsure=2013,n(%)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eGender\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Male\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1077(68.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e144(9.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e357(22.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.011\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Female\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e4318(66.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e488(7.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1656(25.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eAge group (years)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;18\u0026ndash;30\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1733(70.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e140(5.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e579(23.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;31\u0026ndash;40\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e2096(66.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e241(7.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e804(25.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;41\u0026ndash;50\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1050(62.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e178(10.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e451(26.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;51\u0026ndash;60\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e466(66.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e71(10.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e168(23.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;60-\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e50(67.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e2(3.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e11(17.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eOccupational cohort (three largest categories)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Doctors\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1849(65.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e269(9.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e718(25.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Nurses\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e2636(68.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e251(6.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e957(24.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Technicians and others\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e910(66.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e112(8.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e338(24.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eWard type\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Fever screening clinic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e234(60.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e42(10.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e108(28.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Respiratory department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e399(71.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e37(6.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e119(21.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Emergency department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e507(72.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e50(7.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e146(20.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Intensive Care Unit\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e364(68.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e37(7.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e127(24.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Medical imaging department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e167(64.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e20(7.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e71(27.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Laboratory department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e176(53.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e45(13.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e111(33.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Other\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e3548(67.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e401(7.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1331(25.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eHospital level\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Level I\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e2160(65.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e301(9.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e860(25.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Level II\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1675(70.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e153(6.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e563(23.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Level III\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1560(67.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e178(7.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e590(25.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eHighest academic degree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Junior college or below\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1903(71.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e158(6.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e592(22.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Undergraduate degree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e2784(65.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e347(8.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1111(26.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Master degree candidate\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e609(62.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e105(10.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e261(26.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Doctoral candidate\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e99(58.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e22(12.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e49(28.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eProfessional ranks and titles\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Junior\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e2618(70.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e236(6.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e859(23.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Intermediate\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1832(63.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e263(9.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e814(28.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Senior\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e519(62.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e96(11.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e218(26.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;No title\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e426(72.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e37(6.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e122(20.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eUnderlying disease\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e533(60.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e85(9.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e269(30.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e4862(68.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e547(7.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1744(24.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" width=\"382\"\u003e\n\u003cp\u003eParticipated in the prevention and control of epidemic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e3849(68.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e435(7.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1372(24.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.019\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1546(64.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e197(8.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e641(26.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003eReceived other vaccines in the past 3 years\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e2098(74.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e137(4.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e587(20.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e3297(63.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e495(9.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1426(27.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp; Seasonal influenza vaccine\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp; Yes\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e1509(76.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e89(4.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e370(18.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"265\"\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp; No\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"117\"\u003e\n\u003cp\u003e3886(64.0)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e543(8.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"140\"\u003e\n\u003cp\u003e1643(27.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5\u0026nbsp; Multiple logistic regression model for intention to accept COVID-19 vaccination of HCWs in Beijing, China\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" width=\"316\"\u003e\n\u003cp\u003eVariables\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"265\"\u003e\n\u003cp\u003eUnivariate logistic regression model\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"254\"\u003e\n\u003cp\u003eMultiple logistic regression model\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003eOdds Ratio(95%CI)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003eP value\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003eAdjusted Odds Ratio(95%CI)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003eP value\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eMale gender\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;1.067（0.949-1.201）\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.279\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eAge group\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Years\u0026le;40\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.819(0.741-0.905)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Years\u0026gt;40\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.221(1.105-1.350)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eOccupational cohort (three largest categories)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Doctors\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.876(0.795-0.965)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.007\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Nurses\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.137(1.035-1.248)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.007\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Technicians and others\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.990(0.874-1.120)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.87\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eWard type\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;COVID-19 related department\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.988(0.895-1.089)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.802\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Other\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.013(0.918-1.117)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.802\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eHospital level\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Level I\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.994(0.897-1.102)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.911\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Level II\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.213(1.094-1.345)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.303(1.118-1.520)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Level III\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.853(0.777-0.938)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.237(1.072-1.427)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e0.004\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eHigher academic degree\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.804(0.754-0.858)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e0.840(0.772-0.914)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eHigher income\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.852(0.790-0.919)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eProfessional ranks and titles\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.934(0.887-0.983)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.009\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e0.930(0.865-1.000)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e0.049\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eUnderlying disease\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.709(0.615-0.819)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eParticipated in the prevention and control of epidemic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e0.866(0.783-0.958)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.005\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eReceived other vaccines in the past 3 years\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.688(1.525-1.869)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp; Seasonal influenza vaccine\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.849(1.645-2.079)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003ePerception to COVID-19 epidemic\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q1 Answer: \"Serious\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.753(1.409-2.182)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.368(1.030-1.817)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e0.031\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q2 Answer: \"Likely or Very likely\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.123(1.012-1.247)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.029\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q3 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.205(1.097-1.324)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q4 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.157(1.015-1.318)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.029\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q5 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.129(1.009-1.262)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.034\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.346(1.150-1.576)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q6 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.319(1.202-1.448)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.208(1.062-1.373)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e0.004\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q7 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e4.404(3.983-4.869)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.747(1.521-2.007)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q8 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e5.598(5.061-6.193)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.915(1.617-2.268)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q9 Answer: \"Agree\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e5.289(4.784-5.848)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.409(1.184-1.677)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q10 Answer: \"Serious\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.110(1.000-1.231)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.049\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q11 Answer: \"Serious\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e1.074(0.978-1.180)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.137\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003eAttitudes to COVID-19 vaccine\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q1 Answer: \"Believe\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e2.898(2.589-3.244)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e1.268(1.089-1.478)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e0.002\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q2 Answer: \"Believe\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e6.326(5.134-7.795)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q3 Answer: \"Yes\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e8.124(7.230-9.129)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e5.807(5.083-6.635)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"316\"\u003e\n\u003cp\u003e\u0026nbsp;Q4 Answer: \"Believe\"\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"171\"\u003e\n\u003cp\u003e9.594(8.463-10.877)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"181\"\u003e\n\u003cp\u003e4.485(3.849-5.227)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"73\"\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\u003eFor the dependent variable \"accept covid-19 vacciation\", answer \u0026ldquo;Yes\u0026rdquo; is assigned as 1, answer \u0026ldquo;No\u0026rdquo; or \u0026ldquo;Unsure\u0026rdquo; is assigned as 0; if the independent variable is an ordered classification variable, it is set as dumb variables. All variables significant at p\u0026lt;0.1 in univariate logistic regression could be selected in the final multivariable stepwise logistic regression analysis.\u0026nbsp;\u003c/p\u003e"}],"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, SARS-CoV-2, Vaccine, KAP, HCWs","lastPublishedDoi":"10.21203/rs.3.rs-110888/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-110888/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eCovid-19 vaccine research and development is progressing and expected to be put into use in a predictable time, we aimed to learn the awareness and acceptance of the new vaccine by healthcare workers (HCWs) in Beijing, China. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e A cross-sectional survey was conducted to investigate HCWs including doctors, nurses and technicians from sixty hospitals in Beijing to obtain the perception of COVID-19 epidemic and the attitudes towards vaccination before before the completion of vaccine phase III clinical trials. Multivariate analysis was applied to evaluate the associated factors with intention to get vaccination.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e A total of 8040 HCWs was recruited. 67.1% reported they would get vaccination, others said unsure or would not. Half of the HCWs were unsure whether the outbreak in China would come back and the global epidemic would last for a long time. 67.6% agreed the epidemic can be prevented by vaccination. Positive associated factors with willingness to get vaccination were mainly included epidemic situation prognosis, perception of disease severity, self infection risk and disease can be prevented by vaccine, etc. Two positive factors of “wanted the vaccine free of charge” (OR:5.807, 95%CI:5.083-6.635, P\u0026lt;0.001) and “believed vaccine approved for license have been fully evaluated in clinical trials” (OR:4.485, 95%CI:3.849-5.227, P\u0026lt;0.001) were strongly associated with willingness to get vaccination, while two factors of “highest academic degree” (OR:0.840, 95%CI:0.772-0.914, P\u0026lt;0.001) and “professional ranks and titles” (OR:0.930, 95%CI:0.865-1.000, P=0.049) were negative associated .\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions: \u003c/strong\u003eA little above moderate willingness to get COVID-19 vaccination was found among\u003cstrong\u003e \u003c/strong\u003eHCWs in Beijing before the vaccine being licensed. Free vaccination strategy should be considered to implement, effective measures should be taken to remove barriers and convey correct information through appropriate ways to enhance the acceptance of COVID-19 vaccination among HCWs in China.\u0026nbsp;\u003c/p\u003e","manuscriptTitle":"Perception to COVID-19 epidemic and acceptance of vaccination among healthcare workers in Beijing: a survey before the completion of COVID-19 vaccine phase III clinical trials","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-12-18 21:02:37","doi":"10.21203/rs.3.rs-110888/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":"92afb4d3-157a-4b77-9da9-88d96d62b2f5","owner":[],"postedDate":"December 18th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":1531902,"name":"Infectious Diseases"},{"id":1531903,"name":"Vaccine Development"}],"tags":[],"updatedAt":"2021-02-24T03:44:08+00:00","versionOfRecord":[],"versionCreatedAt":"2020-12-18 21:02:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-110888","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-110888","identity":"rs-110888","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}