Willingness of The COVID-19 Vaccine Uptake: A Cross-Sectional Study of Community Residents in China

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Vaccination for COVID-19 is one of the most important preventative measures to reduce the disease transmission. Our study aims to estimate residents’ willingness to accept COVID-19 vaccination and its influencing factors in the general adult population in Chinese community. Methods 3000 questionnaires were posted from December,2020 to January,2021 to residents in Kaifeng with 89.60% response rate. Results of the 2688 respondents on their willingness to accept the COVID-19 vaccine were analyzed. Results 89.06% of respondents were willing to accept a COVID-19 vaccine if vaccines were available. People who were 46–59 years old (OR = 0.311; 95% CI: 0.188–0.512), often live in the town (OR = 3.979; 95% CI: 2.473–6.402) and pay attention to the development of the COVID-19 vaccine (OR = 0.301; 95% CI: 0.203–0.447), and agreeing that the COVID-19 vaccine can prevent COVID-19 (OR = 0.106; 95% CI: 0.050–0.224) were significantly associated with their willingness to accept receive COVID-19 vaccination. Conclusion A high acceptance of COVID-19 vaccination had been shown among Chinese residents although it was not during the pandemic period, while concerns about vaccine safety and effectiveness might hinder the promotion of vaccine uptake. Health Economics & Outcomes Research Infectious Diseases Health Policy community residents the COVID-19 vaccine willingness influencing factors 1 Background Around March 2020, the outbreak of COVID-19 caused by a new type of SARS-CoV-2 has spread all over the world, reaching the level of pandemic [ 1 , 2 ]. Global attention was soon focused on the situation because of the increasing number of new cases and the high rate of death associated with the infections [ 3 ]. Since COVID-19 has caused huge casualties and serious economic losses, posing a threat to the world, it is urgent to understand the current situation and formulate strategies to curb the spread of the virus [ 4 ]. However, there are currently no specific antiviral treatments for COVID-19 [ 5 ], so immunization is one of the most successful and cost-effective health interventions to prevent infectious diseases. WHO has recommended several candidate vaccine viruses for the development of COVID-19 vaccines for the purpose of pandemic preparedness [ 5 ]. In December 2020, Polack's study showed that the BNT162b2 mRNA COVID-19 vaccine conferred 95% protection against COVID-19 in persons 16 years of age or older [ 6 ]. Therefore, vaccination is a critical part of COVID-19 pandemic preparedness [ 7 ]. Although the development of vaccine has made great progress, there are still important challenges regarding future immunization against COVID-19. For example, As of January 10, 2021, the Daily Mail and other media reported that there were two deaths of doctors vaccinated with the Pfizer COVID-19 vaccine in the United States; on January 14, 2021, the Norwegian drug administration said that 23 people in Norway who were vaccinated by Pfizer and BioNTech died. It has deepened the public's doubts and trust in the safety and effectiveness of the vaccine. Understanding residents' willingness to accept the COVID-19 vaccine and its main related factors may enable policy makers to take measures for vaccination coverage improvement. Five surveys had been conducted in China [ 8 , 9 , 10 , 11 , 12 ], four of them were in the research and development stage of the COVID-19 vaccine, while the other one focused on young adults preference for COVID-19 vaccines. The epidemic situation in China has been basically controlled and the developed vaccine is on the market now. Under the current situation, what are the willingness of Chinese community residents to be vaccinated with COVID-19 and its influencing factors? At present, there is a lack of research. In this study, a questionnaire survey was conducted among 3000 residents in Kaifeng City to evaluate the willingness of community residents to receive COVID-19 vaccination, and to determine the related possible factors. 2 Methods 2.1 Research objects In this study, residents were recruited by a multistage sampling approach [ 13 ]. Initially, two urban districts were randomly selected to be sampled. From each selected district, three towns or streets were randomly selected. And then two communities were randomly selected in each of these towns or streets. In total, 12 communities were confirmed as the survey locations. To meet the sample size requirement (3000 questionnaires), 250 families were randomly selected from each community, and each family was responsible for a questionnaire. We had gotten rid of people under the age of 18. 2.2 Research questionnaire The survey was carried out using an anonymous questionnaire, which consisted of four sections: (1) Demographics information (gender, age, permanent residence, marital status, educational level, occupation, religious belief, per capita monthly income of family, a chronic underlying disease and medical insurance); (2) Residents’ perceptions regarding COVID-19 listed as follows: ‘severity of COVID-19’; ‘worrying about infection with COVID-19’; ‘possibility of suffering from COVID-19’. (3) Residents' views on vaccines listed as follows: ‘the safety and effective of vaccines approved by the states’;‘you ever heard of the COVID-19 vaccine’༛‘Do you often focus on the development of the COVID-19 vaccine’༛‘the COVID-19 vaccine can prevent COVID-19’. (4) Residents’ willingness to accept a future COVID-19 vaccine if it is available with the response options of ‘yes’ and ‘no’, meanwhile, the questionnaire also contains the reasons why the participants were willing or unwilling to be vaccinated and other related issues. All the questions were based on evidence in the existing literature. 2.3 Data collection We conducted the survey from December,2020 to January,2021, and we had contacted general managers of the twelve communities to obtain approval to send questionnaires to their residents. Within each survey location, all the households were randomly numbered according to the address numbers. Then we use random number table method to select 250 families in each community, and an adult in each family is responsible for a questionnaire. 3000 anonymous questionnaires were posted to general managers of communities who then passed these questionnaires to the community residents, which will be mailed to us after filling in. All questionnaires were received within a 2-week period. 2.4 Statistical analysis Descriptive results were cross-tabulated. χ 2 test was used to examine demographic characteristics between community residents who were willing to accept COVID-19 vaccination against those who were not willing to accept it. We conducted univariate analyses to identify apparent associations between perceptions regarding COVID-19 factors, perceptions regarding vaccines and the willingness to take a future COVID-19 vaccine. Logistic regression models were then performed to examine the factors associated with residents’ willingness to accept a future COVID-19 vaccine. The level of statistical significance was set at a p-value of < 0.001. 3 Results 3.1 Demographic characteristics of participants According to Table 1 , 56.25% participants were female and 77.23% participants lived in the town. Among the respondents, 69.64% were 18–45 years old; 55.80% had married; 76.23% ever had COVID-19 around them. The distribution of educational level was as follows: Primary school or below: 6.69% (n = 180), Junior middle school: 16.41% (n = 441), High school or technical secondary: 14.17% (n = 381), University: 47.32% (n = 1272) and Graduate or above: 14.51% (n = 390). The per capita monthly income (RMB) of families ≤ 2000, 2000–4000, 4000–6000 and ≥ 6000 accounted for 19.98%, 38.95%, 28.57% and 12.50% respectively. Table 1 Demographic characteristics on residents’ willingness to receive COVID-19 vaccination Total Number Number of residents accepting Number of residents declining χ 2 p Gender(n = 2688) 1.364 0.243 Male 1176(43.75%) 1038(88.27%) 138(11.73%) Female 1512(56.25%) 1356(89.68%) 156(10.32%) Age (n = 2688) 65.599 <0.001 18–45 years 1872(69.64%) 1683(89.90%) 189(10.10%) 46–59 years 495(18.42%) 465(93.94%) 30(6.06%) ≥ 60 years 318(11.83%) 243(76.42%) 75(23.58%) Permanent residence (n = 2688) 25.015 <0.001 Town 2076(77.23%) 1815(87.43%) 261(12.57%) Village 612(22.77%) 579(94.61%) 33(5.39%) Marital status (n = 2688) 0.090 0.764 Married 1569(58.37%) 1395(88.91%) 174(11.09%) Unmarried 1119(41.63%) 999(89.28%) 120(10.72%) Educational level (n = 2688) 41.489 <0.001 Primary school or below 204(7.59%) 156(76.47%) 48(23.53%) Junior middle school 441(16.41%) 399(90.48%) 42(9.52%) High school or technical secondary 381(14.17%) 354(92.91%) 27(7.09%) University 1227(45.65%) 1143(93.15%) 129(10.51%) Graduate or above 390(14.51%) 342(87.69%) 48(12.31%) Occupation (n = 2688) 0.340 0.560 Medical staff 528(19.64%) 474(89.77%) 54(10.23%) Non-medical staff 2160(80.36%) 1920(88.89%) 240(11.11%) Religious belief(n = 2688) 0.209 0.647 Yes 228(8.48%) 201(88.16%) 27(11.84%) No 2460(91.52%) 2193(89.15%) 267(10.85%) Per capita monthly income of family (RMB) (n = 2688) 10.551 0.014 ≤ 2000 537(19.98%) 486(90.50%) 51(9.50%0 2000–4000 1047(38.95%) 915(87.39%) 132(12.61%) 4000–6000 768(28.57%) 702(91.41%) 66(8.59%) ≥ 6000 336(12.50%) 291(86.61%) 45(13.39%) A chronic underlying disease(n = 2688) 7.635 0.006 Yes 240(8.93%) 201(83.75%) 39(16.25%) No 2448(91.07%) 2193(89.58%) 255(10.42%) Medical insurance (n = 2688) 1.261 0.261 Yes 2460(91.52%) 732(89.27%) 88(10.73%) No 228(8.48%) 198(86.84%) 30(13.16%) 3.2 The situation of willingness vaccination and related factors 86.80% of participants would like to accept the COVID-19 vaccine when it is available. The main reasons were that they worried about being infected in the future (78.95%) and spreading the infection to people around them (71.55%). Meanwhile, only 13.20% participants do not want to receive the COVID-19 vaccine. The main reasons why they don't plan to get vaccinated with vaccines were that not believing the safety (68.37%) and effectiveness (40.82%) of vaccines and thought vaccines had side effects (36.74%). See Table 2 for details. Table 2 Reasons for accepting or declining the COVID-19 vaccine Reasons for willingness to vaccinate(n = 2394) N (%) being infected in the future 1890(78.95%) spreading the infection to people around them 1713(71.55%) being quarantined after being infected 942(39.35%) believing the safety and effectiveness of vaccines 1632(68.17%) recommended by doctors 486(20.30%) recommended by family or friends 381(15.91%) The vast majority of people around are willing to vaccinate 570(23.81%) Reasons for unwillingness to vaccinate(n = 294) the safety of vaccines 201(68.37%) the effectiveness of vaccines 120(40.82%) be well 87(29.59%) side effects 108(36.74%) domestic epidemic had been basically controlled 75(25.51%) Other concerns (vaccination contraindication, no time andpoor physical activity) <30(<0.1) 3.3 Difference analysis of vaccination willingness The demographic characteristics of respondents who were willing to accept COVID-19 vaccination and with those who were not willing to accept it were compared by χ 2 test and were presented Table 1 . Residents who were willing to receive the COVID-19 vaccine were different from those who were not willing to receive the COVID-19 vaccine with respect to “age, permanent residence and educational level”. There were no statistically significant differences in other characteristics as analyzed by chi-square test. The relationship between demographic and other characteristics of the community residents and their willingness to accept vaccination were analyzed further using logistic regression (Table 3 ) . the variables that were significantly associated with a higher likelihood of reporting willingness to accept the COVID-19 vaccine were people who were 46–59 years old (OR = 0.311; 95% CI: 0.188–0.512) and often live in the town (OR = 3.979; 95% CI: 2.473–6.402), people who often pay attention to the development of the COVID-19 vaccine (OR = 0.301; 95% CI: 0.203–0.447) and agreeing that the COVID-19 vaccine can prevent COVID-19 (OR = 0.106; 95% CI: 0.050–0.224). Table 3 Logistic regression analysis for the factors associated with residents’ willingness of the COVID-19 vaccine uptake Variables B Odds ratio 95% CI p Age 18–45 years -0.431 0.650 0.411–1.028 0.066 46–59 years -1.168 0.311 0.188–0.516 <0.001 ≥ 60 years Reference Permanent residence Town 1.381 3.979 2.473–6.402 <0.001 Village Reference Educational level Primary school or below 0.830 2.294 1.196–4.397 0.012 Junior middle school 0.042 1.043 0.586–1.854 0.887 High school or technical secondary -0.436 0.647 0.364–1.150 0.138 University -0.088 0.916 0.630–1.333 0.647 Graduate or above Reference Severity of COVID-19 Serious -1.162 0.313 0.160–0.611 0.001 kind -0.492 0.612 0.281–1.333 0.216 Not serious Reference The safety and effective of vaccines approved by the states Yes -1.070 0.343 0.146–0.805 0.014 No Reference Do you often focus on the development of the COVID-19 vaccine Yes -1.199 0.301 0.203–0.447 <0.001 No Reference The COVID-19 vaccine can prevent COVID-19 Yes -2.242 0.106 0.050–0.224 <0.001 No Reference 4 Discussion In this cross-sectional study, residents showed that they had a high acceptance of COVID-19 vaccination, which was consistent with the survey results of Malik and Reiter [ 14 , 15 ]. The high acceptance of COVID-19 vaccination among the residents reflects the strong demand for the vaccine and the high awareness of the importance of the vaccine in controlling the epidemic. The reasons that affect the vaccination of residents are believing in the safety and effectiveness of the COVID-19 vaccine and worrying about being infected in the future and spreading the infection to people around you and being quarantined after being infected. It shows that the risk perception of residents was an important predictor for vaccination acceptance, as those who perceived a high risk of infection were more likely to get vaccinated as soon as possible. As the majority of respondents had the intention of getting vaccinated, it is meaningful to identify barriers or facilitators to their vaccination decision on whether to accept vaccination. Public concerns about vaccine safety are often reported as a major obstacle to vaccination decisions, especially for new vaccines. Our study confirmed the positive role of belief in safety and effectiveness of the COVID-19 vaccine and the constant attention to the development of the COVID-19 vaccine in accepting COVID-19 vaccination, which was consistent with previous studies [ 9 , 11 ]. Our study found that residents who often live in the town were more willing to vaccination than those who live in the village. It may be because of the high mobility of urban population, they seldom stay at home and travel more. These behaviors may lead to their higher perceived risk of being infected with COVID-19, and may eventually lead to higher acceptance of the vaccine. Our study also found that both medical staffs and non-medical staffs were willing to get the COVID-19 vaccine, Perhaps the severity of the epidemic, the high infectivity of the virus and the publicity of the role of the vaccine by the media are the driving factors for them to decide to vaccinate [ 16 ]. Inconsistent results were shown in previous studies from the Indonesia, Turkey or the United States concerning the impact of demographic characteristics on the acceptance of the COVID-19 vaccine [ 14 , 15 , 17 , 18 ], and we found that, among the residents, respondents aged 46 to 59 were more likely to accept vaccination, while respondents’ income or medical insurance may not influence their intention as shown in the results of logistic regression analysis. This shows that people aged 46 to 59 are strongly aware that vaccines provide not only personal protection, but also family protection. However, the income and medical insurance have nothing to do with the willingness to vaccination, which may be free of charge for the COVID-19 vaccination in China, and Chinese medical insurance has basically reached universal coverage. There are still a small proportion of residents who are not willing to accept a future COVID-19 vaccine. Similar to the finding of Polack [ 6 ], we showed that the main reason why residents don't want to be vaccinated with the COVID-19 vaccine was to worry about the side effects and the efficacy and safety of the new vaccine. At the same time, Dubé [ 19 ] found that the uncertainties about new vaccine would lower the vaccine confidence of the public; Henrich's research showed concerns about using new vaccines during a pandemic were to differ from those of established products in a non-crisis situation [ 20 ]. So we can infer that the actual coverage of COVID-19 vaccination would be lower than our estimate of 89.60% in residents’ willingness to accept COVID-19 vaccination. Research shows that the higher the coverage rate of vaccination, the higher the level of preventing the spread of the disease [ 18 ]. Therefore, to make sure the COVID-19 vaccine fully covered, the health departments and other sectors should strengthen the regular vaccination education of the vaccine to improve overall vaccine confidence and the compliance of the public. We conducted the investigation under the condition of stable epidemic situation in China, which can highlight the public's willingness to receive vaccination during the stable period. Meanwhile, we investigated the influencing factors of residents' vaccination willingness, the exploration of barriers and facilitators of vaccination was helpful for government to design effective immunization strategies to increase the vaccine uptake in the prevention and control of COVID-19. A limitation of our study is that we have only one center, but considering the diverse epidemic strength, income levels and healthcare access across regions, we should adopt multicenter research. And compared with the general population of China, our sample is younger and has limited universality. 5 Conclusion Our study reflected a high level of acceptance of COVID-19 vaccination among the community residents in China although it is not during the pandemic period. Concerns about vaccine safety and effectiveness by the public may hinder the promotion of vaccine uptake in the future. To expand vaccine uptake in response to prevent the spread of the disease, health education and communication from authoritative sources will be important to alleviate public concerns about vaccine safety. Abbreviations COVID-19 coronavirus disease 2019 Declarations Ethics approval and consent to participate This study was conducted according to the guidelines that were laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the Ethics Committee of Kaifeng CDC. In addition, those participants were informed about the purpose of the study, the importance of their participation, and their ability to withdraw at any time. Written consent was obtained prior to data collection. Consent for publication Individual respondent consent to participate in the study. Availability of data and material If you want data information, please contact our corresponding author. Competing interests The authors declare that they have no conflicts of interests. Funding: This work was supported by the following grants. Henan University Graduate Education Innovation and quality improvement project (Grant NO. SYL19060141), Henan Social Science Planning and decision consulting project (Grant NO. 2018JC38), Henan graduate education reform and quality improvement project (Grant NO. YJS2021AL074). Authors' contributions WX designed the study, drafted the manuscript. LG performed the data collection. JR analyzed the data. CC revised the manuscript. All authors have read and approved the final version of the manuscript. Acknowledgements The authors would like to thank all the participants of the study. Disclosure Ruiying Jia was the co-first author. References Lu H, Stratton C W, Tang Y W. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle[J].J Med Virol. 2020;92 (4): 401-402. Harapan H, Itoh N, Yufika A, et al. Coronavirus disease 2019 (COVID-19): A literature review[J].J Infect Public Health. 2020;13 (5): 667-673. Ahn D G, Shin H J, Kim M H, et al. Current Status of Epidemiology, Diagnosis, Therapeutics, and Vaccines for Novel Coronavirus Disease 2019 (COVID-19)[J].J Microbiol Biotechnol. 2020;30 (3): 313-324. Heymann D L, Shindo N. COVID-19: what is next for public health?[J].Lancet. 2020;395 (10224): 542-545. Wang J, Peng Y, Xu H, et al. The COVID-19 Vaccine Race: Challenges and Opportunities in Vaccine Formulation[J].AAPS PharmSciTech. 2020;21 (6): 225. Polack F P, Thomas S J, Kitchin N, et al. Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine[J].N Engl J Med. 2020;383 (27): 2603-2615. Graham B S. Rapid COVID-19 vaccine development[J].Science. 2020;368 (6494): 945-946. Wang K, Wong E L, Ho K F, et al. Change of Willingness to Accept COVID-19 Vaccine and Reasons of Vaccine Hesitancy of Working People at Different Waves of Local Epidemic in Hong Kong, China: Repeated Cross-Sectional Surveys[J].Vaccines (Basel). 2021; 9 (1). Zhou T, Nguyen T T, Zhong J, et al. A COVID-19 descriptive study of life after lockdown in Wuhan, China[J].R Soc Open Sci. 2020;7 (9): 200705 Dong D, Xu R H, Wong E L, et al. Public preference for COVID-19 vaccines in China: A discrete choice experiment[J].Health Expect. 2020;23 (6): 1543-1578. Lin Y, Hu Z, Zhao Q, et al. Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China[J].PLoS Negl Trop Dis. 2020;14 (12): e0008961. 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Harapan H, Wagner A L, Yufika A, et al. Acceptance of a COVID-19 Vaccine in Southeast Asia: A Cross-Sectional Study in Indonesia[J].Front Public Health. 2020;8: 381. Dubé E, Laberge C, Guay M, et al. Vaccine hesitancy: an overview[J].Hum Vaccin Immunother. 2013;9 (8): 1763-73. Henrich N, Holmes B. The public's acceptance of novel vaccines during a pandemic: a focus group study and its application to influenza H1N1[J].Emerg Health Threats J.2009;2: e8. 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-363635","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":19604255,"identity":"ae3a3f8a-a9df-42e3-9c3f-c6378f3f1368","order_by":0,"name":"Xiao Wan","email":"","orcid":"","institution":"Henan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xiao","middleName":"","lastName":"Wan","suffix":""},{"id":19604256,"identity":"6986c8e4-122c-440b-84e7-ffa6f1c30494","order_by":1,"name":"Ruiying Jia","email":"","orcid":"","institution":"Henan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ruiying","middleName":"","lastName":"Jia","suffix":""},{"id":19604257,"identity":"ac69d70b-853d-4958-8c5d-f785756fd5f9","order_by":2,"name":"Guangli Lu","email":"","orcid":"","institution":"Henan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Guangli","middleName":"","lastName":"Lu","suffix":""},{"id":19604258,"identity":"b8649441-45f6-4b26-a4e7-b33024e7bcc8","order_by":3,"name":"Chaoran Chen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAoklEQVRIiWNgGAWjYBACCeYDQLJCQo6feC1sCUDyjIWxZANJWhjbKhI3EK1Fso354efKeRKMGxiYHz66QYwWaTY2Y8mz2ySYzRnYjI1ziNEiJ9/Dxti4TYLNsoGHTZo4LWw8QC1zJHgMDhCrRRqspUFCgngtkm1AvzQckzCQbCbWLxLHmB9+bKipq+9nb374mCgtCMBMmvJRMApGwSgYBfgAAFU2JlrSy7q+AAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-8164-6588","institution":"Henan University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Chaoran","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2021-03-26 07:47:20","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-363635/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-363635/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":13684125,"identity":"70412113-c343-4e46-81e1-e3f09f12a632","added_by":"auto","created_at":"2021-09-17 12:06:25","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":349952,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-363635/v1/16ba0b25-d126-4734-a5b2-d327e8af4fc8.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eWillingness of The COVID-19 Vaccine Uptake: A Cross-Sectional Study of Community Residents in China\u003c/p\u003e","fulltext":[{"header":"1 Background","content":" \u003cp\u003eAround March 2020, the outbreak of COVID-19 caused by a new type of SARS-CoV-2 has spread all over the world, reaching the level of pandemic [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Global attention was soon focused on the situation because of the increasing number of new cases and the high rate of death associated with the infections [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Since COVID-19 has caused huge casualties and serious economic losses, posing a threat to the world, it is urgent to understand the current situation and formulate strategies to curb the spread of the virus [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, there are currently no specific antiviral treatments for COVID-19 [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e], so immunization is one of the most successful and cost-effective health interventions to prevent infectious diseases. WHO has recommended several candidate vaccine viruses for the development of COVID-19 vaccines for the purpose of pandemic preparedness [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. In December 2020, Polack's study showed that the BNT162b2 mRNA COVID-19 vaccine conferred 95% protection against COVID-19 in persons 16 years of age or older [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Therefore, vaccination is a critical part of COVID-19 pandemic preparedness [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAlthough the development of vaccine has made great progress, there are still important challenges regarding future immunization against COVID-19. For example, As of January 10, 2021, the Daily Mail and other media reported that there were two deaths of doctors vaccinated with the Pfizer COVID-19 vaccine in the United States; on January 14, 2021, the Norwegian drug administration said that 23 people in Norway who were vaccinated by Pfizer and BioNTech died. It has deepened the public's doubts and trust in the safety and effectiveness of the vaccine. Understanding residents' willingness to accept the COVID-19 vaccine and its main related factors may enable policy makers to take measures for vaccination coverage improvement. Five surveys had been conducted in China [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], four of them were in the research and development stage of the COVID-19 vaccine, while the other one focused on young adults preference for COVID-19 vaccines. The epidemic situation in China has been basically controlled and the developed vaccine is on the market now. Under the current situation, what are the willingness of Chinese community residents to be vaccinated with COVID-19 and its influencing factors? At present, there is a lack of research. In this study, a questionnaire survey was conducted among 3000 residents in Kaifeng City to evaluate the willingness of community residents to receive COVID-19 vaccination, and to determine the related possible factors.\u003c/p\u003e "},{"header":"2 Methods","content":" \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Research objects\u003c/h2\u003e \u003cp\u003eIn this study, residents were recruited by a multistage sampling approach [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Initially, two urban districts were randomly selected to be sampled. From each selected district, three towns or streets were randomly selected. And then two communities were randomly selected in each of these towns or streets. In total, 12 communities were confirmed as the survey locations. To meet the sample size requirement (3000 questionnaires), 250 families were randomly selected from each community, and each family was responsible for a questionnaire. We had gotten rid of people under the age of 18.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Research questionnaire\u003c/h2\u003e \u003cp\u003eThe survey was carried out using an anonymous questionnaire, which consisted of four sections: (1) Demographics information (gender, age, permanent residence, marital status, educational level, occupation, religious belief, per capita monthly income of family, a chronic underlying disease and medical insurance); (2) Residents\u0026rsquo; perceptions regarding COVID-19 listed as follows: \u0026lsquo;severity of COVID-19\u0026rsquo;; \u0026lsquo;worrying about infection with COVID-19\u0026rsquo;; \u0026lsquo;possibility of suffering from COVID-19\u0026rsquo;. (3) Residents' views on vaccines listed as follows: \u0026lsquo;the safety and effective of vaccines approved by the states\u0026rsquo;;\u0026lsquo;you ever heard of the COVID-19 vaccine\u0026rsquo;༛\u0026lsquo;Do you often focus on the development of the COVID-19 vaccine\u0026rsquo;༛\u0026lsquo;the COVID-19 vaccine can prevent COVID-19\u0026rsquo;. (4) Residents\u0026rsquo; willingness to accept a future COVID-19 vaccine if it is available with the response options of \u0026lsquo;yes\u0026rsquo; and \u0026lsquo;no\u0026rsquo;, meanwhile, the questionnaire also contains the reasons why the participants were willing or unwilling to be vaccinated and other related issues. All the questions were based on evidence in the existing literature.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Data collection\u003c/h2\u003e \u003cp\u003eWe conducted the survey from December,2020 to January,2021, and we had contacted general managers of the twelve communities to obtain approval to send questionnaires to their residents. Within each survey location, all the households were randomly numbered according to the address numbers. Then we use random number table method to select 250 families in each community, and an adult in each family is responsible for a questionnaire. 3000 anonymous questionnaires were posted to general managers of communities who then passed these questionnaires to the community residents, which will be mailed to us after filling in. All questionnaires were received within a 2-week period.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 Statistical analysis\u003c/h2\u003e \u003cp\u003eDescriptive results were cross-tabulated. χ\u003csup\u003e2\u003c/sup\u003e test was used to examine demographic characteristics between community residents who were willing to accept COVID-19 vaccination against those who were not willing to accept it. We conducted univariate analyses to identify apparent associations between perceptions regarding COVID-19 factors, perceptions regarding vaccines and the willingness to take a future COVID-19 vaccine. Logistic regression models were then performed to examine the factors associated with residents\u0026rsquo; willingness to accept a future COVID-19 vaccine. The level of statistical significance was set at a p-value of \u003c 0.001.\u003c/p\u003e \u003c/div\u003e "},{"header":"3 Results","content":" \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Demographic characteristics of participants\u003c/h2\u003e \u003cp\u003eAccording to Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, 56.25% participants were female and 77.23% participants lived in the town. Among the respondents, 69.64% were 18\u0026ndash;45 years old; 55.80% had married; 76.23% ever had COVID-19 around them. The distribution of educational level was as follows: Primary school or below: 6.69% (n\u0026thinsp;=\u0026thinsp;180), Junior middle school: 16.41% (n\u0026thinsp;=\u0026thinsp;441), High school or technical secondary: 14.17% (n\u0026thinsp;=\u0026thinsp;381), University: 47.32% (n\u0026thinsp;=\u0026thinsp;1272) and Graduate or above: 14.51% (n\u0026thinsp;=\u0026thinsp;390). The per capita monthly income (RMB) of families\u0026thinsp;\u0026le;\u0026thinsp;2000, 2000\u0026ndash;4000, 4000\u0026ndash;6000 and \u0026ge;\u0026thinsp;6000 accounted for 19.98%, 38.95%, 28.57% and 12.50% respectively.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographic characteristics on residents\u0026rsquo; willingness to receive COVID-19 vaccination\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal Number\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNumber of residents accepting\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNumber of residents declining\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003eχ\u003c/em\u003e\u003csup\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eGender(n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.364\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.243\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1176(43.75%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1038(88.27%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e138(11.73%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1512(56.25%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1356(89.68%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e156(10.32%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eAge (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e65.599\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e18\u0026ndash;45 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1872(69.64%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1683(89.90%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e189(10.10%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e46\u0026ndash;59 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e495(18.42%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e465(93.94%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30(6.06%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;60 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e318(11.83%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e243(76.42%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e75(23.58%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003ePermanent residence (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e25.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2076(77.23%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1815(87.43%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e261(12.57%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVillage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e612(22.77%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e579(94.61%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e33(5.39%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eMarital status (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.090\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.764\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMarried\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1569(58.37%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1395(88.91%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e174(11.09%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnmarried\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1119(41.63%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e999(89.28%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e120(10.72%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eEducational level (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e41.489\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrimary school or below\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e204(7.59%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e156(76.47%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e48(23.53%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJunior middle school\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e441(16.41%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e399(90.48%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e42(9.52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh school or technical secondary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e381(14.17%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e354(92.91%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27(7.09%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUniversity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1227(45.65%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1143(93.15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e129(10.51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGraduate or above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e390(14.51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e342(87.69%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e48(12.31%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eOccupation (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.340\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.560\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMedical staff\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e528(19.64%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e474(89.77%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e54(10.23%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNon-medical staff\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2160(80.36%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1920(88.89%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e240(11.11%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eReligious belief(n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.209\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.647\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e228(8.48%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e201(88.16%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27(11.84%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2460(91.52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2193(89.15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e267(10.85%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003ePer capita monthly income of family (RMB) (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e10.551\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026le;\u0026thinsp;2000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e537(19.98%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e486(90.50%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e51(9.50%0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2000\u0026ndash;4000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1047(38.95%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e915(87.39%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e132(12.61%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4000\u0026ndash;6000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e768(28.57%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e702(91.41%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e66(8.59%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;6000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e336(12.50%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e291(86.61%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e45(13.39%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eA chronic underlying disease(n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e7.635\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.006\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e240(8.93%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e201(83.75%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e39(16.25%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2448(91.07%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2193(89.58%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e255(10.42%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eMedical insurance (n\u0026thinsp;=\u0026thinsp;2688)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.261\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.261\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2460(91.52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e732(89.27%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e88(10.73%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e228(8.48%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e198(86.84%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30(13.16%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.2 The situation of willingness vaccination and related factors\u003c/h2\u003e \u003cp\u003e86.80% of participants would like to accept the COVID-19 vaccine when it is available. The main reasons were that they worried about being infected in the future (78.95%) and spreading the infection to people around them (71.55%). Meanwhile, only 13.20% participants do not want to receive the COVID-19 vaccine. The main reasons why they don't plan to get vaccinated with vaccines were that not believing the safety (68.37%) and effectiveness (40.82%) of vaccines and thought vaccines had side effects (36.74%). See Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e for details.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eReasons for accepting or declining the COVID-19 vaccine\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReasons for willingness to vaccinate(n\u0026thinsp;=\u0026thinsp;2394)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ebeing infected in the future\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1890(78.95%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003espreading the infection to people around them\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1713(71.55%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ebeing quarantined after being infected\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e942(39.35%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ebelieving the safety and effectiveness of vaccines\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1632(68.17%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003erecommended by doctors\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e486(20.30%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003erecommended by family or friends\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e381(15.91%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThe vast majority of people around are willing to vaccinate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e570(23.81%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReasons for unwillingness to vaccinate(n\u0026thinsp;=\u0026thinsp;294)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ethe safety of vaccines\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e201(68.37%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ethe effectiveness of vaccines\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e120(40.82%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ebe well\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e87(29.59%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eside effects\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e108(36.74%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003edomestic epidemic had been basically controlled\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e75(25.51%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther concerns (vaccination contraindication, no time andpoor physical activity)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e\u003c30(\u003c0.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Difference analysis of vaccination willingness\u003c/h2\u003e \u003cp\u003eThe demographic characteristics of respondents who were willing to accept COVID-19 vaccination and with those who were not willing to accept it were compared by χ\u003csup\u003e2\u003c/sup\u003e test and were presented Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Residents who were willing to receive the COVID-19 vaccine were different from those who were not willing to receive the COVID-19 vaccine with respect to \u0026ldquo;age, permanent residence and educational level\u0026rdquo;. There were no statistically significant differences in other characteristics as analyzed by chi-square test.\u003c/p\u003e \u003cp\u003eThe relationship between demographic and other characteristics of the community residents and their willingness to accept vaccination were analyzed further using logistic regression (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e. the variables that were significantly associated with a higher likelihood of reporting willingness to accept the COVID-19 vaccine were people who were 46\u0026ndash;59 years old (OR\u0026thinsp;=\u0026thinsp;0.311; 95% CI: 0.188\u0026ndash;0.512) and often live in the town (OR\u0026thinsp;=\u0026thinsp;3.979; 95% CI: 2.473\u0026ndash;6.402), people who often pay attention to the development of the COVID-19 vaccine (OR\u0026thinsp;=\u0026thinsp;0.301; 95% CI: 0.203\u0026ndash;0.447) and agreeing that the COVID-19 vaccine can prevent COVID-19 (OR\u0026thinsp;=\u0026thinsp;0.106; 95% CI: 0.050\u0026ndash;0.224).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eLogistic regression analysis for the factors associated with residents\u0026rsquo; willingness of the COVID-19 vaccine uptake\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eB\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eOdds ratio\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e95% CI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eAge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e18\u0026ndash;45 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.431\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.650\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.411\u0026ndash;1.028\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.066\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e46\u0026ndash;59 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-1.168\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.311\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.188\u0026ndash;0.516\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;60 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003ePermanent residence\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.381\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.979\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.473\u0026ndash;6.402\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVillage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eEducational level\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrimary school or below\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.830\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.294\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.196\u0026ndash;4.397\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJunior middle school\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.042\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.043\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.586\u0026ndash;1.854\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.887\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh school or technical secondary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.436\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.647\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.364\u0026ndash;1.150\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.138\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUniversity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.088\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.916\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.630\u0026ndash;1.333\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.647\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGraduate or above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eSeverity of COVID-19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSerious\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-1.162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.313\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.160\u0026ndash;0.611\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ekind\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.492\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.612\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.281\u0026ndash;1.333\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.216\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot serious\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eThe safety and effective of vaccines approved by the states\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-1.070\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.343\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.146\u0026ndash;0.805\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eDo you often focus on the development of the COVID-19 vaccine\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-1.199\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.301\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.203\u0026ndash;0.447\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eThe COVID-19 vaccine can prevent COVID-19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-2.242\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.106\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.050\u0026ndash;0.224\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003c0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e "},{"header":"4 Discussion","content":" \u003cp\u003eIn this cross-sectional study, residents showed that they had a high acceptance of COVID-19 vaccination, which was consistent with the survey results of Malik and Reiter [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. The high acceptance of COVID-19 vaccination among the residents reflects the strong demand for the vaccine and the high awareness of the importance of the vaccine in controlling the epidemic. The reasons that affect the vaccination of residents are believing in the safety and effectiveness of the COVID-19 vaccine and worrying about being infected in the future and spreading the infection to people around you and being quarantined after being infected. It shows that the risk perception of residents was an important predictor for vaccination acceptance, as those who perceived a high risk of infection were more likely to get vaccinated as soon as possible.\u003c/p\u003e \u003cp\u003eAs the majority of respondents had the intention of getting vaccinated, it is meaningful to identify barriers or facilitators to their vaccination decision on whether to accept vaccination. Public concerns about vaccine safety are often reported as a major obstacle to vaccination decisions, especially for new vaccines. Our study confirmed the positive role of belief in safety and effectiveness of the COVID-19 vaccine and the constant attention to the development of the COVID-19 vaccine in accepting COVID-19 vaccination, which was consistent with previous studies [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Our study found that residents who often live in the town were more willing to vaccination than those who live in the village. It may be because of the high mobility of urban population, they seldom stay at home and travel more. These behaviors may lead to their higher perceived risk of being infected with COVID-19, and may eventually lead to higher acceptance of the vaccine. Our study also found that both medical staffs and non-medical staffs were willing to get the COVID-19 vaccine, Perhaps the severity of the epidemic, the high infectivity of the virus and the publicity of the role of the vaccine by the media are the driving factors for them to decide to vaccinate [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Inconsistent results were shown in previous studies from the Indonesia, Turkey or the United States concerning the impact of demographic characteristics on the acceptance of the COVID-19 vaccine [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], and we found that, among the residents, respondents aged 46 to 59 were more likely to accept vaccination, while respondents\u0026rsquo; income or medical insurance may not influence their intention as shown in the results of logistic regression analysis. This shows that people aged 46 to 59 are strongly aware that vaccines provide not only personal protection, but also family protection. However, the income and medical insurance have nothing to do with the willingness to vaccination, which may be free of charge for the COVID-19 vaccination in China, and Chinese medical insurance has basically reached universal coverage.\u003c/p\u003e \u003cp\u003eThere are still a small proportion of residents who are not willing to accept a future COVID-19 vaccine. Similar to the finding of Polack [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], we showed that the main reason why residents don't want to be vaccinated with the COVID-19 vaccine was to worry about the side effects and the efficacy and safety of the new vaccine. At the same time, Dub\u0026eacute; [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] found that the uncertainties about new vaccine would lower the vaccine confidence of the public; Henrich's research showed concerns about using new vaccines during a pandemic were to differ from those of established products in a non-crisis situation [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. So we can infer that the actual coverage of COVID-19 vaccination would be lower than our estimate of 89.60% in residents\u0026rsquo; willingness to accept COVID-19 vaccination. Research shows that the higher the coverage rate of vaccination, the higher the level of preventing the spread of the disease [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Therefore, to make sure the COVID-19 vaccine fully covered, the health departments and other sectors should strengthen the regular vaccination education of the vaccine to improve overall vaccine confidence and the compliance of the public.\u003c/p\u003e \u003cp\u003eWe conducted the investigation under the condition of stable epidemic situation in China, which can highlight the public's willingness to receive vaccination during the stable period. Meanwhile, we investigated the influencing factors of residents' vaccination willingness, the exploration of barriers and facilitators of vaccination was helpful for government to design effective immunization strategies to increase the vaccine uptake in the prevention and control of COVID-19. A limitation of our study is that we have only one center, but considering the diverse epidemic strength, income levels and healthcare access across regions, we should adopt multicenter research. And compared with the general population of China, our sample is younger and has limited universality.\u003c/p\u003e "},{"header":"5 Conclusion","content":" \u003cp\u003eOur study reflected a high level of acceptance of COVID-19 vaccination among the community residents in China although it is not during the pandemic period. Concerns about vaccine safety and effectiveness by the public may hinder the promotion of vaccine uptake in the future. To expand vaccine uptake in response to prevent the spread of the disease, health education and communication from authoritative sources will be important to alleviate public concerns about vaccine safety.\u003c/p\u003e "},{"header":"Abbreviations","content":" \u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eCOVID-19\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ecoronavirus disease 2019\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e "},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted according to the guidelines that were laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the Ethics Committee of Kaifeng CDC. In addition, those participants were informed about the purpose of the study, the importance of their participation, and their ability to withdraw at any time. Written consent was obtained prior to data collection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIndividual respondent consent to participate in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIf you want data information, please contact our corresponding author.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflicts of interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the following grants. Henan University Graduate Education Innovation and quality improvement project (Grant NO. SYL19060141), Henan Social Science Planning and decision consulting project (Grant NO. 2018JC38), Henan graduate education reform and quality improvement project (Grant NO. YJS2021AL074).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWX designed the study, drafted the manuscript. LG performed the data collection. JR analyzed the data. CC revised the manuscript. All authors have read and approved the final version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors would like to thank all the participants of the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDisclosure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eRuiying Jia was the co-first author.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eLu H, Stratton C W, Tang Y W. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle[J].J Med Virol. 2020;92 (4): 401-402.\u003c/li\u003e\n\u003cli\u003eHarapan H, Itoh N, Yufika A, et al. Coronavirus disease 2019 (COVID-19): A literature review[J].J Infect Public Health. 2020;13 (5): 667-673.\u003c/li\u003e\n\u003cli\u003eAhn D G, Shin H J, Kim M H, et al. Current Status of Epidemiology, Diagnosis, Therapeutics, and Vaccines for Novel Coronavirus Disease 2019 (COVID-19)[J].J Microbiol Biotechnol. 2020;30 (3): 313-324.\u003c/li\u003e\n\u003cli\u003eHeymann D L, Shindo N. COVID-19: what is next for public health?[J].Lancet. 2020;395 (10224): 542-545.\u003c/li\u003e\n\u003cli\u003eWang J, Peng Y, Xu H, et al. The COVID-19 Vaccine Race: Challenges and Opportunities in Vaccine Formulation[J].AAPS PharmSciTech. 2020;21 (6): 225.\u003c/li\u003e\n\u003cli\u003ePolack F P, Thomas S J, Kitchin N, et al. Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine[J].N Engl J Med. 2020;383 (27): 2603-2615.\u003c/li\u003e\n\u003cli\u003eGraham B S. Rapid COVID-19 vaccine development[J].Science. 2020;368 (6494): 945-946.\u003c/li\u003e\n\u003cli\u003eWang K, Wong E L, Ho K F, et al. Change of Willingness to Accept COVID-19 Vaccine and Reasons of Vaccine Hesitancy of Working People at Different Waves of Local Epidemic in Hong Kong, China: Repeated Cross-Sectional Surveys[J].Vaccines (Basel). 2021; 9 (1).\u003c/li\u003e\n\u003cli\u003eZhou T, Nguyen T T, Zhong J, et al. A COVID-19 descriptive study of life after lockdown in Wuhan, China[J].R Soc Open Sci. 2020;7 (9): 200705\u003c/li\u003e\n\u003cli\u003eDong D, Xu R H, Wong E L, et al. Public preference for COVID-19 vaccines in China: A discrete choice experiment[J].Health Expect. 2020;23 (6): 1543-1578.\u003c/li\u003e\n\u003cli\u003eLin Y, Hu Z, Zhao Q, et al. Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China[J].PLoS Negl Trop Dis. 2020;14 (12): e0008961.\u003c/li\u003e\n\u003cli\u003eWang J, Jing R, Lai X, et al.Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China[J].Vaccines (Basel),2020, 8 (3).\u003c/li\u003e\n\u003cli\u003eWu S, Su J, Yang P, et al. Willingness to accept a future influenza A(H7N9) vaccine in Beijing, China[J].Vaccine. 2018;36 (4): 491-497.\u003c/li\u003e\n\u003cli\u003eMalik A A, Mcfadden S M, Elharake J, et al. Determinants of COVID-19 vaccine acceptance in the US[J].EClinicalMedicine. 2020;26: 100495.\u003c/li\u003e\n\u003cli\u003eReiter P L, Pennell M L, Katz M L. Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?[J].Vaccine. 2020;38 (42): 6500-6507.\u003c/li\u003e\n\u003cli\u003eRajamoorthy Y, Radam A, Taib N M, et al. Willingness to pay for hepatitis B vaccination in Selangor, Malaysia: A cross-sectional household survey[J].PLoS One. 2019;14 (4): e0215125.\u003c/li\u003e\n\u003cli\u003eAkarsu B, Canbay \u0026Ouml;zdemir D, Ayhan Baser D, et al.While studies on COVID-19 vaccine is ongoing, the public's thoughts and attitudes to the future COVID-19 vaccine[J].Int J Clin Pract,2021, 75 (4): e13891.\u003c/li\u003e\n\u003cli\u003eHarapan H, Wagner A L, Yufika A, et al. Acceptance of a COVID-19 Vaccine in Southeast Asia: A Cross-Sectional Study in Indonesia[J].Front Public Health. 2020;8: 381.\u003c/li\u003e\n\u003cli\u003eDub\u0026eacute; E, Laberge C, Guay M, et al. Vaccine hesitancy: an overview[J].Hum Vaccin Immunother. 2013;9 (8): 1763-73.\u003c/li\u003e\n\u003cli\u003eHenrich N, Holmes B. The public's acceptance of novel vaccines during a pandemic: a focus group study and its application to influenza H1N1[J].Emerg Health Threats J.2009;2: e8.\u003c/li\u003e\n\u003c/ol\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":"community residents, the COVID-19 vaccine, willingness, influencing factors","lastPublishedDoi":"10.21203/rs.3.rs-363635/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-363635/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThe pandemic of coronavirus disease 2019 (COVID-19) brought great disaster to the world. Vaccination for COVID-19 is one of the most important preventative measures to reduce the disease transmission. Our study aims to estimate residents\u0026rsquo; willingness to accept COVID-19 vaccination and its influencing factors in the general adult population in Chinese community.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003e3000 questionnaires were posted from December,2020 to January,2021 to residents in Kaifeng with 89.60% response rate. Results of the 2688 respondents on their willingness to accept the COVID-19 vaccine were analyzed.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003e89.06% of respondents were willing to accept a COVID-19 vaccine if vaccines were available. People who were 46\u0026ndash;59 years old (OR\u0026thinsp;=\u0026thinsp;0.311; 95% CI: 0.188\u0026ndash;0.512), often live in the town (OR\u0026thinsp;=\u0026thinsp;3.979; 95% CI: 2.473\u0026ndash;6.402) and pay attention to the development of the COVID-19 vaccine (OR\u0026thinsp;=\u0026thinsp;0.301; 95% CI: 0.203\u0026ndash;0.447), and agreeing that the COVID-19 vaccine can prevent COVID-19 (OR\u0026thinsp;=\u0026thinsp;0.106; 95% CI: 0.050\u0026ndash;0.224) were significantly associated with their willingness to accept receive COVID-19 vaccination.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eA high acceptance of COVID-19 vaccination had been shown among Chinese residents although it was not during the pandemic period, while concerns about vaccine safety and effectiveness might hinder the promotion of vaccine uptake.\u003c/p\u003e","manuscriptTitle":"Willingness of The COVID-19 Vaccine Uptake: A Cross-Sectional Study of Community Residents in China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-04-06 14:11:14","doi":"10.21203/rs.3.rs-363635/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":"d00f5151-1398-4a4a-ae80-3e2488d3d864","owner":[],"postedDate":"April 6th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":3421606,"name":"Health Economics \u0026 Outcomes Research"},{"id":3421607,"name":"Infectious Diseases"},{"id":3421608,"name":"Health Policy"}],"tags":[],"updatedAt":"2021-04-16T11:48:53+00:00","versionOfRecord":[],"versionCreatedAt":"2021-04-06 14:11:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-363635","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-363635","identity":"rs-363635","version":["v1"]},"buildId":"FbvkV6FR0MCFSLy54lSbu","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}