Individual preferences for COVID-19 vaccination in China |
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| Authors: | Anli Leng Elizabeth Maitland Siyuan Wang Stephen Nicholas Rugang Liu Jian Wang |
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| Affiliation: | 1. School of Political Science and Public Administration, Institute of Governance, Shandong University, 72 Binhai Rd, Qingdao, Shandong 266237, China;2. School of Management, University of Liverpool, Chatham Building, Chatham Street, Liverpool L697ZH, England, United Kingdom;3. University of Melbourne, 369 Abbotsford Street, North Melbourne, VIC 3051, Australia;4. Australian National Institute of Management and Commerce, 1 Central Avenue Australian Technology Park, Eveleigh Sydney, NSW 2015, Australia;5. Newcastle Business School, University of Newcastle, University Drive, Newcastle, NSW 2308, Australia;6. School of Health Policy & Management, Nanjing Medical University, No. 101 Longmian Avenue, Jiangning District, Nanjing 211166, China;7. Dong Fureng Institute of Economic and Social Development, Wuhan University, 54 Dongsi Lishi Hutong, Beijing 100010, China;8. Center for Health Economics and Management at School of Economics and Management, Wuhan University, Wuhan, Hubei Province 430072, China |
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| Abstract: | BackgroundVaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making.ObjectiveWe aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors influencing vaccination decision-making to facilitate vaccination coverage.MethodsA D-efficient discrete choice experiment was conducted across six Chinese provinces selected by the stratified random sampling method. Vaccine choice sets were constructed using seven attributes: vaccine effectiveness, side-effects, accessibility, number of doses, vaccination sites, duration of vaccine protection, and proportion of acquaintances vaccinated. Conditional logit and latent class models were used to identify preferences.ResultsAlthough all seven attributes were proved to significantly influence respondents’ vaccination decision, vaccine effectiveness, side-effects and proportion of acquaintances vaccinated were the most important. We also found a higher probability of vaccinating when the vaccine was more effective; risks of serious side effects were small; vaccinations were free and voluntary; the fewer the number of doses; the longer the protection duration; and the higher the proportion of acquaintances vaccinated. Higher local vaccine coverage created altruistic herd incentives to vaccinate rather than free-rider problems. The predicted vaccination uptake of the optimal vaccination scenario in our study was 84.77%. Preference heterogeneity was substantial. Individuals who were older, had a lower education level, lower income, higher trust in the vaccine and higher perceived risk of infection, displayed a higher probability to vaccinate.ConclusionsPreference heterogeneity among individuals should lead health authorities to address the diversity of expectations about COVID-19 vaccinations. To maximize COVID-19 vaccine uptake, health authorities should promote vaccine effectiveness; pro-actively communicate the absence or presence of vaccine side effects; and ensure rapid and wide media communication about local vaccine coverage. |
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| Keywords: | COVID-19 Preference Vaccine Health policy |
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