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Individual preferences for COVID-19 vaccination in China.
Leng, Anli; Maitland, Elizabeth; Wang, Siyuan; Nicholas, Stephen; Liu, Rugang; Wang, Jian.
  • Leng A; School of Political Science and Public Administration, Institute of Governance, Shandong University, 72 Binhai Rd, Qingdao, Shandong 266237, China. Electronic address: lenganli@sdu.edu.cn.
  • Maitland E; School of Management, University of Liverpool, Chatham Building, Chatham Street, Liverpool L697ZH, England, United Kingdom. Electronic address: e.maitland@liverpool.ac.uk.
  • Wang S; University of Melbourne, 369 Abbotsford Street, North Melbourne, VIC 3051, Australia. Electronic address: wsyuan26@hotmail.com.
  • Nicholas S; Australian National Institute of Management and Commerce, 1 Central Avenue Australian Technology Park, Eveleigh Sydney, NSW 2015, Australia; Newcastle Business School, University of Newcastle, University Drive, Newcastle, NSW 2308, Australia. Electronic address: stephen.nicholas@newcastle.edu.au.
  • Liu R; School of Health Policy & Management, Nanjing Medical University, No. 101 Longmian Avenue, Jiangning District, Nanjing 211166, China. Electronic address: rugangliu@njmu.edu.cn.
  • Wang J; Dong Fureng Institute of Economic and Social Development, Wuhan University, 54 Dongsi Lishi Hutong, Beijing 100010, China; Center for Health Economics and Management at School of Economics and Management, Wuhan University, Wuhan, Hubei Province 430072, China. Electronic address: wangjian993@whu.edu.
Vaccine ; 39(2): 247-254, 2021 01 08.
Article in English | MEDLINE | ID: covidwho-957470
ABSTRACT

BACKGROUND:

Vaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making.

OBJECTIVE:

We aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors influencing vaccination decision-making to facilitate vaccination coverage.

METHODS:

A 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.

RESULTS:

Although 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.

CONCLUSIONS:

Preference 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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination / Decision Making / Pandemics / COVID-19 Vaccines / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Vaccines Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Vaccine Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination / Decision Making / Pandemics / COVID-19 Vaccines / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Vaccines Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Vaccine Year: 2021 Document Type: Article