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      Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China

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          Abstract

          Background

          This study attempts to understand coronavirus disease 2019 (COVID-19) vaccine demand and hesitancy by assessing the public’s vaccination intention and willingness-to-pay (WTP). Confidence in COVID-19 vaccines produced in China and preference for domestically-made or foreign-made vaccines was also investigated.

          Methods

          A nationwide cross-sectional, self-administered online survey was conducted on 1–19 May 2020. The health belief model (HBM) was used as a theoretical framework for understanding COVID-19 vaccination intent and WTP.

          Results

          A total of 3,541 complete responses were received. The majority reported a probably yes intent (54.6%), followed by a definite yes intent (28.7%). The perception that vaccination decreases the chances of getting COVID-19 under the perceived benefit construct (OR = 3.14, 95% CI 2.05–4.83) and not being concerned about the efficacy of new COVID-19 vaccines under the perceived barriers construct (OR = 1.65, 95% CI 1.31–2.09) were found to have the highest significant odds of a definite intention to take the COVID-19 vaccine. The median (interquartile range [IQR]) of WTP for COVID-19 vaccine was CNY¥200/US$28 (IQR CNY¥100–500/USD$14–72). The highest marginal WTP for the vaccine was influenced by socio-economic factors. The majority were confident (48.7%) and completely confident (46.1%) in domestically-made COVID-19 vaccine. 64.2% reported a preference for a domestically-made over foreign-made COVID-19 vaccine.

          Conclusions

          The findings demonstrate the utility of HBM constructs in understanding COVID-19 vaccination intent and WTP. It is important to improve health promotion and reduce the barriers to COVID-19 vaccination.

          Author summary

          This study investigated vaccine demand and hesitancy by assessing the intention to vaccinate against COVID-19 and willingness-to-pay. We found that a considerable proportion of the public in China has a definite intention to receive the COVID-19 vaccine; a higher proportion expressed a probable intention. Perceived benefits and barriers to vaccination (namely vaccine efficacy and adverse event concerns) of the health belief model constructs were significant predictors of COVID-19 vaccination intent. A substantial proportion was concerned about fake or faulty COVID-19 vaccines; however, this was not a significant predictor of vaccination intention. The willingness-to-pay for the COVID-19 was determined and was found to be positively associated with income. Higher confidence in domestically-made COVID-19 vaccines was also found in this study. The preference for domestically-made over foreign-made COVID-19 vaccines indicates that a future COVID-19 vaccine developed by domestic companies will receive a favourable response from the public in China.The findings of this study provide useful guidance for tailored interventions to enhance the acceptance of a new COVID-19 vaccine once it is available. Promotional messages framing the benefit of vaccination and concerns about new vaccine safety to enhance vaccine uptake is warranted.

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          Most cited references29

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          Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)

          Analogous to checklists of recommendations such as the CONSORT statement (for randomized trials), or the QUORUM statement (for systematic reviews), which are designed to ensure the quality of reports in the medical literature, a checklist of recommendations for authors is being presented by the Journal of Medical Internet Research (JMIR) in an effort to ensure complete descriptions of Web-based surveys. Papers on Web-based surveys reported according to the CHERRIES statement will give readers a better understanding of the sample (self-)selection and its possible differences from a “representative” sample. It is hoped that author adherence to the checklist will increase the usefulness of such reports.
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            Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination.

            Risk perceptions are central to many health behavior theories. However, the relationship between risk perceptions and behavior, muddied by instances of inappropriate assessment and analysis, often looks weak. A meta-analysis of eligible studies assessing the bivariate association between adult vaccination and perceived likelihood, susceptibility, or severity was conducted. Thirty-four studies met inclusion criteria (N = 15,988). Risk likelihood (pooled r = .26), susceptibility (pooled r = .24), and severity (pooled r = .16) significantly predicted vaccination behavior. The risk perception-behavior relationship was larger for studies that were prospective, had higher quality risk measures, or had unskewed risk or behavior measures. The consistent relationships between risk perceptions and behavior, larger than suggested by prior meta-analyses, suggest that risk perceptions are rightly placed as core concepts in theories of health behavior. (c) 2007 APA, all rights reserved
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              The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay

              The development of a vaccine against SARS-CoV-2 infection is on the way. To prepare for public availability, the acceptability of a hypothetical COVID-19 vaccine and willingness to pay (WTP) were assessed to provide insights into future demand forecasts and pricing considerations.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Formal analysisRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                17 December 2020
                December 2020
                : 14
                : 12
                : e0008961
                Affiliations
                [1 ] Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
                [2 ] State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen, Fujian, China
                [3 ] Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
                University of Pittsburgh, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-4208-9408
                https://orcid.org/0000-0002-5014-5684
                https://orcid.org/0000-0002-0107-0532
                Article
                PNTD-D-20-01053
                10.1371/journal.pntd.0008961
                7775119
                33332359
                22068e3e-e3eb-49c1-9319-66bd2e0ed378
                © 2020 Lin et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 June 2020
                : 6 November 2020
                Page count
                Figures: 4, Tables: 4, Pages: 22
                Funding
                This study was supported by the Pilot Project of the Fujian Provincial Department of Science and Technology (No. 2020Y0005; YL); Fujian Medical University's Rapid Response Funding Call for COVID-19 Related Research (No. 2020YJ003; ZH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Infectious Disease Control
                Vaccines
                Biology and Life Sciences
                Immunology
                Vaccination and Immunization
                Medicine and Health Sciences
                Immunology
                Vaccination and Immunization
                Medicine and Health Sciences
                Public and Occupational Health
                Preventive Medicine
                Vaccination and Immunization
                Biology and Life Sciences
                Immunology
                Vaccination and Immunization
                Vaccine Development
                Medicine and Health Sciences
                Immunology
                Vaccination and Immunization
                Vaccine Development
                Medicine and Health Sciences
                Public and Occupational Health
                Preventive Medicine
                Vaccination and Immunization
                Vaccine Development
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Infectious Disease Control
                Vaccines
                Viral Vaccines
                Biology and Life Sciences
                Microbiology
                Virology
                Viral Vaccines
                People and Places
                Geographical Locations
                Asia
                China
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Health Systems Strengthening
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-12-31
                All data files are available from the Havard Dataverse database ( https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/AC89XZ).
                COVID-19

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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