Acceptance and Willingness-to-Pay of Vaccine for COVID-19 in Asian Countries: A Hypothetical Assessment Survey

DOI IR (HANDLE) Open Access
  • K M Ariful Kabir
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Department of Mathematics, Bangladesh University of Eng. and Tech
  • Murshed Ahmed Ovi
    Department of Mathematics, Bangladesh University of Eng. and Tech
  • Murtyas Solli
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
  • Hagishima Aya
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Faculty of Engineering Sciences, Kyushu University
  • Tanimoto Jun
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Faculty of Engineering Sciences, Kyushu University

Description

Building on safety and broad acceptance of healthcare policy, we agree that human behavior is substantial because its success depends on an individual's contribution, ethnic, economic, and social status. We present three surveys testing this account for imminent hypothetical COVID-19 vaccines in Bangladesh, Indonesia, and Malaysia to study to find the acceptance and willingness-to-pay (WTP) for a vaccine in a social context. We used the contingent valuation (CV) method to estimate WTP in Bangladesh, Malaysia, and Indonesia. The statistical ANOVA estimation mode was supposed to measure the critical factors of vaccine acceptance and WTP for three vaccines and compare the associated characteristics with conventional epidemic vaccination models. The studies investigated how an individual's vaccination behavior depends on disease severity, geographical proximity, and socioeconomic similarity. Our results demonstrate that increasing vaccine uptake has a significant impact on vaccine efficacy and disease severity, while self-reported vaccine preferences were associated with factors such as lack of education and economic conditions.

Journal

  • Evergreen

    Evergreen 10 (2), 617-625, 2023-06

    Transdisciplinary Research and Education Center for Green Technologies, Kyushu University

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Details 詳細情報について

  • CRID
    1390859758200459008
  • DOI
    10.5109/6792807
  • ISSN
    24325953
    21890420
  • HANDLE
    2324/6792807
  • Text Lang
    en
  • Data Source
    • JaLC
    • IRDB
    • Crossref
    • OpenAIRE
  • Abstract License Flag
    Allowed

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