Willingness to pay for a COVID-19 vaccine and its associated determinants in Iran

Moslem Soofi, Gerjo Kok, Shahin Soltani, Ali Kazemi-Karyani, Farid Najafi, Behzad Karamimatin*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

INTRODUCTION: Understanding the individuals' willingness to pay (WTP) for the COVID-19 vaccine could help design policy interventions to control the COVID-19 pandemic. This study aimed to estimate the individuals' willingness to pay (WTP) for a COVID-19 vaccine and to identify its associated determinants.

METHODS: A cross-sectional survey was conducted on 526 Iranian adults using a web-based questionnaire. A double-bounded contingent valuation approach was used to estimate WTP for the COVID-19 vaccine. The parameters of the model were estimated based on the maximum likelihood method.

RESULTS: A considerable proportion of participants (90.87%) were willing to pay for a COVID-19 vaccine. Based on our discrete choice model, the estimated mean WTP for a COVID-19 vaccine was US$ 60.13 (CI: 56.80-63.46; p < 0.01). Having a higher perceived risk of being contaminated with COVID-19, higher average monthly income, higher education level, pre-existence of chronic diseases, previous experience of vaccination, and belonging to higher age groups were significant determinants associated with WTP for COVID-19 vaccination.

CONCLUSION: The present study indicates a relatively high WTP and acceptance of a COVID-19 vaccine among the Iranian population. Average monthly income, risk perception, education level, the preexistence of chronic disease, and previous vaccination experience increased the likelihood of WTP for a vaccine. Subsidizing the COVID-19 vaccine for the low-income population and raising risk perception among the population should be considered in formulating vaccine-related interventions.

Original languageEnglish
Article number1036110
Number of pages7
JournalFrontiers in Public Health
Volume11
DOIs
Publication statusPublished - 16 Feb 2023

Keywords

  • Adult
  • Humans
  • COVID-19 Vaccines
  • Iran
  • COVID-19
  • Cross-Sectional Studies
  • Pandemics

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