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COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis

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  • Milad Azami
  • Marzieh Parizad Nasirkandy
  • Hadi Esmaeili Gouvarchin Ghaleh
  • Reza Ranjbar

Abstract

Background: The COVID-19 pandemic has led to the death of many people worldwide. The World Health Organization (WHO) has declared vaccine resistance as one of the greatest health threats in the world even before the COVID-19 epidemic. The aim of this study was to evaluate the acceptance of COVID-19 vaccine in pregnant women. Method: We performed this systematic review and meta-analysis in accordance with the PRISMA guidelines. We applied the standard search strategy to the PubMed/Medline, Web of Science (ISI), Scopus, Science Direct, Cochrane Library, EMBASE, and EBSCO databases, and the Google Scholar search engine. Heterogeneity between studies was relatively high and therefore meta-analyses were performed based on random effects model with 95% CI using STATA version 16. Results: In 16 articles with a sample size of 19219 pregnant women, the acceptance of COVID-19 vaccine was estimated 53.46% (95%CI: 47.64%-59.24%). Subgroup analysis was performed based on continent (p = 0.796), data collection method (p = 0.450) and meta-regression based on the month of the study (P

Suggested Citation

  • Milad Azami & Marzieh Parizad Nasirkandy & Hadi Esmaeili Gouvarchin Ghaleh & Reza Ranjbar, 2022. "COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-19, September.
    • Handle: RePEc:plo:pone00:0272273
    DOI: 10.1371/journal.pone.0272273
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    1. A. E. Ades & G. Lu & J. P. T. Higgins, 2005. "The Interpretation of Random-Effects Meta-Analysis in Decision Models," Medical Decision Making, , vol. 25(6), pages 646-654, November.
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