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

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...

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Autores principales: Azami, Milad, Nasirkandy, Marzieh Parizad, Esmaeili Gouvarchin Ghaleh, Hadi, Ranjbar, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518917/
https://www.ncbi.nlm.nih.gov/pubmed/36170334
http://dx.doi.org/10.1371/journal.pone.0272273
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author Azami, Milad
Nasirkandy, Marzieh Parizad
Esmaeili Gouvarchin Ghaleh, Hadi
Ranjbar, Reza
author_facet Azami, Milad
Nasirkandy, Marzieh Parizad
Esmaeili Gouvarchin Ghaleh, Hadi
Ranjbar, Reza
author_sort Azami, Milad
collection PubMed
description 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<0.001), and only meta-regression was significant based on the month of the study. The effect of some variables such as graviad (OR = 1.02 [95%CI: 0.90–1.16]), maternal age was (OR = 1.02 [95%CI: 0.93–1.11]) and history of influenza vaccination (OR = 0.87 [95%CI: 0.71–1.06]) on COVID-19 vaccine acceptance was evaluated, which was not significant. CONCLUSION: The prevalence of COVID-19 vaccine acceptance in pregnant women was 53.46%, which was much lower than the general COVID-19 vaccination. Therefore, necessary interventions should be taken to increase the acceptance of the vaccine, address safety concerns and educate about it.
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spelling pubmed-95189172022-09-29 COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis Azami, Milad Nasirkandy, Marzieh Parizad Esmaeili Gouvarchin Ghaleh, Hadi Ranjbar, Reza PLoS One Research Article 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<0.001), and only meta-regression was significant based on the month of the study. The effect of some variables such as graviad (OR = 1.02 [95%CI: 0.90–1.16]), maternal age was (OR = 1.02 [95%CI: 0.93–1.11]) and history of influenza vaccination (OR = 0.87 [95%CI: 0.71–1.06]) on COVID-19 vaccine acceptance was evaluated, which was not significant. CONCLUSION: The prevalence of COVID-19 vaccine acceptance in pregnant women was 53.46%, which was much lower than the general COVID-19 vaccination. Therefore, necessary interventions should be taken to increase the acceptance of the vaccine, address safety concerns and educate about it. Public Library of Science 2022-09-28 /pmc/articles/PMC9518917/ /pubmed/36170334 http://dx.doi.org/10.1371/journal.pone.0272273 Text en © 2022 Azami et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Azami, Milad
Nasirkandy, Marzieh Parizad
Esmaeili Gouvarchin Ghaleh, Hadi
Ranjbar, Reza
COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis
title COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis
title_full COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis
title_fullStr COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis
title_full_unstemmed COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis
title_short COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis
title_sort covid-19 vaccine acceptance among pregnant women worldwide: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518917/
https://www.ncbi.nlm.nih.gov/pubmed/36170334
http://dx.doi.org/10.1371/journal.pone.0272273
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