2019冠状病毒病疫苗在印度人群中的犹豫和接受:一项系统综述和荟萃分析

IF 1 Q4 INFECTIOUS DISEASES
Journal of Global Infectious Diseases Pub Date : 2025-03-31 eCollection Date: 2025-01-01 DOI:10.4103/jgid.jgid_129_24
Janmejaya Samal, G S Preetha, R Praveen Kumar, Neha Lakshman, Ranjit Kumar Dehury, Hari Singh
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引用次数: 0

摘要

导言:2019冠状病毒病(COVID-19)在全球范围内大流行的灾难性影响要求迅速开发疫苗来应对这种情况;然而,疫苗接种运动受到了跨地域若干社区中疫苗犹豫的挑战。了解疫苗的犹豫和接受可以帮助设计适当的疫苗接种策略。在此背景下,进行了系统回顾和荟萃分析,以估计患病率,并评估与印度人口中疫苗犹豫和接受相关的因素。方法:本系统综述按照系统综述和荟萃分析指南的首选报告项目进行报道。数据提取时间为2024年5月1日至2024年5月30日,使用PubMed、Scopus和DOAJ搜索引擎。搜索字符串中使用的关键词是“COVID-19”、“疫苗犹豫”、“疫苗接受”和“印度”。最后,我们选择了26篇文章,并在JBI-Checklist的帮助下对纳入的文章进行了质量评估。使用假设潜在异质性的随机效应模型,以95%置信区间(CI)估计合并的疫苗犹豫率和接受率。分析使用Stata Now 18 SE (Stata Corp., College Station, TX, USA)。结果:在26项研究中,14项研究是在医护人员中进行的,7项研究是在普通人群中进行的,2项研究是在孕妇中进行的,1项研究是在学龄儿童、父母和社会经济弱势群体中进行的。报告的最高疫苗接受率分别为92.74%和86.3%,卫生保健工作者和一般人群的犹豫率分别为60.8%和50%。在普通人群和卫生保健工作者之间,疫苗接受率的估计总流行率分别为66.1% (95% CI: 53%-78%)和65.9% (95% CI: 57%-74%)。在一般人群中,疫苗犹豫的总流行率估计为33% (95% CI: 20%-46%),在卫生保健工作者中为24% (95% CI: 11%-40%)。在随机效应模型中,接受度(i2> 99%)和犹豫度(i2> 98%)均存在高度异质性。结论:据报道,在印度不同地区,COVID-19疫苗的可接受性存在显著差异。因此,未来的研究需要实现可比性和概括性,因为这些变化也可能反映了研究设计、人口统计和时间框架的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coronavirus Disease 2019 Vaccine Hesitancy and Acceptance among the Indian Population: A Systematic Review and Meta-analysis.

Introduction: The disastrous impact of the coronavirus disease 2019 (COVID-19) pandemic worldwide necessitated the prompt development of vaccines to combat the situation; however, vaccination drives have been challenged by vaccine hesitancy among several communities across geographies. Understanding vaccine hesitancy and acceptance can help design appropriate vaccination strategies. With this background, a systematic review and meta-analysis were conducted to estimate the prevalence and assess the factors associated with vaccine hesitancy and acceptance among the Indian population.

Methods: This systematic review is reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The data were extracted from May 1, 2024, to May 30, 2024, using PubMed, Scopus, and DOAJ search engines. The keywords used in the search string are "COVID-19," "vaccine hesitancy," "vaccine acceptance," and "India." Finally, 26 articles were selected, and the included articles underwent a quality assessment with the help of the JBI-Checklist for cross-sectional studies. The pooled vaccine hesitancy and acceptance prevalence was estimated at a 95% confidence interval (CI) using a random effect model assuming potential heterogeneity. Analysis used Stata Now 18 SE (Stata Corp., College Station, TX, USA).

Results: Of the 26 studies, 14 studies were conducted among healthcare workers, seven studies among the general population, two studies among pregnant women and one each among school children, parents, and socioeconomically disadvantaged people. The reported highest vaccine acceptance was 92.74% and 86.3%, and hesitancy was 60.8% and 50% among healthcare workers and the general population, respectively. Between the general population and healthcare workers, the estimated pooled prevalence of vaccine acceptance is 66.1% (95% CI: 53%-78%) and 65.9% (95% CI: 57%-74%), respectively. The estimated pooled prevalence of vaccine hesitancy is 33% (95% CI: 20%-46%) among the general population and 24% (95% CI: 11%-40%) among healthcare workers. With the random effect model, high heterogeneity was observed in both acceptance (I 2 >99%) and hesitancy (I 2 >98%).

Conclusion: A significant variation in the acceptability of the COVID-19 vaccine has been reported across different regions of India. Hence, future research is needed to enable comparability and generalizability, as the variations may also reflect differences in study designs, demographics, and time frames.

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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
31
审稿时长
29 weeks
期刊介绍: JGID encourages research, education and dissemination of knowledge in the field of Infectious Diseases across the world thus promoting translational research by striking a synergy between basic science, clinical medicine and public health. The Journal intends to bring together scientists and academicians in Infectious Diseases to promote translational synergy between Laboratory Science, Clinical Medicine and Public Health. The Journal invites Original Articles, Clinical Investigations, Epidemiological Analysis, Data Protocols, Case Reports, Clinical Photographs, review articles and special commentaries. Students, Residents, Academicians, Public Health experts and scientists are all encouraged to be a part of this initiative by contributing, reviewing and promoting scientific works and science.
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