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COVID-19 vaccine hesitancy in Turkey: A systematic review and meta-analysis.
- Source :
-
Epidemiology and infection [Epidemiol Infect] 2023 Nov 24; Vol. 151, pp. e199. Date of Electronic Publication: 2023 Nov 24. - Publication Year :
- 2023
-
Abstract
- This systematic review and meta-analysis aims to estimate the prevalence of coronavirus disease 2019 (COVID-19) vaccine hesitancy in Turkey, which can aid future health policies and strategies. A comprehensive search was conducted on various databases using keywords related to COVID-19 vaccine hesitancy in Turkey. Quality assessment was performed using Joanna Briggs Institute (JBI) checklist for prevalence studies. Data extraction was conducted. The random effect model (DerSimonian and Laird method) was used in pooled prevalence data analysis (95% confidence interval [CI]). A total of 1,072 articles were identified. After removing duplicates and excluding articles, 61 articles remained for bias assessment. Among these, 19 articles with low risk of bias were included in the review and meta-analysis. Total population included in the analysis was 15,164, vaccine hesitancy was 30.5% (95% Cl: 24.3-36.8%). Prevalence of the vaccine hesitancy was found to be 39.8% (95% Cl: 31.4-48.2%) in studies conducted before the initiation of vaccination, while in studies conducted after the commencement of vaccination, hesitancy was 20.4% (95% Cl: 12.9-28%). We suggest conducting high-quality studies in different populations to understand the level of vaccine hesitancy, as many of the previous studies have mainly focused on healthcare workers and students, and rest were community-based studies, which have generally shown high bias. Also, we suggest that early vaccination can reduce vaccine hesitancy.
- Subjects :
- Humans
Data Analysis
Databases, Factual
Turkey epidemiology
Vaccination Hesitancy psychology
Vaccination Hesitancy statistics & numerical data
COVID-19 epidemiology
COVID-19 prevention & control
COVID-19 Vaccines therapeutic use
Vaccination methods
Vaccination psychology
Vaccination statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1469-4409
- Volume :
- 151
- Database :
- MEDLINE
- Journal :
- Epidemiology and infection
- Publication Type :
- Academic Journal
- Accession number :
- 37997650
- Full Text :
- https://doi.org/10.1017/S0950268823001875