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ABSTRACT: Background
Pandemics can lead to mental health problems such as depression. This meta-analysis of meta-analyses aimed to estimate the precise prevalence of depression during the COVID-19 pandemic.Methods
Web of Science, PubMed, Scopus, and Embase were searched for published meta-analyses using relevant keywords, such as depression, prevalence, COVID-19, and meta-analysis up to March 18, 2024 according to the PRISMA guidelines. Relevant journals as well as the search engine Google Scholar were manually searched to discover more articles. The AMSTAR tool was used for quality assessment. A random-effects model was used for the analysis. All analyses were conducted using the STATA 17 software.Results
Of 535 records, 82 meta-analyses were included. The results showed tha
SUBMITTER: Mohseni M
PROVIDER: S-EPMC11664853 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature