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Meta-analysis of SARS-CoV-2 reinfection rate in the world
Chinese Journal of Disease Control and Prevention ; 27(2):127-135, 2023.
Article in Chinese | Scopus | ID: covidwho-2299291
ABSTRACT
Objective We aimed to review the data available to explore prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection in the real world. Methods We searched observational cohort studies and case-control studies that described the SARS-CoV-2 reinfections in PubMed, Embase, Web of Science, CNKI and WanFang Data from inception to 11 Dec 2022. Studies, data extracted and quality assessed were selected according to strict inclusion exclusion criteria. All analyses were using Stata version 16.0. Results A total of 24 studies were included, involving 78 635 cases of SARS-CoV-2 reinfection and 6 616 869 cases of SARS-CoV-2 primary infection. In cases after the primary SARS-CoV-2 infection, the pooled prevalence of reinfection was 2.06% (95% CI 1.73% – 2.40%). Compared with other age groups, the secondary infection rate was higher in those aged 40 – < 50 years 2.97% (95% CI −1. 20%–7 14%) and 50–<60 years 2. 32% (95% CI –0.74%–5.38%). In vaccination status group, the pooled prevalence was 5.47% (95% CI 1.99%–8.95%) in unvaccinated cases, 1.85% (95% CI 1.63%–2.08%) for those received partial COVID-19 vaccination, and 1.11% (95% CI 0.34%–1.89%) for those received fully vaccination. In addition, the pooled prevalence of SARS-CoV-2 reinfection was 6.02% (95% CI 5.67%–6. 37%) in the health care workers. Conclusions There is a risk of SARS-CoV-2 reinfection, but the results of this global real-world meta-analysis showed that the rate of reinfection is not high. It is recommended to scientifically understand the risk of SARS-CoV-2 reinfection, strengthen public health education, maintain healthy habits, and reduce the risk of SARS-CoV-2 reinfection. © 2023, Publication Centre of Anhui Medical University. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Reviews Language: Chinese Journal: Chinese Journal of Disease Control and Prevention Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Reviews Language: Chinese Journal: Chinese Journal of Disease Control and Prevention Year: 2023 Document Type: Article