How does the SARS-CoV-2 reinfection rate change over time? The global evidence from systematic review and meta-analysis

Background There is a significant increase in the number of SARS-CoV-2 reinfection reports in various countries. However, the trend of reinfection rate over time is not clear. Methods We searched PubMed, Web of Science, Medline, Embase, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, and Wanfang for cohort studies, case-control studies, and cross-sectional studies up to March 16, 2023, to conduct a meta-analysis of global SARS-CoV-2 reinfection rate. Subgroup analyses were performed for age, country, study type, and study population, and time-varying reinfection rates of SARS-CoV-2 were estimated using meta-regression. The risk of bias was assessed using the Newcastle-Ottawa Scale and the Joanna Briggs Institute critical appraisal tool. Result A total of 55 studies involving 111,846 cases of SARS-CoV-2 reinfection were included. The pooled SARS-CoV-2 reinfection rate was 0.94% (95% CI: 0.65 -1.35%). In the subgroup analyses, there were statistically significant differences in the pooled reinfection rates by reinfection variant, and study type (P < 0.05). Based on meta-regression, the reinfection rate fluctuated with time. Conclusion Meta-regression analysis found that the overall reinfection rate increased and then decreased over time, followed by a period of plateauing and then a trend of increasing and then decreasing, but the peak of the second wave of reinfection rate was lower than the first wave. SARS-CoV-2 is at risk of reinfection and the Omicron variant has a higher reinfection rate than other currently known variants. The results of this study could help guide public health measures and vaccination strategies in response to the Coronavirus Disease 2019 (COVID-19) pandemic..

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

BMC infectious diseases - 24(2024), 1 vom: 21. März

Sprache:

Englisch

Beteiligte Personen:

Chen, Ying [VerfasserIn]
Zhu, Wenhui [VerfasserIn]
Han, Xinyue [VerfasserIn]
Chen, Miaoshuang [VerfasserIn]
Li, Xin [VerfasserIn]
Huang, Haiping [VerfasserIn]
Zhang, Mengyuan [VerfasserIn]
Wei, Rongjie [VerfasserIn]
Zhang, Huadong [VerfasserIn]
Yang, Changhong [VerfasserIn]
Zhang, Tao [VerfasserIn]

Links:

Volltext [kostenfrei]

BKL:

44.00

Themen:

COVID-19
Meta-analysis
Meta-regression
SARS-CoV-2
Time-varying reinfection rate

Anmerkungen:

© The Author(s) 2024

doi:

10.1186/s12879-024-09225-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR05524226X