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

BMC Infect Dis. 2024 Mar 21;24(1):339. doi: 10.1186/s12879-024-09225-z.

Abstract

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.

Keywords: COVID-19; Meta-analysis; Meta-regression; SARS-CoV-2; Time-varying reinfection rate.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Humans
  • Reinfection / epidemiology
  • SARS-CoV-2*

Supplementary concepts

  • SARS-CoV-2 variants