How does the SARS-CoV-2 reinfection rate change over time? The global evidence from systematic review and meta-analysis
© 2024. The Author(s)..
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 |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:24 |
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| Enthalten in: |
BMC infectious diseases - 24(2024), 1 vom: 21. März, Seite 339 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chen, Ying [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 25.03.2024 Date Revised 25.03.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12879-024-09225-z |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM370045998 |
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| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Meta-Analysis | |
| 650 | 4 | |a Systematic Review | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Meta-analysis | |
| 650 | 4 | |a Meta-regression | |
| 650 | 4 | |a SARS-CoV-2 | |
| 650 | 4 | |a Time-varying reinfection rate | |
| 700 | 1 | |a Zhu, Wenhui |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Xinyue |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Miaoshuang |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Haiping |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Mengyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Wei, Rongjie |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Huadong |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Changhong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Tao |e verfasserin |4 aut | |
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