PDF(Pubmed)
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.
RESULTS: 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.
CONCLUSIONS: 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.
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.
RESULTS: 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.
CONCLUSIONS: 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.
摘要：
背景：各国SARS-CoV-2再感染报告的数量显着增加。然而,再感染率随时间的趋势尚不清楚。
方法：我们搜索了PubMed，WebofScience,Medline,Embase,Cochrane中央控制试验登记册,中国国家知识基础设施，和万方进行队列研究，病例对照研究，和截至2023年3月16日的横断面研究，对全球SARS-CoV-2再感染率进行荟萃分析。亚组分析进行年龄，国家,研究类型,和研究人口，和随时间变化的SARS-CoV-2的再感染率使用元回归进行估计。使用纽卡斯尔-渥太华量表和乔安娜·布里格斯研究所的关键评估工具评估了偏见的风险。
结果：共纳入55项研究，涉及111,846例SARS-CoV-2再感染病例。合并的SARS-CoV-2再感染率为0.94%(95%CI:0.65-1.35%)。在亚组分析中，再感染变异的合并再感染率差异有统计学意义，和研究类型(P<0.05)。基于元回归，再感染率随时间波动。
结论：Meta回归分析发现，随着时间的推移，总体再感染率先上升后下降，随后是一段时间的趋于平稳，然后是上升然后下降的趋势，但第二波再感染率的峰值低于第一波。SARS-CoV-2有再感染的风险，Omicron变体的再感染率高于其他目前已知的变体。这项研究的结果可以帮助指导公共卫生措施和疫苗接种策略，以应对2019年冠状病毒病（COVID-19）大流行。
方法：我们搜索了PubMed，WebofScience,Medline,Embase,Cochrane中央控制试验登记册,中国国家知识基础设施，和万方进行队列研究，病例对照研究，和截至2023年3月16日的横断面研究，对全球SARS-CoV-2再感染率进行荟萃分析。亚组分析进行年龄，国家,研究类型,和研究人口，和随时间变化的SARS-CoV-2的再感染率使用元回归进行估计。使用纽卡斯尔-渥太华量表和乔安娜·布里格斯研究所的关键评估工具评估了偏见的风险。
结果：共纳入55项研究，涉及111,846例SARS-CoV-2再感染病例。合并的SARS-CoV-2再感染率为0.94%(95%CI:0.65-1.35%)。在亚组分析中，再感染变异的合并再感染率差异有统计学意义，和研究类型(P<0.05)。基于元回归，再感染率随时间波动。
结论：Meta回归分析发现，随着时间的推移，总体再感染率先上升后下降，随后是一段时间的趋于平稳，然后是上升然后下降的趋势，但第二波再感染率的峰值低于第一波。SARS-CoV-2有再感染的风险，Omicron变体的再感染率高于其他目前已知的变体。这项研究的结果可以帮助指导公共卫生措施和疫苗接种策略，以应对2019年冠状病毒病（COVID-19）大流行。
