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Infection rate and factors affecting close contacts of COVID-19 cases: A systematic review.


ABSTRACT:

Objective

Contact tracing plays an essential role in mitigating the impact of an epidemic. During the COVID-19 pandemic, studies of those who have been in close contact with confirmed cases offer critical insights to understand the epidemiological characteristics of SARS-CoV-2 better. This study conducts a meta-analysis of existing studies' infection rates and affecting factors.

Methods

We searched PubMed, Web of Science and CNKI from the inception to April 30 2022 to identify systematic reviews. Two reviewers independently extracted the data and assessed risk of bias. Meta-analyses were conducted to calculate pooled estimates by using Stata/SE 15.1 software.

Results

There were 47 studies in the meta-analysis. Among COVID-19 close contacts, older age (RR = 1.94, 95% CI: 1.70, 2.21), contacts in households (RR = 2.83, 95% CI: 2.20, 3.65), and people in close contact with symptomatic infections (RR = 3.62, 95% CI: 1.88, 6.96) were associated with higher infection rates.

Conclusion

On average, each primary infection corresponded to 5.8 close contacts. Among COVID-19 close contacts, older age and contacts in households were associated with higher infection rates, and people in close contact with symptomatic infections had three times higher risk of infection compared to people in close contact with asymptomatic infections. In general, there are significantly more studies from China about close contacts, and the infection rate among close contacts was lower compared to other countries.

SUBMITTER: Li Y 

PROVIDER: S-EPMC9877962 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

Infection rate and factors affecting close contacts of COVID-19 cases: A systematic review.

Li Yunxuan Y   Tan Jing J   Tan Suoyi S   Zhou Yilong Y   Sai Bin B   Dai Bitao B   Lu Xin X  

Journal of evidence-based medicine 20221213 4


<h4>Objective</h4>Contact tracing plays an essential role in mitigating the impact of an epidemic. During the COVID-19 pandemic, studies of those who have been in close contact with confirmed cases offer critical insights to understand the epidemiological characteristics of SARS-CoV-2 better. This study conducts a meta-analysis of existing studies' infection rates and affecting factors.<h4>Methods</h4>We searched PubMed, Web of Science and CNKI from the inception to April 30 2022 to identify sys  ...[more]

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