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A network meta-analysis of secondary attack rates of COVID-19 in different contact environments
As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative risk of secondary attack rates (SARs) of COVID-19...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523971/ https://www.ncbi.nlm.nih.gov/pubmed/35686655 http://dx.doi.org/10.1017/S0950268821002223 |
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author | Zhao, Xunying Shen, Ziqiong Sun, Litao Cheng, Long Wang, Mengyuan Zhang, Xiaofan Xu, Bin Tian, Lulu Miao, Yunqi Wu, Xueyao Zou, Kun Li, Jiayuan |
author_facet | Zhao, Xunying Shen, Ziqiong Sun, Litao Cheng, Long Wang, Mengyuan Zhang, Xiaofan Xu, Bin Tian, Lulu Miao, Yunqi Wu, Xueyao Zou, Kun Li, Jiayuan |
author_sort | Zhao, Xunying |
collection | PubMed |
description | As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative risk of secondary attack rates (SARs) of COVID-19 in different contact environments. Until 26 July 2021, epidemiological studies and cluster epidemic reports of COVID-19 were retrieved from SCI, Embase, PubMed, CNKI, Wanfang and CBM in English and Chinese, respectively. Relative risks (RRs) were estimated in pairwise comparisons of SARs between different contact environments using the frequentist NMA framework, and the ranking of risks in these environments was calculated using the surface under the cumulative ranking curve (SUCRA). Subgroup analysis was performed by regions. Thirty-two studies with 68 260 participants were identified. Compared with meal or gathering, transportation (RR 10.55, 95% confidence interval (CI) 1.43–77.85), medical care (RR 11.68, 95% CI 1.58–86.61) and work or study places (RR 10.15, 95% CI 1.40–73.38) had lower risk ratios for SARs. Overall, the SUCRA rankings from the highest to the lowest were household (95.3%), meal or gathering (81.4%), public places (58.9%), daily conversation (50.1%), transportation (30.8%), medical care (18.2%) and work or study places (15.3%). Household SARs were significantly higher than other environments in the subgroup of mainland China and sensitive analysis without small sample studies (<100). In light of the risks, stratified personal protection and public health measures need to be in place accordingly, so as close contacts categorising and management. |
format | Online Article Text |
id | pubmed-8523971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85239712021-10-19 A network meta-analysis of secondary attack rates of COVID-19 in different contact environments Zhao, Xunying Shen, Ziqiong Sun, Litao Cheng, Long Wang, Mengyuan Zhang, Xiaofan Xu, Bin Tian, Lulu Miao, Yunqi Wu, Xueyao Zou, Kun Li, Jiayuan Epidemiol Infect Review As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative risk of secondary attack rates (SARs) of COVID-19 in different contact environments. Until 26 July 2021, epidemiological studies and cluster epidemic reports of COVID-19 were retrieved from SCI, Embase, PubMed, CNKI, Wanfang and CBM in English and Chinese, respectively. Relative risks (RRs) were estimated in pairwise comparisons of SARs between different contact environments using the frequentist NMA framework, and the ranking of risks in these environments was calculated using the surface under the cumulative ranking curve (SUCRA). Subgroup analysis was performed by regions. Thirty-two studies with 68 260 participants were identified. Compared with meal or gathering, transportation (RR 10.55, 95% confidence interval (CI) 1.43–77.85), medical care (RR 11.68, 95% CI 1.58–86.61) and work or study places (RR 10.15, 95% CI 1.40–73.38) had lower risk ratios for SARs. Overall, the SUCRA rankings from the highest to the lowest were household (95.3%), meal or gathering (81.4%), public places (58.9%), daily conversation (50.1%), transportation (30.8%), medical care (18.2%) and work or study places (15.3%). Household SARs were significantly higher than other environments in the subgroup of mainland China and sensitive analysis without small sample studies (<100). In light of the risks, stratified personal protection and public health measures need to be in place accordingly, so as close contacts categorising and management. Cambridge University Press 2021-10-05 /pmc/articles/PMC8523971/ /pubmed/35686655 http://dx.doi.org/10.1017/S0950268821002223 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Review Zhao, Xunying Shen, Ziqiong Sun, Litao Cheng, Long Wang, Mengyuan Zhang, Xiaofan Xu, Bin Tian, Lulu Miao, Yunqi Wu, Xueyao Zou, Kun Li, Jiayuan A network meta-analysis of secondary attack rates of COVID-19 in different contact environments |
title | A network meta-analysis of secondary attack rates of COVID-19 in different contact environments |
title_full | A network meta-analysis of secondary attack rates of COVID-19 in different contact environments |
title_fullStr | A network meta-analysis of secondary attack rates of COVID-19 in different contact environments |
title_full_unstemmed | A network meta-analysis of secondary attack rates of COVID-19 in different contact environments |
title_short | A network meta-analysis of secondary attack rates of COVID-19 in different contact environments |
title_sort | network meta-analysis of secondary attack rates of covid-19 in different contact environments |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523971/ https://www.ncbi.nlm.nih.gov/pubmed/35686655 http://dx.doi.org/10.1017/S0950268821002223 |
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