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Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis

BACKGROUND: A rapidly increasing number of serological surveys for antibodies to SARS-CoV-2 have been reported worldwide. We aimed to synthesise, combine, and assess this large corpus of data. METHODS: In this systematic review and meta-analysis, we searched PubMed, Embase, Web of Science, and five...

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Autores principales: Chen, Xinhua, Chen, Zhiyuan, Azman, Andrew S, Deng, Xiaowei, Sun, Ruijia, Zhao, Zeyao, Zheng, Nan, Chen, Xinghui, Lu, Wanying, Zhuang, Tingyu, Yang, Juan, Viboud, Cecile, Ajelli, Marco, Leung, Daniel T, Yu, Hongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049592/
https://www.ncbi.nlm.nih.gov/pubmed/33705690
http://dx.doi.org/10.1016/S2214-109X(21)00026-7
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author Chen, Xinhua
Chen, Zhiyuan
Azman, Andrew S
Deng, Xiaowei
Sun, Ruijia
Zhao, Zeyao
Zheng, Nan
Chen, Xinghui
Lu, Wanying
Zhuang, Tingyu
Yang, Juan
Viboud, Cecile
Ajelli, Marco
Leung, Daniel T
Yu, Hongjie
author_facet Chen, Xinhua
Chen, Zhiyuan
Azman, Andrew S
Deng, Xiaowei
Sun, Ruijia
Zhao, Zeyao
Zheng, Nan
Chen, Xinghui
Lu, Wanying
Zhuang, Tingyu
Yang, Juan
Viboud, Cecile
Ajelli, Marco
Leung, Daniel T
Yu, Hongjie
author_sort Chen, Xinhua
collection PubMed
description BACKGROUND: A rapidly increasing number of serological surveys for antibodies to SARS-CoV-2 have been reported worldwide. We aimed to synthesise, combine, and assess this large corpus of data. METHODS: In this systematic review and meta-analysis, we searched PubMed, Embase, Web of Science, and five preprint servers for articles published in English between Dec 1, 2019, and Dec 22, 2020. Studies evaluating SARS-CoV-2 seroprevalence in humans after the first identified case in the area were included. Studies that only reported serological responses among patients with COVID-19, those using known infection status samples, or any animal experiments were all excluded. All data used for analysis were extracted from included papers. Study quality was assessed using a standardised scale. We estimated age-specific, sex-specific, and race-specific seroprevalence by WHO regions and subpopulations with different levels of exposures, and the ratio of serology-identified infections to virologically confirmed cases. This study is registered with PROSPERO, CRD42020198253. FINDINGS: 16 506 studies were identified in the initial search, 2523 were assessed for eligibility after removal of duplicates and inappropriate titles and abstracts, and 404 serological studies (representing tests in 5 168 360 individuals) were included in the meta-analysis. In the 82 studies of higher quality, close contacts (18·0%, 95% CI 15·7–20·3) and high-risk health-care workers (17·1%, 9·9–24·4) had higher seroprevalence than did low-risk health-care workers (4·2%, 1·5–6·9) and the general population (8·0%, 6·8–9·2). The heterogeneity between included studies was high, with an overall I(2) of 99·9% (p<0·0001). Seroprevalence varied greatly across WHO regions, with the lowest seroprevalence of general populations in the Western Pacific region (1·7%, 95% CI 0·0–5·0). The pooled infection-to-case ratio was similar between the region of the Americas (6·9, 95% CI 2·7–17·3) and the European region (8·4, 6·5–10·7), but higher in India (56·5, 28·5–112·0), the only country in the South-East Asia region with data. INTERPRETATION: Antibody-mediated herd immunity is far from being reached in most settings. Estimates of the ratio of serologically detected infections per virologically confirmed cases across WHO regions can help provide insights into the true proportion of the population infected from routine confirmation data. FUNDING: National Science Fund for Distinguished Young Scholars, Key Emergency Project of Shanghai Science and Technology Committee, Program of Shanghai Academic/Technology Research Leader, National Science and Technology Major project of China, the US National Institutes of Health. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.
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spelling pubmed-80495922021-04-16 Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis Chen, Xinhua Chen, Zhiyuan Azman, Andrew S Deng, Xiaowei Sun, Ruijia Zhao, Zeyao Zheng, Nan Chen, Xinghui Lu, Wanying Zhuang, Tingyu Yang, Juan Viboud, Cecile Ajelli, Marco Leung, Daniel T Yu, Hongjie Lancet Glob Health Articles BACKGROUND: A rapidly increasing number of serological surveys for antibodies to SARS-CoV-2 have been reported worldwide. We aimed to synthesise, combine, and assess this large corpus of data. METHODS: In this systematic review and meta-analysis, we searched PubMed, Embase, Web of Science, and five preprint servers for articles published in English between Dec 1, 2019, and Dec 22, 2020. Studies evaluating SARS-CoV-2 seroprevalence in humans after the first identified case in the area were included. Studies that only reported serological responses among patients with COVID-19, those using known infection status samples, or any animal experiments were all excluded. All data used for analysis were extracted from included papers. Study quality was assessed using a standardised scale. We estimated age-specific, sex-specific, and race-specific seroprevalence by WHO regions and subpopulations with different levels of exposures, and the ratio of serology-identified infections to virologically confirmed cases. This study is registered with PROSPERO, CRD42020198253. FINDINGS: 16 506 studies were identified in the initial search, 2523 were assessed for eligibility after removal of duplicates and inappropriate titles and abstracts, and 404 serological studies (representing tests in 5 168 360 individuals) were included in the meta-analysis. In the 82 studies of higher quality, close contacts (18·0%, 95% CI 15·7–20·3) and high-risk health-care workers (17·1%, 9·9–24·4) had higher seroprevalence than did low-risk health-care workers (4·2%, 1·5–6·9) and the general population (8·0%, 6·8–9·2). The heterogeneity between included studies was high, with an overall I(2) of 99·9% (p<0·0001). Seroprevalence varied greatly across WHO regions, with the lowest seroprevalence of general populations in the Western Pacific region (1·7%, 95% CI 0·0–5·0). The pooled infection-to-case ratio was similar between the region of the Americas (6·9, 95% CI 2·7–17·3) and the European region (8·4, 6·5–10·7), but higher in India (56·5, 28·5–112·0), the only country in the South-East Asia region with data. INTERPRETATION: Antibody-mediated herd immunity is far from being reached in most settings. Estimates of the ratio of serologically detected infections per virologically confirmed cases across WHO regions can help provide insights into the true proportion of the population infected from routine confirmation data. FUNDING: National Science Fund for Distinguished Young Scholars, Key Emergency Project of Shanghai Science and Technology Committee, Program of Shanghai Academic/Technology Research Leader, National Science and Technology Major project of China, the US National Institutes of Health. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section. The Author(s). Published by Elsevier Ltd. 2021-05 2021-03-08 /pmc/articles/PMC8049592/ /pubmed/33705690 http://dx.doi.org/10.1016/S2214-109X(21)00026-7 Text en © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Articles
Chen, Xinhua
Chen, Zhiyuan
Azman, Andrew S
Deng, Xiaowei
Sun, Ruijia
Zhao, Zeyao
Zheng, Nan
Chen, Xinghui
Lu, Wanying
Zhuang, Tingyu
Yang, Juan
Viboud, Cecile
Ajelli, Marco
Leung, Daniel T
Yu, Hongjie
Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
title Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
title_full Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
title_fullStr Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
title_full_unstemmed Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
title_short Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
title_sort serological evidence of human infection with sars-cov-2: a systematic review and meta-analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049592/
https://www.ncbi.nlm.nih.gov/pubmed/33705690
http://dx.doi.org/10.1016/S2214-109X(21)00026-7
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