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Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing

This study aimed to estimate the attack rates, and identify the risk factors of COVID-19 infection. Based on a retrospective cohort study, we investigated 11,580 contacts of COVID-19 cases in Guangdong Province from 10 January to 15 March 2020. All contacts were tested by RT-PCR to detect their infe...

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Autores principales: Liu, Tao, Liang, Wenjia, Zhong, Haojie, He, Jianfeng, Chen, Zihui, He, Guanhao, Song, Tie, Chen, Shaowei, Wang, Ping, Li, Jialing, Lan, Yunhua, Cheng, Mingji, Huang, Jinxu, Niu, Jiwei, Xia, Liang, Xiao, Jianpeng, Hu, Jianxiong, Lin, Lifeng, Huang, Qiong, Rong, Zuhua, Deng, Aiping, Zeng, Weilin, Li, Jiansen, Li, Xing, Tan, Xiaohua, Kang, Min, Guo, Lingchuan, Zhu, Zhihua, Gong, Dexin, Chen, Guimin, Dong, Moran, Ma, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473290/
https://www.ncbi.nlm.nih.gov/pubmed/32608325
http://dx.doi.org/10.1080/22221751.2020.1787799
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author Liu, Tao
Liang, Wenjia
Zhong, Haojie
He, Jianfeng
Chen, Zihui
He, Guanhao
Song, Tie
Chen, Shaowei
Wang, Ping
Li, Jialing
Lan, Yunhua
Cheng, Mingji
Huang, Jinxu
Niu, Jiwei
Xia, Liang
Xiao, Jianpeng
Hu, Jianxiong
Lin, Lifeng
Huang, Qiong
Rong, Zuhua
Deng, Aiping
Zeng, Weilin
Li, Jiansen
Li, Xing
Tan, Xiaohua
Kang, Min
Guo, Lingchuan
Zhu, Zhihua
Gong, Dexin
Chen, Guimin
Dong, Moran
Ma, Wenjun
author_facet Liu, Tao
Liang, Wenjia
Zhong, Haojie
He, Jianfeng
Chen, Zihui
He, Guanhao
Song, Tie
Chen, Shaowei
Wang, Ping
Li, Jialing
Lan, Yunhua
Cheng, Mingji
Huang, Jinxu
Niu, Jiwei
Xia, Liang
Xiao, Jianpeng
Hu, Jianxiong
Lin, Lifeng
Huang, Qiong
Rong, Zuhua
Deng, Aiping
Zeng, Weilin
Li, Jiansen
Li, Xing
Tan, Xiaohua
Kang, Min
Guo, Lingchuan
Zhu, Zhihua
Gong, Dexin
Chen, Guimin
Dong, Moran
Ma, Wenjun
author_sort Liu, Tao
collection PubMed
description This study aimed to estimate the attack rates, and identify the risk factors of COVID-19 infection. Based on a retrospective cohort study, we investigated 11,580 contacts of COVID-19 cases in Guangdong Province from 10 January to 15 March 2020. All contacts were tested by RT-PCR to detect their infection of SARS-COV-2. Attack rates by characteristics were calculated. Logistic regression was used to estimate the risk factors of infection for COVID-19. A total of 515 of 11,580 contacts were identified to be infected with SARS-COV-2. Compared to young adults aged 20–29 years, the infected risk was higher in children (RR: 2.59, 95%CI: 1.79–3.76), and old people aged 60–69 years (RR: 5.29, 95%CI: 3.76–7.46). Females also had higher infected risk (RR: 1.66, 95%CI: 1.39–2.00). People having close relationship with index cases encountered higher infected risk (RR for spouse: 20.68, 95%CI: 14.28–29.95; RR for non-spouse family members: 9.55, 95%CI: 6.73–13.55; RR for close relatives: 5.90, 95%CI: 4.06–8.59). Moreover, contacts exposed to index case in symptomatic period (RR: 2.15, 95%CI: 1.67–2.79), with critically severe symptoms (RR: 1.61, 95%CI: 1.00–2.57), with symptoms of dizzy (RR: 1.58, 95%CI: 1.08–2.30), myalgia (RR: 1.49, 95%CI: 1.15–1.94), and chill (RR: 1.42, 95%CI: 1.05–1.92) had higher infected risks. Children, old people, females, and family members are susceptible of COVID-19 infection, while index cases in the incubation period had lower contagiousness. Our findings will be helpful for developing targeted prevention and control strategies to combat the worldwide pandemic.
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spelling pubmed-74732902020-09-15 Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing Liu, Tao Liang, Wenjia Zhong, Haojie He, Jianfeng Chen, Zihui He, Guanhao Song, Tie Chen, Shaowei Wang, Ping Li, Jialing Lan, Yunhua Cheng, Mingji Huang, Jinxu Niu, Jiwei Xia, Liang Xiao, Jianpeng Hu, Jianxiong Lin, Lifeng Huang, Qiong Rong, Zuhua Deng, Aiping Zeng, Weilin Li, Jiansen Li, Xing Tan, Xiaohua Kang, Min Guo, Lingchuan Zhu, Zhihua Gong, Dexin Chen, Guimin Dong, Moran Ma, Wenjun Emerg Microbes Infect Articles This study aimed to estimate the attack rates, and identify the risk factors of COVID-19 infection. Based on a retrospective cohort study, we investigated 11,580 contacts of COVID-19 cases in Guangdong Province from 10 January to 15 March 2020. All contacts were tested by RT-PCR to detect their infection of SARS-COV-2. Attack rates by characteristics were calculated. Logistic regression was used to estimate the risk factors of infection for COVID-19. A total of 515 of 11,580 contacts were identified to be infected with SARS-COV-2. Compared to young adults aged 20–29 years, the infected risk was higher in children (RR: 2.59, 95%CI: 1.79–3.76), and old people aged 60–69 years (RR: 5.29, 95%CI: 3.76–7.46). Females also had higher infected risk (RR: 1.66, 95%CI: 1.39–2.00). People having close relationship with index cases encountered higher infected risk (RR for spouse: 20.68, 95%CI: 14.28–29.95; RR for non-spouse family members: 9.55, 95%CI: 6.73–13.55; RR for close relatives: 5.90, 95%CI: 4.06–8.59). Moreover, contacts exposed to index case in symptomatic period (RR: 2.15, 95%CI: 1.67–2.79), with critically severe symptoms (RR: 1.61, 95%CI: 1.00–2.57), with symptoms of dizzy (RR: 1.58, 95%CI: 1.08–2.30), myalgia (RR: 1.49, 95%CI: 1.15–1.94), and chill (RR: 1.42, 95%CI: 1.05–1.92) had higher infected risks. Children, old people, females, and family members are susceptible of COVID-19 infection, while index cases in the incubation period had lower contagiousness. Our findings will be helpful for developing targeted prevention and control strategies to combat the worldwide pandemic. Taylor & Francis 2020-07-07 /pmc/articles/PMC7473290/ /pubmed/32608325 http://dx.doi.org/10.1080/22221751.2020.1787799 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Liu, Tao
Liang, Wenjia
Zhong, Haojie
He, Jianfeng
Chen, Zihui
He, Guanhao
Song, Tie
Chen, Shaowei
Wang, Ping
Li, Jialing
Lan, Yunhua
Cheng, Mingji
Huang, Jinxu
Niu, Jiwei
Xia, Liang
Xiao, Jianpeng
Hu, Jianxiong
Lin, Lifeng
Huang, Qiong
Rong, Zuhua
Deng, Aiping
Zeng, Weilin
Li, Jiansen
Li, Xing
Tan, Xiaohua
Kang, Min
Guo, Lingchuan
Zhu, Zhihua
Gong, Dexin
Chen, Guimin
Dong, Moran
Ma, Wenjun
Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing
title Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing
title_full Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing
title_fullStr Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing
title_full_unstemmed Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing
title_short Risk factors associated with COVID-19 infection: a retrospective cohort study based on contacts tracing
title_sort risk factors associated with covid-19 infection: a retrospective cohort study based on contacts tracing
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473290/
https://www.ncbi.nlm.nih.gov/pubmed/32608325
http://dx.doi.org/10.1080/22221751.2020.1787799
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