Ontology highlight
ABSTRACT:
SUBMITTER: Liu T
PROVIDER: S-EPMC7473290 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Liu Tao T Liang Wenjia W Zhong Haojie H He Jianfeng J Chen Zihui Z He Guanhao G Song Tie T Chen Shaowei S Wang Ping P Li Jialing J Lan Yunhua Y Cheng Mingji M Huang Jinxu J Niu Jiwei J Xia Liang L Xiao Jianpeng J Hu Jianxiong J Lin Lifeng L Huang Qiong Q Rong Zuhua Z Deng Aiping A Zeng Weilin W Li Jiansen J Li Xing X Tan Xiaohua X Kang Min M Guo Lingchuan L Zhu Zhihua Z Gong Dexin D Chen Guimin G Dong Moran M Ma Wenjun W
Emerging microbes & infections 20201201 1
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 identi ...[more]