A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups.

Zhao, Chen; Zhang, Jialu; Hou, Xiaoyue; Yeung, Chi Ho; Zeng, An

Zhao, Chen; Zhang, Jialu; Hou, Xiaoyue; Yeung, Chi Ho; Zeng, An.

Afiliação

Zhao C; College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, P.R. China.
Zhang J; Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Shijiazhuang, P.R. China.
Hou X; Hebei Key Laboratory of Network and Information Security, Shijiazhuang, P.R. China.
Yeung CH; College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, P.R. China.
Zeng A; Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Shijiazhuang, P.R. China.

PLoS Comput Biol ; 19(4): e1011083, 2023 04.

Article em En | MEDLINE | ID: mdl-37104532

Assuntos

COVID-19; Humanos; Idoso; COVID-19/epidemiologia; COVID-19/prevenção & controle; SARS-CoV-2; Big Data; Ocupações; China/epidemiologia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Aged / Humans País/Região como assunto: Asia Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

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