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Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted.
Zhao, Yining; O'Dell, Samantha; Yang, Xiaohan; Liao, Jingyi; Yang, Kexin; Fumanelli, Laura; Zhou, Tao; Lv, Jiancheng; Ajelli, Marco; Liu, Quan-Hui.
Afiliação
  • Zhao Y; College of Computer Science, Sichuan University, Chengdu, China.
  • O'Dell S; Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
  • Yang X; Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA.
  • Liao J; Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
  • Yang K; College of Computer Science, Sichuan University, Chengdu, China.
  • Fumanelli L; Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
  • Zhou T; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.
  • Lv J; College of Computer Science, Sichuan University, Chengdu, China.
  • Ajelli M; Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
  • Liu QH; College of Computer Science, Sichuan University, Chengdu, China. quanhuiliu@scu.edu.cn.
BMC Infect Dis ; 22(1): 483, 2022 May 21.
Article em En | MEDLINE | ID: mdl-35597895
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article