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Mobile Phone-Based Population Flow Data for the COVID-19 Outbreak in Mainland China.
Lu, Xin; Tan, Jing; Cao, Ziqiang; Xiong, Yiquan; Qin, Shuo; Wang, Tong; Liu, Chunrong; Huang, Shiyao; Zhang, Wei; Marczak, Laurie B; Hay, Simon I; Thabane, Lehana; Guyatt, Gordon H; Sun, Xin.
Afiliação
  • Lu X; College of Systems Engineering, National University of Defense Technology, Changsha, China.
  • Tan J; Department of Global Public Health, Karolinska Institute, Stockholm, Sweden.
  • Cao Z; Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
  • Xiong Y; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
  • Qin S; College of Systems Engineering, National University of Defense Technology, Changsha, China.
  • Wang T; Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
  • Liu C; College of Systems Engineering, National University of Defense Technology, Changsha, China.
  • Huang S; College of Systems Engineering, National University of Defense Technology, Changsha, China.
  • Zhang W; Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
  • Marczak LB; Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
  • Hay SI; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
  • Thabane L; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Guyatt GH; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Sun X; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Health Data Sci ; 2021: 9796431, 2021.
Article em En | MEDLINE | ID: mdl-36405355

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article