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The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.
Liu, Quan-Hui; Bento, Ana I; Yang, Kexin; Zhang, Hang; Yang, Xiaohan; Merler, Stefano; Vespignani, Alessandro; Lv, Jiancheng; Yu, Hongjie; Zhang, Wei; Zhou, Tao; Ajelli, Marco.
Afiliación
  • Liu QH; College of Computer Science, Sichuan University, Chengdu, China.
  • Bento AI; Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, United States of America.
  • Yang K; College of Computer Science, Sichuan University, Chengdu, China.
  • Zhang H; College of Computer Science, Sichuan University, Chengdu, China.
  • Yang X; Department of Engineering and Computer Science, New York University Shanghai, Shanghai, China.
  • Merler S; Institution of New Economic Development, Chengdu, China.
  • Vespignani A; Bruno Kessler Foundation, Trento, Italy.
  • Lv J; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts United States of America.
  • Yu H; ISI Foundation, Turin, Italy.
  • Zhang W; College of Computer Science, Sichuan University, Chengdu, China.
  • Zhou T; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
  • Ajelli M; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
PLoS Comput Biol ; 16(12): e1008467, 2020 12.
Article en En | MEDLINE | ID: mdl-33370263
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Brotes de Enfermedades / COVID-19 Tipo de estudio: Screening_studies Límite: Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Brotes de Enfermedades / COVID-19 Tipo de estudio: Screening_studies Límite: Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China