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Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study.
Wang, Hao; Li, Tangjuan; Gao, Huan; Huang, Chenxi; Tang, Biao; Tang, Sanyi; Cheke, Robert A; Zhou, Weike.
Afiliación
  • Wang H; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, PR China.
  • Li T; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, PR China.
  • Gao H; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, PR China.
  • Huang C; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, PR China.
  • Tang B; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, PR China.
  • Tang S; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, PR China.
  • Cheke RA; Natural Resources Institute, University of Greenwich at Medway, Central Avenue, Chatham Maritime, Kent, ME4 4TB, UK.
  • Zhou W; School of Mathematics, Northwest University, Xi'an, 710127, PR China. wkzhou@snnu.edu.cn.
BMC Infect Dis ; 23(1): 331, 2023 May 16.
Article en En | MEDLINE | ID: mdl-37194011
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2023 Tipo del documento: Article