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Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China.
Tian, Ting; Zhang, Jingwen; Lin, Shiyun; Jiang, Yukang; Tan, Jianbin; Li, Zhongfei; Wang, Xueqin.
Afiliación
  • Tian T; School of Mathematics, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Zhang J; School of Mathematics, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Lin S; Center for Statistical Science, Peking University, Beijing, People's Republic of China.
  • Jiang Y; School of Mathematics, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Tan J; School of Mathematics, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Li Z; School of Management, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Wang X; School of Statistics, Capital University of Economics and Business, Beijing, People's Republic of China.
J Appl Stat ; 50(11-12): 2547-2560, 2023.
Article en En | MEDLINE | ID: mdl-37529566
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Appl Stat Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Appl Stat Año: 2023 Tipo del documento: Article