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Measuring the worldwide spread of COVID-19 using a comprehensive modeling method.
Zhou, Xiang; Ma, Xudong; Gao, Sifa; Ma, Yingying; Gao, Jianwei; Jiang, Huizhen; Zhu, Weiguo; Hong, Na; Long, Yun; Su, Longxiang.
Afiliação
  • Zhou X; Department of Critical Care Medicine, State Key Laboratory for Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
  • Ma X; Department of Medical Administration, National Health Commission of the People's Republic of China, Beijing, 100044, China.
  • Gao S; Department of Medical Administration, National Health Commission of the People's Republic of China, Beijing, 100044, China.
  • Ma Y; Digital Health China Technologies Co. Ltd, Beijing, 100080, China.
  • Gao J; Digital Health China Technologies Co. Ltd, Beijing, 100080, China.
  • Jiang H; Department of Information Management, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
  • Zhu W; Department of Information Management, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
  • Hong N; Digital Health China Technologies Co. Ltd, Beijing, 100080, China. h_na@163.com.
  • Long Y; Department of Critical Care Medicine, State Key Laboratory for Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China. ly_icu@aliyun.com.
  • Su L; Department of Critical Care Medicine, State Key Laboratory for Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China. sulongxiang@vip.163.com.
BMC Med Inform Decis Mak ; 21(Suppl 9): 384, 2023 09 15.
Article em En | MEDLINE | ID: mdl-37715170
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article