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Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong.
Cheng, Weibin; Zhou, Hanchu; Ye, Yang; Chen, Yifan; Jing, Fengshi; Cao, Zhidong; Zeng, Daniel Dajun; Zhang, Qingpeng.
Afiliación
  • Cheng W; Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou 510317, China.
  • Zhou H; School of Data Science, City University of Hong Kong, Hong Kong 999077, China.
  • Ye Y; School of Data Science, City University of Hong Kong, Hong Kong 999077, China.
  • Chen Y; School of Data Science, City University of Hong Kong, Hong Kong 999077, China.
  • Jing F; UNC Project-China, UNC Global, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
  • Cao Z; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Zeng DD; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Zhang Q; School of Data Science, City University of Hong Kong, Hong Kong 999077, China.
Chaos ; 33(1): 013124, 2023 Jan.
Article en En | MEDLINE | ID: mdl-36725657

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Infecciones del Sistema Respiratorio / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Infecciones del Sistema Respiratorio / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: China