Influenza time series prediction models in a megacity from 2010 to 2019: Based on seasonal autoregressive integrated moving average and deep learning hybrid prediction model.

Yang, Jin; Yang, Liuyang; Li, Gang; Du, Jing; Ma, Libing; Zhang, Ting; Zhang, Xingxing; Yang, Jiao; Feng, Luzhao; Yang, Weizhong; Wang, Chen

Yang, Jin; Yang, Liuyang; Li, Gang; Du, Jing; Ma, Libing; Zhang, Ting; Zhang, Xingxing; Yang, Jiao; Feng, Luzhao; Yang, Weizhong; Wang, Chen.

Afiliación

Yang J; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China.
Yang L; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Li G; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Du J; The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, Yunnan 650106, China.
Ma L; Beijing Centre for Disease Prevention and Control, Beijing 100013, China.
Zhang T; Beijing Centre for Disease Prevention and Control, Beijing 100013, China.
Zhang X; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Yang J; Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guilin Medical University, Guilin, Guizhou 561113, China.
Feng L; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Yang W; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Wang C; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.

Chin Med J (Engl) ; 2024 Aug 09.

Article en En | MEDLINE | ID: mdl-39119631

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chin Med J (Engl) Año: 2024 Tipo del documento: Article País de afiliación: China

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