Early warning of emerging infectious diseases based on multimodal data.

Ren, Haotian; Ling, Yunchao; Cao, Ruifang; Wang, Zhen; Li, Yixue; Huang, Tao

Ren, Haotian; Ling, Yunchao; Cao, Ruifang; Wang, Zhen; Li, Yixue; Huang, Tao.

Afiliação

Ren H; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Ling Y; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Cao R; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Wang Z; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Li Y; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Huang T; School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024 China.

Biosaf Health ; 2023 Jun 07.

Article em En | MEDLINE | ID: mdl-37362865

Palavras-chave

Early warning; Emerging infectious disease; Multimodal data; SARS-CoV-2

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biosaf Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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