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Time series prediction for the epidemic trends of monkeypox using the ARIMA, exponential smoothing, GM (1, 1) and LSTM deep learning methods.
Wei, Wudi; Wang, Gang; Tao, Xing; Luo, Qiang; Chen, Lixiang; Bao, Xiuli; Liu, Yuxuan; Jiang, Junjun; Liang, Hao; Ye, Li.
Afiliação
  • Wei W; Life Sciences Institute, Biosafety Level 3 Laboratory, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Wang G; China (Guangxi)-ASEAN Joint Laboratory of Emerging Infectious Diseases, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Tao X; China (Guangxi)-ASEAN Joint Laboratory of Emerging Infectious Diseases, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Luo Q; Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Chen L; China (Guangxi)-ASEAN Joint Laboratory of Emerging Infectious Diseases, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Bao X; Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Liu Y; Life Sciences Institute, Biosafety Level 3 Laboratory, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Jiang J; China (Guangxi)-ASEAN Joint Laboratory of Emerging Infectious Diseases, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Liang H; China (Guangxi)-ASEAN Joint Laboratory of Emerging Infectious Diseases, Guangxi Medical University, Nanning, Guangxi, PR China.
  • Ye L; Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, PR China.
J Gen Virol ; 104(4)2023 04.
Article em En | MEDLINE | ID: mdl-37022959
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mpox / Epidemias / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mpox / Epidemias / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article