Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, there is currently no evidence on whether its research results...

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Detalhes bibliográficos

Principais autores:	Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur, Yuyan Chen, Xiaoying Wang, Kaizhi Chen, Zhonghang Xie, Lingfang Li, Yu Liu, Guangmin Chen, Jianming Ou, Kuicheng Zheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-08-01
Colecção:	BMC Infectious Diseases
Assuntos:	COVID-19 Influenza Meteorological Bi-LSTM Random forest (RF)
Acesso em linha:	https://doi.org/10.1186/s12879-024-09750-x
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