Study of the influence of meteorological factors on HFMD and prediction based on the LSTM algorithm in Fuzhou, China

Abstract Background This study adopted complete meteorological indicators, including eight items, to explore their impact on hand, foot, and mouth disease (HFMD) in Fuzhou, and predict the incidence of HFMD through the long short-term memory (LSTM) neural network algorithm of artificial intelligence...

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Autores principales:	Hansong Zhu, Si Chen, Rui Liang, Yulin Feng, Aynur Joldosh, Zhonghang Xie, Guangmin Chen, Lingfang Li, Kaizhi Chen, Yuanyuan Fang, Jianming Ou
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2023-05-01
Colección:	BMC Infectious Diseases
Materias:	Meteorological Relative humidity Air temperature HFMD LSTM DLNM
Acceso en línea:	https://doi.org/10.1186/s12879-023-08184-1
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