Epidemiological characteristics and LSTM-based simulation of mumps incidence in Ningbo, China from 2005 to 2024

Abstract Background This study aimed to analyze the epidemiological characteristics of mumps in Ningbo, China, from 2005 to 2024, and to develop a predictive model using a Long Short-Term Memory (LSTM) neural network to forecast incidence trends. Methods Surveillance data of mumps cases were obtaine...

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Detalhes bibliográficos

Principais autores:	Zi Ye, Xiaoxia Zhu, Heng Fan, Weitao Yao, Yanghui Wu, Tianfeng He
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-03-01
coleção:	BMC Public Health
Assuntos:	Mumps Epidemiology Forecasting LSTM SARIMA
Acesso em linha:	https://doi.org/10.1186/s12889-026-26900-9
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