Development and comparison of predictive models for sexually transmitted diseases—AIDS, gonorrhea, and syphilis in China, 2011–2021

BackgroundAccurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning. In this paper, four different forecasting models were presented to predict the incidence of AIDS, gonorrhea, and syphilis.MethodsThe annual perce...

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Principais autores:	Zhixin Zhu, Xiaoxia Zhu, Yancen Zhan, Lanfang Gu, Liang Chen, Xiuyang Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-08-01
coleção:	Frontiers in Public Health
Assuntos:	time series predictive models sexually transmitted diseases ARIMA ERNN ARIMA-ERNN LSTM
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fpubh.2022.966813/full
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