Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model

Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model

Abstract Background Gonorrhea has long been a serious public health problem in mainland China that requires attention, modeling to describe and predict its prevalence patterns can help the government to develop more scientific interventions. Methods Time series (TS) data of the gonorrhea incidence i...

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Bibliographic Details
Main Authors: Zhende Wang, Yongbin Wang, Shengkui Zhang, Suzhen Wang, Zhen Xu, ZiJian Feng
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Infectious Diseases
Subjects:
Gonorrhea
Modeling
SARIMA
LSTM
Online Access:https://doi.org/10.1186/s12879-023-08969-4

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