Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive analysis

Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive analysis

Abstract Background Brucellosis is a major public health problem that seriously affects developing countries and could cause significant economic losses to the livestock industry and great harm to human health. Reasonable prediction of the incidence is of great significance in controlling brucellosi...

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Bibliographic Details
Main Authors: Mengmeng Zhai, Wenhan Li, Ping Tie, Xuchun Wang, Tao Xie, Hao Ren, Zhuang Zhang, Weimei Song, Dichen Quan, Meichen Li, Limin Chen, Lixia Qiu
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Infectious Diseases
Subjects:
Human brucellosis
ARIMA-ERNN model
ARIMA-BPNN model
Predictive effect
Online Access:https://doi.org/10.1186/s12879-021-05973-4

Internet

https://doi.org/10.1186/s12879-021-05973-4

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