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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

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

Published Online: 2021-03-19

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhai, Mengmeng

Li, Wenhan

Tie, Ping

Wang, Xuchun

Xie, Tao

Ren, Hao

Zhang, Zhuang

Song, Weimei

Quan, Dichen

Li, Meichen

Chen, Limin

Qiu, Lixia
Funding

Funding for this research was provided by:

Shanxi Provincial Key Research and Development Project (201803D31066)
License Information

Text and Data Mining valid from 2021-03-19

Version of Record valid from 2021-03-19
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Article History

Received: 7 July 2020

Accepted: 9 March 2021

First Online: 19 March 2021

Declarations

:

: This study did not involve any human trials. The use of human brucellosis data was approved by the Ethics Committee at Shanxi Center for Disease Control and Prevention, China. The need of informed consent was deemed unnecessary, because the data did not contain personal and health information that could be connected back to the original identifiers.

: Not applicable.

: The authors declare that they have no comprting interests.

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