ARIMA and ARIMA-ERNN models for prediction of pertussis incidence in mainland China from 2004 to 2021

OBJECTIVE: To compare an autoregressive integrated moving average (ARIMA) model with a model that combines ARIMA with the Elman recurrent neural network (ARIMA-ERNN) in predicting the incidence of pertussis in mainland China. BACKGROUND: The incidence of pertussis has increased rapidly in mainland C...

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Detalles Bibliográficos
Autores principales: Wang, Meng, Pan, Jinhua, Li, Xinghui, Li, Mengying, Liu, Zhixi, Zhao, Qi, Luo, Linyun, Chen, Haiping, Chen, Sirui, Jiang, Feng, Zhang, Liping, Wang, Weibing, Wang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338508/
https://www.ncbi.nlm.nih.gov/pubmed/35906580
http://dx.doi.org/10.1186/s12889-022-13872-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338508/
https://www.ncbi.nlm.nih.gov/pubmed/35906580
http://dx.doi.org/10.1186/s12889-022-13872-9

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