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

• Main Authors: Meng Wang (Author), Jinhua Pan (Author), Xinghui Li (Author), Mengying Li (Author), Zhixi Liu (Author), Qi Zhao (Author), Linyun Luo (Author), Haiping Chen (Author), Sirui Chen (Author), Feng Jiang (Author), Liping Zhang (Author), Weibing Wang (Author), Ying Wang (Author)
• Format: Book
• Published: BMC, 2022-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract 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 mai...