SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA

SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA

Abstract Background The early warning model of infectious diseases plays a key role in prevention and control. This study aims to using seasonal autoregressive fractionally integrated moving average (SARFIMA) model to predict the incidence of hemorrhagic fever with renal syndrome (HFRS) and comparin...

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Bibliographic Details
Main Authors: Chang Qi, Dandan Zhang, Yuchen Zhu, Lili Liu, Chunyu Li, Zhiqiang Wang, Xiujun Li
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Medical Research Methodology
Subjects:
Seasonal autoregressive fractionally integrated moving average model
Seasonal autoregressive integrated moving average model
Hemorrhagic fever with renal syndrome
Goodness of fit
Prediction
Online Access:http://link.springer.com/article/10.1186/s12874-020-01130-8

Internet

http://link.springer.com/article/10.1186/s12874-020-01130-8

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