Comparative study of SARIMA and NARX models in predicting the incidence of schistosomiasis in China

DOI10.3934/MBE.2019112zbMath1501.92205OpenAlexW2921700463WikidataQ92346842 ScholiaQ92346842MaRDI QIDQ2091906

Xinya Yu, Longxing Qi, Zhuang Chen

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019112

zbMATH Keywords

incidenceschistosomiasisNARX modelautoregressive integrated moving average (ARIMA) model

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (1)

Editorial: mathematical modeling to solve the problems in life sciences

Cites Work

• Schistosomiasis transmission model and its control in Anhui province
• Multiple infection leads to backward bifurcation for a schistosomiasis model
• Parameter estimation of modeling schistosomiasis transmission for four provinces in China

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