Application of autoregressive integrated moving average model in prediction of hand⁃foot⁃mouth disease epidemic in Nantong
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    Abstract:

    Objective:To predict the trend of hand-foot-mouth disease in Nantong by using the autoregressive integrated moving average(ARIMA) model. Methods:Based on the monthly reported case data of hand-foot-mouth disease in Nantong from January 2010 to June 2019,a ARIMA(p,d,q)×(P,D,Q)S model was constructed in accordance with the seasonal time series. The monthly incidence of hand-foot-mouth disease in the city from July to December 2019 was used as verification data to test the prediction effect of the model. Results:A total of 90 766 cases of hand-foot-mouth disease were reported in Nantong from 2010 to 2019. The average annual incidence rate was 124.36/100 000. The epidemic showed seasonality of incidence with two peaks. One was the summer peak and the other was the winter sub-peak. In recent years,the pathogenic spectrum of hand-foot-mouth disease in Nantong was dominated by other intestinal viruses. Using the ARIMA(1,0,1)(1,1,1)12 model,the incidence of hand-foot-mouth disease from July to December 2019 wss predicted to be 7.08/100 000,1.81/100 000,3.74/100 000,7.21/100 000,10.71/100 000,and 11.29/100 000. Compared with the actual incidence,there was no significant difference. Conclusion:The autoregressive integrated moving average model can better predict the incidence of hand-foot-mouth disease,and can be used for short-term early warning and monitoring.

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练 维,魏 叶,韩颖颖,帅小博.差分自回归移动平均模型在南通市手足口病疫情预测中的应用[J].南京医科大学学报(自然科学版英文版),2021,(1):59-64.

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  • Received:February 04,2020
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  • Online: February 04,2021
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