Objective:To model the monthly number of dengue fever cases in northeastern Thailand using time series analysis.Methods:Autoregressive Integrated Moving Average(ARIMA) models have been developed on the monthly data co...Objective:To model the monthly number of dengue fever cases in northeastern Thailand using time series analysis.Methods:Autoregressive Integrated Moving Average(ARIMA) models have been developed on the monthly data collected from January 1981 to December 2006 and validated using the data from January 2007 to April 2010.Results:The ARIMA(3,1,4) model has been found as the most suitalile model with the least Akaike Information Criterion(AIC) of 14.060 and Mean Absolute Percent Error(MAPE) of 7.000.The model was fiuther validated by the Portmanteau test with no significant autocorrelation between residuals at different lag times.Conclusions: Early warning based on the data in the previous months could assist in improving vector control, community intervention,and personal protection.展开更多
基金Financial support from the Thailand Research Fund thiough the Royal Golden Jubilee Ph.D.Program (Grant No.PHD/0201/2548) to Siriwan Wongkoon and Mullica Jaroensutasinee,Walailak University Fund 06/2552 and Center of Excellence for Ecoinformatics,NECTEC/ Walailak University
文摘Objective:To model the monthly number of dengue fever cases in northeastern Thailand using time series analysis.Methods:Autoregressive Integrated Moving Average(ARIMA) models have been developed on the monthly data collected from January 1981 to December 2006 and validated using the data from January 2007 to April 2010.Results:The ARIMA(3,1,4) model has been found as the most suitalile model with the least Akaike Information Criterion(AIC) of 14.060 and Mean Absolute Percent Error(MAPE) of 7.000.The model was fiuther validated by the Portmanteau test with no significant autocorrelation between residuals at different lag times.Conclusions: Early warning based on the data in the previous months could assist in improving vector control, community intervention,and personal protection.
基金This researchwas funded by the TRFPBIOTEC Special Program for Biodiversity Research Training grant BRTR-247004, CX2KURUE, the Institute of Research and Development, Walailak University Department of Biology, Faculty of Science, Thaksin University.
基金This research was funded by the TRF/BIOTEC Special Programfor Biodiversity Research and Training grant BRT R_247004 ,CX-KURUE,the Institute of Research and Development , Walailak University Fund and Department of Biology ,Faculty of Science , Thaksin University