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

被引:0
作者
Chang Qi
Dandan Zhang
Yuchen Zhu
Lili Liu
Chunyu Li
Zhiqiang Wang
Xiujun Li
机构
[1] Shandong University,Department of Biostatistics, School of Public Health, Cheeloo College of Medicine
[2] Institute of Infectious Disease Control and Prevention,undefined
[3] Shandong Center for Disease Control and Prevention,undefined
来源
BMC Medical Research Methodology | / 20卷
关键词
Seasonal autoregressive fractionally integrated moving average model; Seasonal autoregressive integrated moving average model; Hemorrhagic fever with renal syndrome; Goodness of fit; Prediction;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 90 条
[1]  
Zhang D(2019)The relationship between meteorological factors and mumps based on boosted regression tree model Sci Total Environ 695 133758-1192
[2]  
Guo Y(2018)Forecast of severe fever with thrombocytopenia syndrome incidence with meteorological factors Sci Total Environ 626 1188-1075
[3]  
Rutherford S(2016)The short-term association between meteorological factors and mumps in Jining, China Sci Total Environ 568 1069-57
[4]  
Qi C(2014)A study of the dengue epidemic and meteorological factors in Guangzhou, China, by using a zero-inflated Poisson regression model Asia Pac J Public Health 26 48-70
[5]  
Wang X(2018)Epidemiology and ARIMA model of positive-rate of influenza viruses among children in Wuhan, China: a nine-year retrospective study Int J Infect Dis 74 61-1666
[6]  
Wang P(2008)Modelling and prediction of weekly incidence of influenza a specimens in England and Wales Epidemiol Infect 136 1658-688
[7]  
Zheng Z(2007)Weather variability and the incidence of cryptosporidiosis: comparison of time series poisson regression and SARIMA models Ann Epidemiol 17 679-16
[8]  
Xu Q(2015)Burden of disease measured by disability-adjusted life years and a disease forecasting time series model of scrub typhus in Laiwu, China PLoS Negl Trop Dis 9 e3420-1688
[9]  
Li X(2018)Combined influence of multiple climatic factors on the incidence of bacterial foodborne diseases Sci Total Environ 610-611 10-1912
[10]  
Sun JM(2018)Spatiotemporal analysis and forecasting model of hemorrhagic fever with renal syndrome in mainland China Epidemiol Infect 146 1680-176