title: Time-series analysis on human brucellosis during 2004-2013 in Shandong Province, China.
abstract: Human brucellosis is a re-emerging bacterial anthropozoonotic disease, which remains a public health concern in China with the growing number of cases and more widespread natural foci. The purpose of this study was to short-term forecast the incidence of human brucellosis with a prediction model. We collected the annual and monthly laboratory data of confirmed cases from January 2004 to December 2013 in Shandong Diseases Reporting Information System (SDRIS). Autoregressive integrated moving average (ARIMA) model was fitted based on the monthly human brucellosis incidence from 2004 to 2013. Finally, monthly brucellosis incidences in 2014 were short-term forecasted by the obtained model. The incidence of brucellosis was increasing from 2004 to 2013. For the ARIMA (0, 2, 1) model, the white noise diagnostic check (x(2) = 5.58 P = 0.35) for residuals obtained was revealed by the optimum goodness-of-fit test. The monthly incidences that fitted by ARIMA (0, 2, 1) model were closely consistent with the real incidence from 2004 to 2013. And forecasting incidences from January 2014 to December 2014 were, respectively, 0.101, 0.118, 0.143, 0.166, 0.160, 0.172, 0.169, 0.133, 0.122, 0.105, 0.103 and 0.079 per100 000 population, with standard error 0.011-0.019 and mean absolute percentage error (MAPE) of 58.79%.
authors.affiliation: Department of Epidemiology and Health Statistics, Shandong University School of Public Health, Jinan, China.
authors.forename: L
authors.initials: L
authors.lastname: Yang
authors.forename: Z-W
authors.initials: ZW
authors.lastname: Bi
authors.forename: Z-Q
authors.initials: ZQ
authors.lastname: Kou
authors.forename: X-J
authors.initials: XJ
authors.lastname: Li
authors.forename: M
authors.initials: M
authors.lastname: Zhang
authors.forename: M
authors.initials: M
authors.lastname: Wang
authors.forename: L-Y
authors.initials: LY
authors.lastname: Zhang
authors.forename: Z-T
authors.initials: ZT
authors.lastname: Zhao
mesh_terms: D002006:Brucellosis / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D005544:Forecasting; D005843:Geography; D006801:Humans; D015994:Incidence; D015233:Models, Statistical; D011634:Public Health; D012621:Seasons; D013997:Time Factors
keywords: Time-series; autoregressive integrated moving average (ARIMA) models; disease prediction; human Brucellosis