title: [Prediction of hookworm incidence with time-series model in Jiangsu Province].
abstract: OBJECTIVE
  To explore the feasibility of autoregressive integrated moving average (ARIMA) to predict the infection rates of hookworm in Jiangsu Province.
  
  
  METHODS
  From 1990 to 2006, the infection rates of hookworm were used for a training data set. As to obtain a stationary data set, the training data set was second-order differenced using the version SAS 9.0. The model parameters were screened by using the minimum information criterion. The ARIMA model was constructed to predict the infect rates of hookworm form 2007 to 2011.
  
  
  RESULTS
  The time-series model ARIMA (1, 2, 0) was confirmed preliminarily. The model fitted well the training data set. The predictive infection rates were main accordance with the actual status of hookworm from 2007 to 2011, and the most minimum error was only 9.23%.
  
  
  CONCLUSIONS
  The model constructed has a good predictive effect and applied value for control of hookworm.
authors.affiliation: Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention, Ministry of Health, Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi 214064, People's Republic of China.
authors.forename: Wen-Cai
authors.initials: WC
authors.lastname: Jiang
authors.forename: Xiao-Lin
authors.initials: XL
authors.lastname: Jin
authors.forename: Ming-Xue
authors.initials: MX
authors.lastname: Shen
authors.forename: Han-Jun
authors.initials: HJ
authors.lastname: Cao
authors.forename: Xiang-Zhen
authors.initials: XZ
authors.lastname: Xu
mesh_terms: D000723:Ancylostomatoidea / Q000302:isolation & purification* / Q000502:physiology; D000818:Animals; D002681:China / Q000453:epidemiology; D006725:Hookworm Infections / Q000453:epidemiology* / Q000469:parasitology; D006801:Humans; D015994:Incidence; D015233:Models, Statistical