title: [Prediction of the spatial distribution of Oncomelania snails in marshland of Jiangning County using the Ordinary Kriging].
abstract: OBJECTIVE
  To explore the methods to predict the distribution of Oncomelania hupensis in the marshland of Jiangning County.
  
  
  METHODS
  Semi-variogram was used to analyze the spatial autocorrelation of snails' distribution in the marshland of Jiangning using the Arcview8.1. A prediction map for the snails' distribution was established using the Ordinary Kriging and evaluated using the cross-validation.
  
  
  RESULTS
  Analysis showed that the distribution of alive snails in the marshland of Jiangning in the year 2000 was auto-correlated in spatial. The semi-variogram model which was spherical demonstrated that the variation of alive snails in spatial were related with distance apart when the distance was less than 0.0301. The prediction map of the snail distribution in the marshland of Jiangning was established based on the semi-variogram using the Ordinary Kriging. The cross-validation showed that the prediction map could estimate the distribution of snails in the marshland of Jiangning correctly. And the determinant coefficient for the prediction model was 0.973.
  
  
  CONCLUSIONS
  It is feasible to predict the snail distribution in the marshland of Jiangning County by using Ordinary Kringing and data from the surveillance spot.
authors.affiliation: Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, China.
authors.forename: Zhi-ying
authors.initials: ZY
authors.lastname: Zhang
authors.forename: De-zhong
authors.initials: DZ
authors.lastname: Xu
authors.forename: Hua
authors.initials: H
authors.lastname: Peng
authors.forename: Yun
authors.initials: Y
authors.lastname: Zhou
authors.forename: Bo
authors.initials: B
authors.lastname: Zhang
authors.forename: Shi-jun
authors.initials: SJ
authors.lastname: Liu
authors.forename: Xiao-nong
authors.initials: XN
authors.lastname: Zhou
authors.forename: Zi-li
authors.initials: ZL
authors.lastname: Gong
mesh_terms: D000818:Animals; D001947:Breeding; D002681:China / Q000453:epidemiology; D004199:Disease Vectors; D004463:Ecology; D004784:Environmental Monitoring; D062665:Epidemiological Monitoring; D012549:Schistosoma japonicum / Q000254:growth & development*; D012554:Schistosomiasis japonica / Q000453:epidemiology / Q000635:transmission*; D012621:Seasons; D012908:Snails / Q000254:growth & development / Q000469:parasitology* / Q000502:physiology*