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Spatial autocorrelation of West Nile virus vector mosquito abundance in a seasonally wet suburban environment

  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The objective of this study is to quantify and model spatial dependence in mosquito vector populations and develop predictions for unsampled locations using geostatistics. Mosquito control program trap sites are often located too far apart to detect spatial dependence but the results show that integration of spatial data over time for Cx. pipiens-restuans and according to meteorological conditions for Ae. vexans enables spatial analysis of sparse sample data. This study shows that mosquito abundance is spatially correlated and that spatial dependence differs between Cx. pipiens-restuans and Ae. vexans mosquitoes.

Original languageEnglish
Pages (from-to)67-87
Number of pages21
JournalJournal of Geographical Systems
Volume11
Issue number1
DOIs
StatePublished - 2009

Keywords

  • Classification and regression trees (CART)
  • Geostatistics
  • Landscape epidemiology
  • Mosquito vectors
  • Spatial autocorrelation
  • West Nile virus

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