Tuesday, 28 October 2003 - 1:12 PM
0734

This presentation is part of : Ten-Minute Papers, Section D. Medical and Veterinary Entomology

Geographic Information Systems and remote sensing as predictors of West Nile virus risk in northeastern Iowa

David Randy Mercer, Jeff Fisher, Sara L. Sheeley, Forest Isbell, and Keri Leymaster. University of Northern Iowa, Biology, McCollum Science Hall, Cedar Falls, IA

Geographic Information Systems (GIS) and remote sensing technologies have found limited applications for mosquito-borne diseases in midwestern U.S. The rapid spread of West Nile virus (WNV) through Iowa and neighboring states provided both opportunity and incentive for applying these technologies to the estimation of WNV risk in northeastern Iowa. Through ground surveys of larval developmental sites, adult trap catches, land uses, watersheds, and habitat types, we are building a GIS model Black Hawk County, IA. We will use this model to predict larval and adult mosquito populations and their potential risks for transmitting WNV in neighboring Buchanan County, IA. We are particularly interested whether nutrient additions to aquatic habitats increase mosquito production and disease transmission.

Keywords: mosquito, arbovirus

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