Spatial Risk Mapping of West Nile Virus in Correlation to Vegetation in Montana

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Authors
Wreggelsworth, Amanda
Advisor
Grant Hokit
Sam Alvey
Kevin Stewart
Editor
Date of Issue
2013-04-01
Subject Keywords
Publisher
Citation
Series/Report No.
item.page.identifier
Title
Spatial Risk Mapping of West Nile Virus in Correlation to Vegetation in Montana
Other Titles
Type
thesis
Description
Abstract
In the present study, spatial epidemiology was applied to the vegetation in Montana by combining NDVI data, landcover data, and a thermal layer to create a predictive model of C. tarsalis in Montana. Samples of C. tarsalis, which has been identified as the primary vector for West Nile Virus in Montana, were collected from June to August, 2013, at various sites across the state. ArcGIS and MaxENT software was used to create a model for June, July, and August. Overall, there was a modal correlation between vegetation density and the presence of C. tarsalis and a positive correlation between both the thermal and vegetation layers and the presence of C. tarsalis. The models and their corresponding data outputs provide insight into mosquito presence throughout Montana, an outcome which, in turn, may help isolate WNV hot spots.
Sponsors
Degree Awarded
Bachelor's
Semester
Spring
Department
Life & Environmental Sciences