Krishna Thakur Hu Suk Lee
Outline Introduction GIS questions? Objectives Materials and Methods Results Discussion Conclusions
What is WNV? West Nile virus (WNV) is a Flavivirus which causes neurological disease in humans, horses and other animals Birds develop substantial viremia and are considered a major reservoir host Humans and horses are dead-end hosts WNV was first detected in 1999 in the United States (New York State)
Transmission by Mosquitoes WNV is an Arbovirus transmitted by several mosquito species Most important vector: Culex spp. Mosquito abundance is associated with environmental and anthropogenic factors Standing Water Vegetation overgrowth Urbanization Host population (Humans and Horses)
GIS question? Why some of the counties in Indiana State have high positive cases of mosquitoes for WNV compared with other counties?
Objectives Use GIS to compare counties in Indiana in terms of high and low positive cases of WNV to Human population density Horse population density Percent of wetland Percent of urban Percent of different types of land uses Identify areas with high risk and make a risk map for WNV in Indiana using Ordinary least square regression model(OLS)
Materials Data sources WNV mosquito cases by county in Indiana State in Indiana State map by county from Statewide danpatch.ecn.purdue.edu\asm540\data\tippecanoe\statewide Wetland Data Land cover danpatch.ecn.purdue.edu\asm540\data\tippecanoe\landcover
Materials Data sources Human population (Census block) Horse population Census urban Area danpatch.ecn.purdue.edu\asm540\data\tippecanoe\statewide Other related references
Methods
Normalization by area of county Human population Horse population Area of wetland Area of land use type Recombination and reclassification Forest= Deciduous + Evergreen + Mixed Wetland= Herbaceous + Woody
Methods FINAL MODEL
Methods Normalization by area of county Human population Horse population Wetland area Land cover values Reclassification and recombination of Land cover values Forest= Deciduous + Evergreen + Mixed Wetland= Woody wetland+ Emergent herbaceous wetland
Initial Analysis
Ordinary Least Square Regression Result
Random spatial pattern of under and over prediction
Real cases vs. Predicted cases
Comparison of Counties with High and Low WNV
Discussion WNV cases in mosquitoes are related with Human density This model explains 28% of variation in WNV cases in mosquito indicating some variables are still missing in the model Predicted cases are not spatially autocorrelated indicating random pattern and model significance
Discussion GIS OLS tool and Spatial correlation tool work well in comparing and modeling multiple spatial factors Good Visualization tool to understand the distribution of disease and associated risk factors Useful to obtain spatial data for other studies
Conclusion Required more factors in order to explain the WNV cases in mosquito Obtained data can be analyzed using robust statistical software Helpful to design mosquito control program Acquaintance with GIS application in spatial epidemiology
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