Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Cooke, William H.
Committee Member
Rodgers III, John C.
Committee Member
Mylroie, John E.
Date of Degree
5-7-2005
Document Type
Graduate Thesis - Open Access
Major
Geosciences
Degree Name
Master of Science
College
College of Arts and Sciences
Department
Department of Geosciences
Abstract
West Nile virus has become a major risk to humans since its first appearance in New York City in 1999. Physicians and state health officials are interested in new and more efficient methods for monitoring disease spread and predicting future outbreaks. This study modeled habitat suitability for mosquitoes that carry West Nile virus. Habitat characteristics were used to derive risk maps for the entire state of Mississippi. Statistical significance tests yielded objective evidence for choosing among many habitat variables. Variables that were significantly correlated with diagnosed human cases for 2002 were combined in weighted linear algebraic models using a geographic information system (GIS). Road density, slope, and summer precipitation minus evaporation (P-E) were the most significant variables. GIS-based model results were compared with results from logistic regression models. The algebraic model was preferred when validated by 2003 human cases. If adopted, GIS-based risk models can help guide mosquito control efforts.
URI
https://hdl.handle.net/11668/18315
Recommended Citation
Wallis, Robert Charles, "A GIS Model for Predicting Potential "High Risk" Areas of West Nile Virus by Identifying Ideal Mosquito Breeding Habitats" (2005). Theses and Dissertations. 148.
https://scholarsjunction.msstate.edu/td/148