University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School May 2017 Geospatial and Negative Binomial Regression Analysis of Culex nigripalpus, Culex erraticus, Coquillettidia perturbans, and Aedes vexans Counts and Precipitation and Land use Land cover Covariates in Polk County, Florida Joshua P. Wright University of South Florida,
[email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Public Health Commons, and the Statistics and Probability Commons Scholar Commons Citation Wright, Joshua P., "Geospatial and Negative Binomial Regression Analysis of Culex nigripalpus, Culex erraticus, Coquillettidia perturbans, and Aedes vexans Counts and Precipitation and Land use Land cover Covariates in Polk County, Florida" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6983 This Thesis is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact
[email protected]. Geospatial and Negative Binomial Regression Analysis of Culex nigripalpus , Culex erraticus , Coquillettidia perturbans , and Aedes vexans Counts and Precipitation and Land use Land cover Covariates in Polk County, Florida by Joshua P. Wright A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science of Public Health Department of Global Health College of Public Health University of South Florida Major Professor: Thomas Unnasch, Ph. D. Benjamin Jacob, Ph.D Carl Boohene, Ph.D Date of Approval: April 24, 2017 Keywords: Mosquitoes, Vectors, LULC, GIS, Negative Binomial Regression Copyright © 2017, Joshua P.