Graduation Year
2021
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Public Health
Major Professor
Thomas Unnasch, Ph.D.
Committee Member
Robert Unnasch, Ph.D.
Committee Member
Joni Downs, Ph.D.
Committee Member
Benjamin Jacob, Ph.D.
Committee Member
Andrea Morrison, Ph.D.
Committee Member
Carl Boohene, Ph.D.
Keywords
Ecological Niche, EEEV, GIS, Machine Learning, SLEV, WNV
Abstract
West Nile virus (WNV) and Eastern Equine Encephalitis virus (EEEV) represent the two greatest endemic arboviral risks to the state of Florida. Currently, no approved human vaccine exists for the prevention of either virus. In the absence of a vaccine, effective disease surveillance is paramount for public health. In Florida, WNV and EEEV sentinel chicken surveillance is conducted by mosquito control programs operated at the county, municipality, or special taxing district level. This program was implemented in 1978 following human outbreaks of St. Louis Encephalitis virus (SLEV) that occurred between 1959 and 1977, with initial sentinel coops placed in proximity to documented cases of human SLEV. Since the implementation of the sentinel chicken surveillance program, WNV and EEEV have supplanted SLEV as the dominant disseminating viruses in Florida requiring an update to the sentinel program. This study was conducted to improve the existing program to address this need. The first part of this study involved the development of an ensemble ecological niche model (ENM) using spatiotemporal, climatic, and environmental data to create a WNV predictive model. The second part of the study involved an overlay analysis of the WNV ENM with a preexisting EEEV model to create a model indicating high probability locations for both WNV and EEEV within Florida. This overlay represents the first model specifically developed for the identification of high probability habitat of each pathogen. Its implementation would allow for improved WNV and EEEV detection, rapid vector intervention, with a subsequent reduction in the transmission of disease.
Scholar Commons Citation
Beeman, Sean P., "Synthesis of a Multimodal Ecological Model for Scalable, High-Resolution Arboviral Risk Prediction in Florida" (2021). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/9658
Included in
Ecology and Evolutionary Biology Commons, Geographic Information Sciences Commons, Public Health Commons