Geo-Spatial Risk Modeling for West Nile Virus in Tarrant County, TX Using Environmental and Demographic Data

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Material Information

Title:
Geo-Spatial Risk Modeling for West Nile Virus in Tarrant County, TX Using Environmental and Demographic Data
Physical Description:
1 online resource (74 p.)
Language:
english
Creator:
Waugh, Sheldon G
Publisher:
University of Florida
Place of Publication:
Gainesville, Fla.
Publication Date:

Thesis/Dissertation Information

Degree:
Master's ( M.S.)
Degree Grantor:
University of Florida
Degree Disciplines:
Geography
Committee Chair:
MAO,LIANG
Committee Co-Chair:
FIK,TIMOTHY J
Committee Members:
BLACKBURN,JASON K

Subjects

Subjects / Keywords:
2012 -- bayesian -- demographic -- disease -- geography -- gis -- modeling -- rates -- texas -- wnv
Geography -- Dissertations, Academic -- UF
Genre:
Geography thesis, M.S.
bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract:
The prevalence of West Nile Virus (WNV) reached its highest levels in 2012 and has led to one of the largest outbreaks since its introduction to the United States in 1999. The study area of Tarrant County, TX had experienced one of the largest amounts of human cases across the U.S in 2012. For WNV control, the local health agency needed a model to estimate the spatial distribution of WNV risks so that the adulticide spraying efforts can be targeted appropriately. Using the spatial empirical Bayesian rate smoothing and multivariate logistic regression with a spatial error lag approach, a geo-spatial risk model was constructed to identify key environmental and demographic factors at the census tract level that govern the geographic distribution of WNV infected mosquitoes. Of the 35 environmental and demographic variables used, the residence vacancy, race, income, amount of vegetation and SNAP benefits are found to be statistically significant. The validated risk model is then used to predict areas with the WNV positive rates higher than the average. The results indicate an increased amount of risk in the northeastern section of the county. This study informs the county government to develop their mosquito control efforts by 1) concentrating on the northeastern section of the county and 2) focusing on demographic factors which lead to a significant variation in WNV infected mosquitoes.
General Note:
In the series University of Florida Digital Collections.
General Note:
Includes vita.
Bibliography:
Includes bibliographical references.
Source of Description:
Description based on online resource; title from PDF title page.
Source of Description:
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The University of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Statement of Responsibility:
by Sheldon G Waugh.
Thesis:
Thesis (M.S.)--University of Florida, 2014.
Local:
Adviser: MAO,LIANG.
Local:
Co-adviser: FIK,TIMOTHY J.
Electronic Access:
RESTRICTED TO UF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE UNTIL 2016-05-31

Record Information

Source Institution:
UFRGP
Rights Management:
Applicable rights reserved.
Classification:
lcc - LD1780 2014
System ID:
UFE0046768:00001