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Elucidating The Role Of Neighborhood Deprivation In Hypertensive Disorders Of Pregnancy, Kelly M. Winter

FIU Electronic Theses and Dissertations

This dissertation examined risk factors for hypertensive disorders of pregnancy (HDP) — specifically whether neighborhood socioeconomic deprivation exacerbates individual socioeconomic disadvantage (deprivation amplification) to increase the likelihood of developing HDP. To select the optimal areal unit at which to investigate HDP, geographic proxies for neighborhoods were explored.

A thematic review qualitatively examined nontraditional neighborhood boundaries identified through internet sources. Data from 2008–2012 Miami-Dade County, Florida birth records (n=121,421) and the U.S. Census Bureau were used for the remaining analyses. Ordinary least squares (OLS) and geographically weighted regression (GWR) analysis empirically compared the proportion of HDP prevalence explained by six areal …

Spatial Epidemiology Of Summer Trauma In Scott County, Ia: Use Of Gis To Identify Trauma Incidence In Urban And Rural Areas, Matthew Koch

Celebration of Learning

Traumatic injury is a blanket term referring to acute physical injuries which pose an immediate threat to life and limb, requiring urgent medical care. Unintentional injuries are the fifth-leading cause of death, and fatal injuries cost the American economy over $84 billion annually in lost work and medical costs. Scott County, IA, is a unique environment for trauma research because it served by a single trauma center and features within its 458 square miles distinct urban and rural populations. Patient data from the trauma registry, including age, race, and mechanism of injury (MOI) was combined with the corresponding spatial data …

Spatial Modelling And Wildlife Health Surveillance: A Case Study Of White Nose Syndrome In Ontario, Lauren Yee

Theses and Dissertations (Comprehensive)

Wildlife data is often limited by survey effort, small sample sizes, and spatial biases associated with collection and missing data. These factors can create unique challenges from a surveillance perspective when trying to extract spatial patterns of habitat suitability and disease distributions for conservation and management purposes. This thesis examined data quality from a wildlife health database in the context of spatial analysis of wildlife disease. Spatial analysis of the data to predict habitat suitability of bats and white nose syndrome afflicted bats was examined by using the MaxEnt modelling method. Methods to reduce spatial bias were examined and specific …