This dissertation examined the association between HAP and respiratory health, both using simple proxy metrics, such as cooking fuel types, and actual measurements, such as household and personal measures of PM2.5 and BC. We found that simple proxy metrics can predict a portion of HAP levels, and associations with respiratory...
Traffic exhaust is an important source of air pollution. This exposure assessment study examined traffic related air pollution in Curitiba, Brazil, and is particularly relevant due to 75% of the population using diesel public transportation. Traffic density was tabulated, and vehicle-type was distinguished based on their fuel type (diesel or...
Most energy policies that are implemented in the United States dictate how energy is produced, distributed, and consumed, but policies generally neglect to fully investigate how these decisions impact population health. Individuals who live near energy sector components are often different to those that reside further away and change over...
This thesis explores interrelationships between the geographical impact of recent hurricanes, rates of giardiasis and cryptosporidiosis in impacted communities, and effects of hurricanes on local water infrastructure systems. I obtained quantitative data on geographical hurricane attributes, demographic characteristics of populations struck by hurricanes, and confirmed cases of giardiasis and cryptosporidiosis...
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PerryHystad, Committee Member, representing College of Public Health and Human Sciences
Quantitative measurement of the urban-rural continuum for examination of U.S. rural health disparities is a relatively new research area, where only a handful of studies have investigated health disparities using quantitative rural measures and even fewer have attempted to integrate health variables within said measures. Most U.S. rural health disparity...
Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
Compactness in deep learning can be critical to a model’s viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider Iterative Product Quantization (iPQ) with Quant-Noise [Fan et al., 2020] to be state-of-the-art in this area, but this quantization framework suffers from preventable inference...
Approximately ninety percent of urban Vietnamese households are connected to septic tanks, from which up to three-quarters of the sludge is reported to be dumped into waterways in residential areas. Vietnam has a considerable prevalence of antibiotic misuse and resultant antibiotic-resistant bacteria (ARB) in the human microbiome. Due to the...
BACKGROUND: Half the world’s population lives in urban areas. It is therefore important to identify
characteristics of the built environment that are beneficial to human health. Urban greenness
has been associated with improvements in a diverse range of health conditions, including birth
outcomes; however, few studies have attempted to distinguish...
Full Text:
Factors
PerryHystad, Hugh W. Davies, Lawrence Frank, Josh Van Loon, Ulrike Gehring, Lillian
BACKGROUND: Half the world’s population lives in urban areas. It is therefore important to identify
characteristics of the built environment that are beneficial to human health. Urban greenness
has been associated with improvements in a diverse range of health conditions, including birth
outcomes; however, few studies have attempted to distinguish...
Full Text:
the Influence
of Spatially Correlated Built-Environment Factors
PerryHystad,1 Hugh W. Davies,2