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Spatial And Age Disparities In Covid-19 Outcomes, Qian Huang
Spatial And Age Disparities In Covid-19 Outcomes, Qian Huang
Theses and Dissertations
COVID-19 has caused significant social, economic, environmental, and political impacts globally and affected communities unequally in the U.S. The pandemic has also sparked interest in age-specific manifestations of infection, for example, studies confirmed the risk of increasing age with COVID-19 severity. However, the nonstationarity effects of health determinants among age groups have not been well examined. This study aims to explore the nonstationarity effects of social, behavioral, environmental, health care access, and political contexts on COVID-19 outcomes. This study poses three broad questions: 1) how did COVID-19 vaccinations align with COVID-19 daily cases and deaths in the United States; 2) …
Quantifying Human Mobility Patterns During Disruptive Events With Geospatial Big Data, Yuqin Jiang
Quantifying Human Mobility Patterns During Disruptive Events With Geospatial Big Data, Yuqin Jiang
Theses and Dissertations
Understanding human mobility patterns is an essence for geography and geographical information science. Although existing studies have found that human mobility patterns are highly predictable, such patterns can be disrupted by events, ranging from sports games to natural hazard caused evacuations. However, traditional data collection methods that heavily rely on self-reported travel behaviors are often delayed and at a small scale, and thus are often not sufficient to reveal the disrupted human mobility patterns. Fortunately, with the development of geolocating-related technologies, multiple platforms are able to capture human mobility data in unprecedented spatiotemporal scales and granularities. These data, such as …
A Gis-Based Risk Assessment For Fire Departments: Case Study Of Richland County, Sc, Tracy Whelen
A Gis-Based Risk Assessment For Fire Departments: Case Study Of Richland County, Sc, Tracy Whelen
Theses and Dissertations
Risk assessments enable fire departments to be better prepared for future incidents and to engage in more effective prevention activities. A combination of physical, demographic, and behavioral risk factors combined form a community’s level of risk. This research shows how spatial and nonspatial statistical methods can be used within a GIS framework to create such a risk assessment, with the Columbia-Richland Fire Department in Richland County, SC being used as a case study. Hot spot analysis and thematic mapping of incident rates were used to assess the first research question – what is the spatial variability of structure fires, carbon …