Full Citation
Title: Modeling Vulnerability to Mortality From Pandemic Influenza
Citation Type: Dissertation/Thesis
Publication Year: 2020
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Abstract: This research investigates vulnerability to mortality from a pandemic by creating a novel spatiotemporal epidemiological model that will simulate a pandemic and subsequent attempts by the population to access health care throughout the course of the simulated pandemic. Despite extensive and on-going research on pandemic influenza preparedness planning, there is a surprising dearth of literature regarding who is most at risk to dying from influenza, where this risk is concentrated, and why. The results of this study suggest that should a pandemic comparable to the 1918 Spanish Flu happen today, when the differentiating effects of receiving health care are considered, the mortality impacts of such a pandemic would be worse than what would be expected based on historical rates alone. This research provides evidence of the potential deadly impacts of a pandemic when the health care system is unable to provide care at the magnitude demanded.
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Authors: Woodul, Rachel Lynn
Institution: University of North Carolina
Department: Department of Geography
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Publisher Location: Chapel Hill
Pages: 1-125
Data Collections: IPUMS NHGIS
Topics: Fertility and Mortality, Health, Methodology and Data Collection, Population Data Science, Population Health and Health Systems
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