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Full-Text Articles in Public Health

Landscapes Of Danger: A Geospatial Analysis Of Perceived And Realistic Risk In Bryce Canyon National Park, Tia Francis May 2020

Landscapes Of Danger: A Geospatial Analysis Of Perceived And Realistic Risk In Bryce Canyon National Park, Tia Francis

Graduate Theses and Dissertations

The quantification of risk has inspired a wide breath of literature from the physical sciences, social sciences, and interdisciplinary disciplines like geography. Many attempts to estimate risk via natural hazards either focus on quantifying realistic risk or perceived risk of lay persons, with very little overlap between these paradigms. Due to this, a considerable knowledge gap exists within perceived risk and natural hazards research. This study aims to provide a comprehensive, risk estimation and assessment strategy through a multi-hazard risk assessment of Bryce Canyon National Park (BRCA). This case study analyzed knowledge of risk among visitors with perception surveys and …


Swedish Social Welfare And Its Application To American Welfare Systems, Ben Wilson Galloway Aug 2017

Swedish Social Welfare And Its Application To American Welfare Systems, Ben Wilson Galloway

Graduate Theses and Dissertations

Swedish Social Welfare and its Application to American Welfare Systems concerns itself with the issue of determining the origins of the modern Swedish social welfare system. Additionally, the causes behind the formation of the system are evaluated for their relevancy concerning the formation of the American welfare system. Multiple areas of study are considered, including racial impacts, economic factors, sociological impactors, and demographic variables.


Landscape Epidemiology And Machine Learning: A Geospatial Approach To Modeling West Nile Virus Risk In The United States, Sean Gregory Young May 2013

Landscape Epidemiology And Machine Learning: A Geospatial Approach To Modeling West Nile Virus Risk In The United States, Sean Gregory Young

Graduate Theses and Dissertations

The complex interactions between human health and the physical landscape and environment have been recognized, if not fully understood, since the ancient Greeks. Landscape epidemiology, sometimes called spatial epidemiology, is a sub-discipline of medical geography that uses environmental conditions as explanatory variables in the study of disease or other health phenomena. This theory suggests that pathogenic organisms (whether germs or larger vector and host species) are subject to environmental conditions that can be observed on the landscape, and by identifying where such organisms are likely to exist, areas at greatest risk of the disease can be derived. Machine learning is …