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- Biological sciences (1)
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- HCV (1)
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- Landscape epidemiology (1)
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- Oncomelania Hupensis (1)
- Poyang Lake (1)
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Articles 1 - 3 of 3
Full-Text Articles in Entire DC Network
Utilizing Landsat Tm And Oli In Predicting Oncomelania Hupensis Habitats Around Poyang Lake Before And After Three Gorges Dam Completion, Stephanie L. Mccracken
Utilizing Landsat Tm And Oli In Predicting Oncomelania Hupensis Habitats Around Poyang Lake Before And After Three Gorges Dam Completion, Stephanie L. Mccracken
Honors Theses
Schistosomiasis is a parasitic disease caused by the Schistomsoma japonicum flatworm that utilizes the Oncomelania hupensis snail as an intermediate agent. In the People’s Republic of China, these amphibious snails contaminate freshwater systems infecting humans, bovines, and other mammals and have caused significant morbidity for over two thousand years (Wertheim, et al. 2012; Zhang, et al. 2012.) The gravity of this disease prompted the national government to initiate sizable public health programs, such as the World Bank Loan Project (WBLP.) In spite of WBLP's achievements, in 2004, after this program ended, a national survey acknowledged a resurgence of schistosomiasis in …
Hepatitis B, C Virus And Hiv Co-Infection Among Reported Female Cases In South Carolina, 2004 - 2011: An Epidemiological Analysis Of Pregnancy Outcomes, Afiba Manza-Azele Agovi
Hepatitis B, C Virus And Hiv Co-Infection Among Reported Female Cases In South Carolina, 2004 - 2011: An Epidemiological Analysis Of Pregnancy Outcomes, Afiba Manza-Azele Agovi
Theses and Dissertations
HIV, hepatitis B and C virus (HBV, HCV) are three of the most common blood-borne infections and they continue to be a major public health problem in the United States (US) and globally. It is not well understood if maternal infection with either HBV or HCV has an adverse impact on pregnancy outcomes as findings from previous studies have provided some mixed results. The overall goal of this study was to assess the risk of preterm birth, low birth weight (LBW), small for gestational age (SGA) and admission into neonatal intensive care unit (NICU) for babies born to HBV- and …
Landscape Epidemiology And Machine Learning: A Geospatial Approach To Modeling West Nile Virus Risk In The United States, Sean Gregory Young
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 …