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Full-Text Articles in Veterinary Medicine
Epidemiology And Molecular Characterization Of Human And Canine Hookworm, Ntombi B. Mudenda
Epidemiology And Molecular Characterization Of Human And Canine Hookworm, Ntombi B. Mudenda
LSU Doctoral Dissertations
Among the soil-transmitted helminths (STH), hookworms are a worldwide problem in both humans and animals. They cause non-specific gastrointestinal symptoms, and in young children and animals, they can cause stunting, malnutrition and anemia. Canine hookworms have significant zoonotic potential as a cause of cutaneous larvae migrans and eosinophilic enteritis in humans. To determine the ecological niche of human hookworm in Brazil, two risk models were developed based on the Growing Degree Day-Water Budget (GDD-WB) concept, one based on accumulation of monthly temperatures above a base temperature of 15oC and threshold WB value >0.4. The second was based on a ‘gradient …
Mapping And Modeling Of Neglected Tropical Diseases In Brazil And Bolivia, Paula Mischler
Mapping And Modeling Of Neglected Tropical Diseases In Brazil And Bolivia, Paula Mischler
LSU Doctoral Dissertations
Accurately defining disease distributions and calculating disease risk is an important step in the control and prevention of diseases. This study used geographical information systems and remote sensing technologies within the MaxEnt ecological niche modeling program to create predictive risk maps for leprosy and Schistosomiasis in Brazil and Chagas disease in both Brazil and Bolivia. New disease cases were compiled for leprosy, Schistosomiasis, and Chagas disease from the Brazilian ministry of Health for 2001 to 2009 and the data was stratified to a 10,000 population for each municipality. Bolivian Chagas prevalence rates were calculated from 2007 to 2009 survey data. …
Ecological Risk Models For Visceral Leishmaniais [Sic] In Bahia, Brazil And Diagnosis Of Trypanosoma Cruzi Infection In Dogs In South Central Louisiana, Prixia Nieto
LSU Doctoral Dissertations
Three predictive models were developed within a geographic information system using earth observing satellite remote sensing (RS), the Genetic Algorithm for Rule-Set Prediction (GARP) and the growing degree day-water budget (GDD-WB) concept to predict the distribution and potential risk of visceral leishmaniasis (VL) in the State of Bahia, Brazil. The objective was to define the environmental suitability of the disease as well as to obtain a deeper understanding of the eco-epidemiology of VL by associating environmental and climatic variables with disease prevalence. The RS, the GARP model and the GDD-WB model, using different analysis approaches and with the same human …
Developing Risk Assessment Maps For Schistosoma Haematobium In Kenya Based On Climate Grids And Remotely Sensed Data, Kelsey Lee Mcnally
Developing Risk Assessment Maps For Schistosoma Haematobium In Kenya Based On Climate Grids And Remotely Sensed Data, Kelsey Lee Mcnally
LSU Master's Theses
It is important to be able to predict the potential spread of water borne diseases when building dams or redirecting rivers. This study was designed to test whether the use of a growing degree day (GDD) climate model and remotely sensed data (RS) within a geographic information system (GIS), could be used to predict both the distribution and severity of Schistosoma haematobium. Growing degree days are defined as the number of degrees centigrade over the minimum temperature required for development. The base temperature and the number of GDD required to complete one generation varies for each species. A monthly climate …