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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 …