Bayesian modelling
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Health Disaster Risk Assessment Using GIS and Remote Sensing Techniques: A Case Study of Malaria
Abstract: Malaria, curable and preventable, is a life threatening disease and also can be regarded as a concurrent health disaster. This disease is greatly influenced by environmental factors such as temperature, rainfall, humidity and altitude which affect the survival and longevity of the vector mosquito, and the presence of water bodies which are breeding sites. Advancement in GIS and remote sensing has brought about an improved spatial analysis through the integrated …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 50–59 Read article