Brazil: A study was recently conducted in the Vale do Amanhecer rural settlement of Brazil to identify and analyse the relative likelihood and socio-environmental determinants of malaria infection. The aim of the study was to use the GIS system and logistics regression as tools gather data about the infection. A GIS database of georeferenced malaria cases, recorded in 2005, and multiple explanatory data layers was built, based on a multispectral Landsat 5 TM image, digital map of the settlement blocks and a SRTM digital elevation model.
Satellite imagery was used to map the spatial patterns of land use and cover (LUC) and to derive spectral indices of vegetation density (NDVI) and soil/vegetation humidity (VSHI). The malaria risk model was generated by multiple logistic regression, in which environmental factors were considered as independent variables and the number of cases, binarized by a threshold value was the dependent variable.
Source: 7th space