  In this research, methods and computational results based on statistical
analysis and mathematical modelling, data collection in situ in order to make a
hazard map of Hanta Virus infection in the region of Araucania, Chile are
presented. The development of this work involves several elements such as
Landsat satellite images, biological information regarding seropositivity of
Hanta Virus and information concerning positive cases of infection detected in
the region. All this information has been processed to find a function that
models the danger of contagion in the region, through logistic regression
analysis and Artificial Neural Networks
