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In this research, methods and computational results based on statisticalanalysis and mathematical modelling, data collection in situ in order to make ahazard map of Hanta Virus infection in the region of Araucania, Chile arepresented. The development of this work involves several elements such asLandsat satellite images, biological information regarding seropositivity ofHanta Virus and information concerning positive cases of infection detected inthe region. All this information has been processed to find a function thatmodels the danger of contagion in the region, through logistic regressionanalysis and Artificial Neural Networks

Construction of hazard maps of Hantavirus contagion using Remote  Sensing, logistic regression and Artificial Neural Networks: case Araucan\'ia  Region, Chile