Dengue fever represents a great challenge for many countries, and methodologies to prevent and/or control its transmission have been largely discussed by the research community. Modeling is a powerful tool to understand epidemic dynamics and to evaluate costs, benefits and effectiveness of control strategies. In order to assist decision-makers and… (More)
This work proposes a new approach to couple Aedes aegypti population dynamic models with local scale spatially-explicit computational models for the Geographical Space. A geographic database was developed for a neighborhood in Rio de Janeiro, RJ, and used to estimate the spatial pattern of mosquito infestation to estimate areas of epidemic risk.