Change Allocation in Spatially-Explicitly Models for Aedes Aegypti Population Dynamics.

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.

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