What is it about?
Mosquitoes propagate many human diseases, some widespread and with no vaccines. The Ae. aegypti mosquito, specifically, transmit some deadly diseases like Dengue. This study presents a novel statistical approach to model Dengue risk proxy in an urban area based on environmental information obtained from satellite images.
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Why is it important?
As against information from weather stations, satellite images provide consistent sources from which environmental variables can be estimated at high spatial resolution, and at global scale. This study showed an approach to leverage satellite image information for dengue risks modeling and understanding in an urban area. Statistical models are known to be intuitively interpretable, but often less performant than machine learning techniques. In this study, we used a statistical technique that compares well with machine learning. As a result, we obtain a model that is both qualitative and intuitive. Operative epidemiological systems can leverage the proposed method to improve their understanding of Dengue risk drivers in an urban area.
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This page is a summary of: Modeling dengue vector population with earth observation data and a generalized linear model, Acta Tropica, March 2021, Elsevier, DOI: 10.1016/j.actatropica.2020.105809.
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