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Fine-scale environmental suitability mapping of Aedes aegypti
Effective control of Aedes aegypti is critical for reducing the global burden of vector-borne diseases such as dengue fever, which causes an estimated 400 million infections and 40,000 deaths annually. This session explores innovative approaches to mapping the spatiotemporal distribution of Ae. aegypti, with a focus on urban environments where most infections occur. Traditional sample-based entomological surveillance often fails to capture the fine-scale spatial variability of Ae. aegypti, driven by heterogeneous urban landscapes and the mosquitoes’ limited flight range. The presentation highlights methods that leverage geospatial big data, including satellite imagery and street-level images, to identify common breeding habitats and predict seasonal suitability for eggs and larvae at a 200 m resolution in Rio de Janeiro, Brazil. Participants learn how microhabitat and macrohabitat indicators can explain up to 74% of the observed variation in ovitrap and larval counts, and how spatiotemporal interpolations provide high-resolution insights into mosquito distribution that conventional surveillance cannot achieve. This session is ideal for researchers, public health professionals, and data scientists interested in AI-assisted mosquito monitoring, high-resolution urban mapping, and data-driven vector control strategies.
Speakers:
Steffen Knoblauch
Postdoctoral Researcher and Lecturer, Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University
Moderators:
Maria Piles
Senior Researcher, Universitat de València
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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
