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Dengue Risk Mapping in Sri Lanka Using Spatial Interpolation, Machine Learning, and Ensemble Modeling

2026-07-16

Abstract excerpt

<title>Abstract</title> <p>Dengue fever remains one of the most significant mosquito-borne public health challenges in Sri Lanka, with transmission patterns influenced by complex interactions between environmental conditions, population characteristics, and spatial variability. The ability to accurately identify areas with elevated dengue risk is essential for improving disease surveillance, resource allocation,...

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Literature Corpus work
d402b51b-3654-5993-bc98-838abbd21c7a
DOI
10.21203/rs.3.rs-10371857/v1
Open publication

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Dengue Risk Mapping in Sri Lanka Using Spatial Interpolation, Machine Learning, and Ensemble ModelingDOI 10.21203/rs.3.rs-10371857/v1
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