Determination of dengue high-risk areas in the Philippines: a kernel density estimation, inverse distance weighting, and ecological niche modeling

This study represents the first application of ecological niche modeling to dengue in the Philippines. The integration of KDE, IDW, and maximum entropy model provides a robust framework for identifying high-risk areas and key determinants, emphasizing the role of urbanization in dengue distribution. These findings are valuable to authorities for an informed risk-based surveillance, genotype-specific monitoring, and decision-making for geospatially targeted disease risk management.

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Publication Details

Journal
Parasites & Vectors
Published
2025-12-23
DOI
https://doi.org/10.1186/s13071-025-07200-4
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Determination of dengue high-risk areas in the Philippines: a kernel density estimation, inverse distance weighting, and ecological niche modeling

A. Thongprachum, Veerasak Punyapornwithaya, Napaphat Poprom, Kenny Oriel A. Olana et al.
Parasites & Vectors
Mosquito-borne diseases and control
article

Determination of dengue high-risk areas in the Philippines: a kernel density estimation, inverse distance weighting, and ecological niche modeling

A. Thongprachum, Veerasak Punyapornwithaya, Napaphat Poprom, Kenny Oriel A. Olana, Wengui Li
article en

Abstract

This study represents the first application of ecological niche modeling to dengue in the Philippines. The integration of KDE, IDW, and maximum entropy model provides a robust framework for identifying high-risk areas and key determinants, emphasizing the role of urbanization in dengue distribution. These findings are valuable to authorities for an informed risk-based surveillance, genotype-specific monitoring, and decision-making for geospatially targeted disease risk management.

Parasites & VectorsVol. 19(1)
Visayas State University (PH), Yunnan Agricultural University (CN), Chiang Mai University (TH)
Openalex Percentile: Top 27%
Mosquito-borne diseases and control
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