Geospatial analysis of Aedes poicilius, vector of Bancroftian Filariasis in the Philippines
- PMID: 40458515
- PMCID: PMC12126396
- DOI: 10.1007/s12639-024-01766-z
Geospatial analysis of Aedes poicilius, vector of Bancroftian Filariasis in the Philippines
Abstract
Bancroftian filariasis, one of the Philippines' neglected tropical diseases, is a parasitic disease caused by Wuchereria bancrofti and transmitted by Aedes poicilius, which thrive in the Musa plantations abundant in certain Philippine regions. Eliminating this disease is far from being achieved, thus emphasizing the need for a better control or elimination program by constructing a contemporary predictive model of the mosquito, A. poicilius, and identifying key environmental variables that favor the mosquito species. Modeling of the distribution of lymphatic filariasis was divided into two phases: data collection of disease occurrences and environmental variables from 1985 to 2019 and model calibration and testing utilizing the MaxEnt algorithm. Model sensitivity was validated through the area under the curve (AUC) method. The model had a mean training AUC of 0.995 ± 0.001. The Jackknife test was performed to determine the effect of the assessed variables on the prevalence of the disease and revealed that isothermality has the highest gain when used in isolation. The total frequency of lymphatic filariasis was mapped using the QGIS software to exhibit the suitability of agricultural plantations as breeding grounds for A. poicilius populations.
Keywords: Elephantiasis; Maxent; Mosquito; Neglected tropical disease; Vector-borne disease.
© Indian Society for Parasitology 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Conflict of interest statement
Competing interestsThe authors declare no competing interests.
References
-
- Almadrones-Reyes KJ, Dagamac NHA (2018) Predicting local habitat suitability in changing climate scenarios: applying species distribution modeling for Diderma hemisphaericum. Curr Res Environ App Mycol 8(5):492–500. 10.5943/cream/8/5/2
-
- Aure W, Torno M, Malijan RP, Cruz E, Hernandez L, Baquilod M, Bangs M, Salazar FV (2016) Investigation of mosquitoes with emphasis on Aedes (Finlaya) Poicilius, putative vector of bancroftian filariasis on Panay Island, the Philippines. Southeast Asian J Trop Med Public Health 47(5):912–926 PMID: 29620345 - PubMed
-
- Buebos-Esteve DE, Dagamac NHA (2024) Spatiotemporal models of dengue epidemiology in the Philippines: integrating remote sensing and interpretable machine learning. Acta Trop 255:107225. 10.1016/j.actatropica.2024.107225 - PubMed