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[1]
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A novel hybrid model for species distribution prediction of soil-transmitted helminthiasis (STH) under soil temperature conditions using Random Forest and Particle Swarm Optimization Algorithm
Scientific Reports,
2026
DOI:10.1038/s41598-025-31604-y
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[2]
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Predicting the localized prevalence of ascariasis in the Philippines using bioclimatic and topographical covariates: a case study in Cavite province
Journal of Parasitic Diseases,
2025
DOI:10.1007/s12639-025-01810-6
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[3]
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Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data
PLOS One,
2025
DOI:10.1371/journal.pone.0320531
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[4]
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Predicting the potential nationwide distribution of the snail vector, Oncomelania hupensis quadrasi, in the Philippines using the MaxEnt algorithm
Parasitology Research,
2024
DOI:10.1007/s00436-023-08032-w
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[5]
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Spatial Map of Geohelminths Infection in Agricultural Communities and its Contamination in Soil of Jatian Village, Jember Regency
JURNAL KESEHATAN LINGKUNGAN ,
2023
DOI:10.20473/jkl.v15i4.2023.309-316
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[6]
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Geospatial distribution and predictive modeling of onchocerciasis in Ogun State, Nigeria
PLOS ONE,
2023
DOI:10.1371/journal.pone.0281624
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[7]
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Estimating the population at risk with soil transmitted helminthiasis and annual drug requirements for preventive chemotherapy in Ogun State, Nigeria
Scientific Reports,
2022
DOI:10.1038/s41598-022-06012-1
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