Identification of Environmental Determinants Involved in the Distribution of Burkholderia pseudomallei in Southeast Asia using MaxEnt software

Jose Francis V Abrantes, Zenn Ashley P Cariño, Hozeo Luis S Mercado, Fatima N Vicencio, Gio Ray S Sosa, Miguel Angelo M Habaña and Nikki Heherson A Dagamac

PLOS Neglected Tropical Diseases, 2025, vol. 19, issue 1, 1-15

Abstract: Burkholderia pseudomallei (Bp), causing melioidosis, is becoming a major global public health concern. It is highly endemic in Southeast Asia (SEA) and Northern Australia and is persisting beyond the established areas of endemicity. This study aimed to determine the environmental variables that would predict the most suitable ecological niche for this pathogenic bacterium in SEA by maximum entropy (MaxEnt) modeling. Systematic review and meta-analysis of data for melioidosis were obtained from public databases such as PubMed, Harmonized World Soil (HWSD) and WorldClim. The potential map showing the environmental layers was processed by ArcGIS, and the prediction for the probability of habitat suitability using MaxEnt software (version 3·4·4) and ENMeval R-based modeling tools was utilized to generate the distribution map with the best-fit model. Both bioclimatic and edaphic predictors were found to be the most important niche-determining environmental variables affecting the geographical distribution of Bp. The highest probability of suitability was predicted in areas with mean temperature of the wettest quarter at ≥26°C, annual precipitation of

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pntd00:0012684

DOI: 10.1371/journal.pntd.0012684

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