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

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

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

Suggested Citation

  • Jose Francis V Abrantes & Zenn Ashley P Cariño & Hozeo Luis S Mercado & Fatima N Vicencio & Gio Ray S Sosa & Miguel Angelo M Habaña & Nikki Heherson A Dagamac, 2025. "Identification of Environmental Determinants Involved in the Distribution of Burkholderia pseudomallei in Southeast Asia using MaxEnt software," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 19(1), pages 1-15, January.
    • Handle: RePEc:plo:pntd00:0012684
    DOI: 10.1371/journal.pntd.0012684
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