ArticleEcology and evolution2025
Applying Ensemble Ecological Niche Modeling to Identify High Risk Areas for Scorpions' Sting.
Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Post-establishment environmental suitability ofOne health (Amsterdam, Netherlands) · 2026Article
- Modeling vehicle collision risk for the jungle cat in the Hyrcanian forests of Iran: A guide for vehicle collision prevention.PloS one · 2026Article
- Applying Ensemble Ecological Niche Modeling to Identify High Risk Areas for Scorpions' Sting.Ecology and evolution · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scorpion stings are a global health problem, potentially impacting thousands, especially across northern Africa and the Middle East. However, scorpions are comparatively understudied compared to other venomous animals, and little is known about their distributions and associated spatial patterns of sting risk. Timely access to medical treatment after scorpion stings is crucial to positive medical outcomes, but it remains poorly understood how accessible health care is for populations at risk. Thus, mapping hotspots of sting risk and identifying vulnerable populations can greatly enhance mitigation strategies. In this study, we used ecological niche models to map the distribution of eight of the most dangerous scorpion species to quantify sting risk across Iran. We identified the areas where people are most vulnerable to scorpion stings based on exposure to scorpions and limited accessibility to healthcare centers. We identified sting risk areas for each species across their distribution ranges.
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