ArticleScientific reports2020
Applying species distribution models in public health research by predicting snakebite risk using venomous snakes' habitat suitability as an indicating factor.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 32 citations in OpenAlex.
- Climate change triggering shifts in venomous snakes hotspots and snakebite risk in India.Scientific reports · 2025Article
- Future of snakebite risk in India: Consequence of climate change and the shifting habitats of the big four species in next five decades.PLoS neglected tropical diseases · 2025Article
- Using a Machine Learning Approach to Predict Snakebite Envenoming Outcomes Among Patients Attending the Snakebite Treatment and Research Hospital in Kaltungo, Northeastern Nigeria.Tropical medicine and infectious disease · 2025Article
- Challenges and management of venomous bites and scorpion stings in Lebanon: a qualitative study.Frontiers in public health · 2025Article
- Contributions to the knowledge of pitvipers (Viperidae,ZooKeys · 2025Article
- Treatment response and clinical features of snakebite envenomation in Alborz province, Iran: A cross-sectional study.Health science reports · 2024Article
- Combining species distribution models and big datasets may provide finer assessments of snakebite impacts.PLoS neglected tropical diseases · 2024Article
- Proteomic Analysis and Immunoprofiling of Persian Horned Viper Venom,Archives of Razi Institute · 2024Article
- Knowledge in identifying venomous snakes and first aid methods of snakebites among nursing students: A cross-sectional study.PloS one · 2024Article
- Snakebite epidemiology, outcomes and multi-cluster risk modelling in Eswatini.PLoS neglected tropical diseases · 2023Article
- Distribution and habitat assessments of the Slender racer, Orientocoluber spinalis, for the registration of nationally endangered species in the Republic of Korea.Scientific reports · 2023Article
- Identification of Risk Areas forAnimals : an open access journal from MDPI · 2023Article
- Venomous Bites, Stings and Poisoning by European Vertebrates as an Overlooked and Emerging Medical Problem: Recognition, Clinical Aspects and Therapeutic Management.Life (Basel, Switzerland) · 2023Review
- Identifying high snakebite risk area under climate change for community education and antivenom distribution.Scientific reports · 2023Article
- Protozoan Parasites of Iranian Freshwater Fishes: Review, Composition, Classification, and Modeling Distribution.Pathogens (Basel, Switzerland) · 2023Article
- The impact of climate change on the burden of snakebite: Evidence synthesis and implications for primary healthcare.Journal of family medicine and primary care · 2022Article
- Modeling habitat suitability of bats to identify high priority areas for field monitoring and conservation.Environmental science and pollution research international · 2022Article
- Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach.Scientific reports · 2021Article
- Promoting co-existence between humans and venomous snakes through increasing the herpetological knowledge base.Toxicon: X · 2021Article
- Climate change and the increase of human population will threaten conservation of Asian cobras.Scientific reports · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Snakebite envenoming is an important public health problem in Iran, despite its risk not being quantified. This study aims to use venomous snakes' habitat suitability as an indicator of snakebite risk, to identify high-priority areas for snakebite management across the country. Thus, an ensemble approach using five distribution modelling methods: Generalized Boosted Models, Generalized Additive Models, Maximum Entropy Modelling, Generalized Linear Models, and Random Forest was applied to produce a spatial snakebite risk model for Iran. To achieve this, four venomous snakes' habitat suitability (Macrovipera lebetinus, Echis carinatus, Pseudocerastes persicus and Naja oxiana) were modelled and then multiplied. These medically important snakes are responsible for the most snakebite incidents in Iran. Multiplying habitat suitability models of the four snakes showed that the northeast of Iran (west of Khorasan-e-Razavi province) has the highest snakebite risk in the country. In addition, villages that were at risk of envenoming from the four snakes were identified. Results revealed that 51,112 villages are at risk of envenoming from M. lebetinus, 30,339 from E. carinatus, 51,657 from P. persicus and 12,124 from N. oxiana. Precipitation seasonality was identified as the most important variable influencing distribution of the P. persicus, E. carinatus and M. lebetinus in Iran. Precipitation of the driest quarter was the most important predictor of suitable habitats of the N. oxiana. Since climatic variables play an important role in shaping the distribution of the four venomous snakes in Iran, thus their distribution may alter with changing climate. This paper demonstrates application of species distribution modelling in public health research and identified potential snakebite risk areas in Iran by using venomous snakes' habitat suitability models as an indicating factor. Results of this study can be used in snakebite and human-snake conflict management in Iran. We recommend increasing public awareness of snakebite envenoming and education of local people in areas which identified with the highest snakebite risk.
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