Apr 6, 2020

Developing snakebite risk model using venomous snake habitat suitability as an indicating factor: An application of species distribution models in public health research

BioRxiv : the Preprint Server for Biology
Masoud YousefiN. Nabati

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 modeling methods: Generalized Boosted Models, Generalized Additive Models, Maximum Entropy Modeling 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 ( Macro vipera lebetina , Echis carinatus , Pseudocerastes persicus and Naja oxiana ) were modeled 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 . lebetina , 30,339 from E . carinatus , 51,657 from P . persicus and 12,124 from N . oxiana . This...Continue Reading

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Mentioned in this Paper

Computer Software
Genome-Wide Association Study
Genome
Objective (Goal)
Genomics
Mapping, Vessel
Approach
Motivation
LGALS3BP gene
EAF2 gene

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