Ten years of snakebites in Iran

Dehghani, Rouhullah; Fathi, Behrooz; Shahi, Morteza Panjeh; Jazayeri, Mehrdad

doi:10.1016/j.toxicon.2014.08.063

Cited by 55 publications

(64 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most cases of snake bites occurred in the South and Southwest provinces of Iran. The highest incidence of snake bites was 6231 cases reported in 2016 and the lowest incidence was 4696 cases reported in 2010 (23). Therefore, as the actual data on the incidence of scorpion sting and snake bite are not easily available, different sources were used to collect the related data.…”

Section: Estimation Of Incidencementioning

confidence: 99%

Economic Burden of Scorpion Sting and Snake Bite from a Social Perspective in Iran

et al. 2017

View full text Add to dashboard Cite

Background: Iran is one of the countries with a high incidence of venomous animal bites, especially scorpion stings and snake bites. As a result, paying inadequate attention to education and prevention programs can impose considerable economic and social costs on the country. Thus, this study aimed to determine the economic burden of snake bite and scorpion sting through identifying direct and indirect costs imposed on the patients in the country.

show abstract

Section: Estimation Of Incidencementioning

confidence: 99%

Economic Burden of Scorpion Sting and Snake Bite from a Social Perspective in Iran

et al. 2017

View full text Add to dashboard Cite

show abstract

“…On Earth, between 421,000 and 1.2 million people are envenomed by venomous snakes annually and around 125,000 deaths per year are attributable to snakebite envenoming [1, 6, 14, 15]. Snakebite envenoming is mostly described as a neglected public health issue in the tropics, [2, 6, 16, 17] however, it is also an important challenge for public health in temperate areas like Iran [18].…”

Section: Introductionmentioning

confidence: 99%

“…Iran is home to 81 snake species [19, 14] of which 25 are venomous (Nine species are sea snakes and 16 species are terrestrial snakes). Macrovipera lebetina, Echis carinatus, Pseudocerastes persicus and Naja oxiana are widespread in Iran and are responsible for the most snakebite incidents in the country [18, 21]. A study reported 53,787 cases of snake bites between 2002 and 2011 in Iran [18].…”

Section: Introductionmentioning

confidence: 99%

“…Macrovipera lebetina, Echis carinatus, Pseudocerastes persicus and Naja oxiana are widespread in Iran and are responsible for the most snakebite incidents in the country [18, 21]. A study reported 53,787 cases of snake bites between 2002 and 2011 in Iran [18]. Despite considerable research into the phylogeny, taxonomy, morphology and ecology of venomous snakes in Iran [22, 31] snakebite envenoming has received less attention [18, 32].…”

Section: Introductionmentioning

confidence: 99%

“…A study reported 53,787 cases of snake bites between 2002 and 2011 in Iran [18]. Despite considerable research into the phylogeny, taxonomy, morphology and ecology of venomous snakes in Iran [22, 31] snakebite envenoming has received less attention [18, 32]. In fact, snakebite is an important uninvestigated public health problem and conservation challenge in Iran [33-35].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Yousefi

Kafash

Khani³

et al. 2020

Preprint

View full text Add to dashboard Cite

22Snakebite envenoming is an important public health problem in Iran, despite its risk not 23 being quantified. This study aims to use venomous snakes' habitat suitability as an 24 indicator of snakebite risk, to identify high-priority areas for snakebite management 25 across the country. Thus, an ensemble approach using five distribution modeling 26 methods: Generalized Boosted Models, Generalized Additive Models, Maximum Entropy 27 Modeling Generalized Linear Models, and Random Forest was applied to produce a 28 spatial snakebite risk model for Iran. To achieve this, four venomous snakes' habitat 29 suitability (Macrovipera lebetina, Echis carinatus, Pseudocerastes persicus and Naja 30 oxiana) were modeled and then multiplied. These medically important snakes are 31 responsible for the most snakebite incidents in Iran. Multiplying habitat suitability 32 models of the four snakes showed that the northeast of Iran (west of Khorasan-e-Razavi 33 province) has the highest snakebite risk in the country. In addition, villages that were at 34 risk of envenoming from the four snakes were identified. Results revealed that 51,112 35 villages are at risk of envenoming from M. lebetina, 30,339 from E. carinatus, 51,657 36 from P. persicus and 12,124 from N. oxiana. This paper demonstrates application of 37 species distribution modeling in public health research and identified potential snakebite 38 risk areas in Iran by using venomous snakes' habitat suitability models as an indicating 39 factor. Results of this study can be used in snakebite and human-snake conflict 40 management in Iran. We recommend increasing public awareness of snakebite 3 41 envenoming and education of local people in areas which identified with the highest 42 snakebite risk. 43 4 62 identifying environmental drivers of species distribution [42−45] and predicting impacts 63 of climate change on biodiversity [46−51]. SDMs are successfully used to identify 64 suitable habitats of species even in areas with no distribution records [52−54]. Thus, 65 these models can be used to identify suitable habitats of venomous snakes as proxies of 66 snakebite risk [12, 55−57] in data poor regions like Iran. 67 The main goal of this paper was to apply SDMs and produce a spatial risk model 68 for snakebite in Iran. To do this, firstly, five distribution modeling methods [38]: 69 Generalized Boosted Models, Generalized Additive Models, Maximum Entropy 70 Modeling Generalized Linear Models, and Random Forest and distribution data of M. 71 lebetina, E. carinatus, P. persicus and N. oxiana were to produce their habitat suitability 72 models. Secondly, the five habitat suitability models [38−58] of each species were 73combined by ensemble approach and finally the four species ensemble models were 74 multiplied to identify potential snakebite risk. We also in addition, number of villages 75 that are at risk of envenoming by these four snakes determined in Iran. 76 77 Materials and methods 78 Occurrence data 79 Distribution records of the M. lebetina, E. carinatus, P. per...

show abstract

Massive cutaneous complications due to snakebite: A case report and literature review

Sadeghi

Barazandeh

Zakariaei

et al. 2021

Clinical Case Reports

View full text Add to dashboard Cite

show abstract

Ten years of snakebites in Iran

Cited by 55 publications

References 15 publications

Economic Burden of Scorpion Sting and Snake Bite from a Social Perspective in Iran

Economic Burden of Scorpion Sting and Snake Bite from a Social Perspective in Iran

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

Massive cutaneous complications due to snakebite: A case report and literature review

Contact Info

Product

Resources

About