VenomMaps: Updated species distribution maps and models for New World pitvipers (Viperidae: Crotalinae).
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
25 05 2022
25 05 2022
Historique:
received:
02
11
2021
accepted:
19
04
2022
entrez:
25
5
2022
pubmed:
26
5
2022
medline:
28
5
2022
Statut:
epublish
Résumé
Beyond providing critical information to biologists, species distributions are useful for naturalists, curious citizens, and applied disciplines including conservation planning and medical intervention. Venomous snakes are one group that highlight the importance of having accurate information given their cosmopolitan distribution and medical significance. Envenomation by snakebite is considered a neglected tropical disease by the World Health Organization and venomous snake distributions are used to assess vulnerability to snakebite based on species occurrence and antivenom/healthcare accessibility. However, recent studies highlighted the need for updated fine-scale distributions of venomous snakes. Pitvipers (Viperidae: Crotalinae) are responsible for >98% of snakebites in the New World. Therefore, to begin to address the need for updated fine-scale distributions, we created VenomMaps, a database and web application containing updated distribution maps and species distribution models for all species of New World pitvipers. With these distributions, biologists can better understand the biogeography and conservation status of this group, researchers can better assess vulnerability to snakebite, and medical professionals can easily discern species found in their area.
Identifiants
pubmed: 35614080
doi: 10.1038/s41597-022-01323-4
pii: 10.1038/s41597-022-01323-4
pmc: PMC9132920
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
232Subventions
Organisme : Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico)
ID : 372020
Organisme : National Science Foundation (NSF)
ID : 1822417
Informations de copyright
© 2022. The Author(s).
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