Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/60142
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMaduwage, Kalanaen
dc.contributor.authorKarunathilake, Parackramaen
dc.contributor.authorMaría Gutiérrez, Joséen
dc.date.accessioned2024-05-28T23:48:08Z-
dc.date.available2024-05-28T23:48:08Z-
dc.date.issued2022-01-15-
dc.identifier.citationToxicon, v.205, p. 24-30en
dc.identifier.issn2590-1710en
dc.identifier.issn0041-0101en
dc.identifier.urihttps://hdl.handle.net/1959.11/60142-
dc.description.abstract<p>Snakes are reptiles of great biomedical significance. The accurate identification of snakes is particularly important for healthcare workers to diagnose and treat victims of snakebite envenoming. Further, snake identification is vital for the general population, especially to those who live in areas of high snakebite incidence. Owing to the great diversity of snakes and the superficial similarities between some species, the correct identification of these reptiles is often difficult. Therefore, identification of snake species is challenging for healthcare workers, biologists, naturalists, and the general population. To overcome this challenge, we developed a web-based snake identification service (www.snakesidentification.org) in Sri Lanka, which provides rapid and accurate identification by experienced herpetologists. This service received 486 identification requests over a period of 40 months. The majority of requests were from Colombo District [140 (28.8%)], though only 63 (13.0%) of these were identified as medically important snakes. The majority [389 (80.0%)] of the requests related either to feebly venomous colubrid snakes or non-venomous species. The sample included 30 (of 107) snake species in the island, including 8 endemic species. There were 315 (64.8%) requests relating to live snakes. In the majority of cases (285, 90.4%), the snake was released to the closest available habitat after being identified. The median time taken to respond to requests was 70 min (interquartile range 23–299 min). The majority of persons making requests (283, 58.2%) were unable to identify the snakes. For those who attempted identification the snakes, correct identification was made by only 59 (12.1%), whereas 144 (29.6%) identified the snake incorrectly. This web-based snake identification service provides an example of a successful and useful model of rapid snake identification. Similar models could be implemented in other regions and countries to provide accurate information on snake identification both to the healthcare workers and the general public.</p>en
dc.languageenen
dc.publisherElsevier Ltden
dc.relation.ispartofToxiconen
dc.titleWeb-based snake identification service: A successful model of snake identification in Sri Lankaen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.toxicon.2021.11.007en
local.contributor.firstnameKalanaen
local.contributor.firstnameParackramaen
local.contributor.firstnameJoséen
local.profile.schoolSchool of Science & Technologyen
local.profile.emailkmaduwag@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage24en
local.format.endpage30en
local.peerreviewedYesen
local.identifier.volume205en
local.title.subtitleA successful model of snake identification in Sri Lankaen
local.contributor.lastnameMaduwageen
local.contributor.lastnameKarunathilakeen
local.contributor.lastnameMaría Gutiérrezen
dc.identifier.staffune-id:kmaduwagen
local.profile.orcid0000-0001-5351-808Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/60142en
local.date.onlineversion2021-11-11-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleWeb-based snake identification serviceen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMaduwage, Kalanaen
local.search.authorKarunathilake, Parackramaen
local.search.authorMaría Gutiérrez, Joséen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/c44919dd-1384-489e-8233-cd325e84676ben
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2021en
local.year.published2022en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/c44919dd-1384-489e-8233-cd325e84676ben
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/c44919dd-1384-489e-8233-cd325e84676ben
local.subject.for20203205 Medical biochemistry and metabolomicsen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-05-29en
Appears in Collections:Journal Article
School of Science and Technology
Files in This Item:
1 files
File SizeFormat 
Show simple item record

SCOPUSTM   
Citations

8
checked on Feb 8, 2025
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.