Maduwage Kalana, Karunathilake Parackrama, Gutiérrez José María
Department of Biochemistry, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka.
Department of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka.
Toxicon. 2022 Jan 15;205:24-30. doi: 10.1016/j.toxicon.2021.11.007. Epub 2021 Nov 11.
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.
蛇是具有重大生物医学意义的爬行动物。准确识别蛇类对于医护人员诊断和治疗蛇咬伤中毒受害者尤为重要。此外,蛇类识别对普通民众也至关重要,尤其是对生活在蛇咬伤高发地区的人们。由于蛇类种类繁多且一些物种之间外观相似,正确识别这些爬行动物往往很困难。因此,对于医护人员、生物学家、博物学家和普通民众来说,识别蛇类物种具有挑战性。为了克服这一挑战,我们在斯里兰卡开发了一项基于网络的蛇类识别服务(www.snakesidentification.org),该服务由经验丰富的爬虫学家提供快速准确的识别。在40个月的时间里,这项服务收到了486份识别请求。大多数请求来自科伦坡地区[140份(28.8%)],不过其中只有63份(13.0%)被确认为具有医学重要性的蛇类。大多数[389份(80.0%)]请求涉及微毒的游蛇科蛇类或无毒物种。样本包括该岛107种蛇类中的30种,其中有8种是特有物种。有315份(64.8%)请求与活蛇有关。在大多数情况下(285份,90.4%),蛇在被识别后被放归到最近的合适栖息地。回应请求的中位时间为70分钟(四分位间距为23 - 299分钟)。提出请求的大多数人(283人,58.2%)无法识别蛇类。对于那些尝试识别蛇类的人来说,只有59人(12.1%)做出了正确识别,而144人(29.6%)识别错误。这项基于网络的蛇类识别服务提供了一个快速蛇类识别成功且有用的模型示例。类似的模型可以在其他地区和国家实施,以便为医护人员和普通公众提供关于蛇类识别的准确信息。