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动物死亡信息系统数据平台(DATASIMA):巴西若昂佩索阿市伴侣动物安乐死原因监测

Data Platform for Animal Mortality Information System (DATASIMA): Monitoring Companion Animal's Euthanasia Causes in City of João Pessoa, Brazil.

作者信息

Sousa Eduardo S S, Sousa Maria E S, Pereira Moisés D C A, Negreiros Ricardo A M, Eloy Lilian R C, Brasil Arthur W L, Clementino Inácio J, Azevedo Sérgio S, Lucena Ricardo B

机构信息

Graduate Program in Animal Health and Science, Center for Rural Health and Technology, Universidade Federal de Campina Grande, Patos 58708-110, Paraiba, Brazil.

Centre for Medical Sciences, Universidade Federal da Paraiba, João Pessoa 58051-900, Paraiba, Brazil.

出版信息

Vet Sci. 2025 Jan 8;12(1):28. doi: 10.3390/vetsci12010028.

DOI:10.3390/vetsci12010028
PMID:39852902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11768661/
Abstract

The literature regarding causes of animal mortality varies greatly in how it evaluates and describes reasons for euthanasia, showing a clear need for tools to identify, standardize, and map diseases. This study describes the application of the Animal Mortality Information System Database (DATASIMA) to monitoring and georeferencing animal mortality. An observational study was conducted on the dogs and cats euthanized at the Municipal Center for Environmental and Zoonotic Surveillance in João Pessoa, Paraíba. The deaths were reported through DATASIMA, an online platform created and developed in Brazil, which is aimed at observing animal mortality through the Animal Death Declaration between April and September 2022. A total of 403 euthanized animals were recorded, including 204 dogs and 199 cats. The most common diseases leading to euthanasia were as follows: (i) Sporotrichosis (171 cats); (ii) Leishmaniasis (75 dogs); (iii) Distemper (35 dogs); (iv) Trauma from vehicle collisions (ten dogs and nine cats). The DATASIMA platform proved to be an effective system for keeping records and reporting causes of animal mortality. Through georeferencing, it was possible to map areas with higher frequencies of zoonotic outbreaks in the municipality studied, thus providing useful data to implement health promotion strategies.

摘要

关于动物死亡原因的文献在评估和描述安乐死原因方面差异很大,这表明显然需要用于识别、规范和绘制疾病的工具。本研究描述了动物死亡信息系统数据库(DATASIMA)在监测动物死亡及地理定位方面的应用。对在帕拉伊巴州若昂佩索阿市环境与动物传染病监测中心实施安乐死的犬猫进行了一项观察性研究。死亡情况通过DATASIMA报告,这是一个在巴西创建和开发的在线平台,旨在通过2022年4月至9月期间的动物死亡申报来观察动物死亡情况。共记录了403只实施安乐死的动物,其中包括204只犬和199只猫。导致安乐死的最常见疾病如下:(i)孢子丝菌病(171只猫);(ii)利什曼病(75只犬);(iii)犬瘟热(35只犬);(iv)车辆碰撞造成的创伤(10只犬和9只猫)。DATASIMA平台被证明是一个用于记录和报告动物死亡原因的有效系统。通过地理定位,能够绘制出所研究城市中人畜共患病爆发频率较高的区域,从而为实施健康促进策略提供有用数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b757/11768661/5c53532f1198/vetsci-12-00028-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b757/11768661/5c53532f1198/vetsci-12-00028-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b757/11768661/5c53532f1198/vetsci-12-00028-g001.jpg

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