Facultad de Medicina Veterinaria y de Zootecnia, Departamento de Producción Animal, Universidad Nacional de Colombia, Bogotá, Colombia.
Laboratorio de Analítica de Datos (Datalab), Universidad Nacional de Colombia, Bogotá, Colombia.
PLoS One. 2023 Apr 13;18(4):e0284180. doi: 10.1371/journal.pone.0284180. eCollection 2023.
Foot-and-mouth disease (FMD) is a highly infectious condition that affects domestic and wild cloven-hoofed animals. This disease has substantial economic consequences. Livestock movement is one of the primary causes of disease dissemination. The centrality properties of the livestock mobilization transportation network provide valuable information for surveillance and control of FMD. However, the same transportation network can be described by different centrality descriptions, making it challenging to prioritize the most vulnerable nodes in the transportation network. This work considers the construction of a single network risk ranking, which helps prioritize disease control measurements. Results show that the proposed ranking constructed on 2016 livestock mobilization data may predict an actual outbreak reported in the Cesar (Colombia) region in 2018, with a performance measured by the area under the receiver operating characteristic curve of 0.91. This result constitutes the first quantitative evidence of the predictive capacity of livestock transportation to target FMD outbreaks. This approach may help decision-makers devise strategies to control and prevent FMD.
口蹄疫(FMD)是一种高度传染性疾病,影响家养和野生偶蹄动物。这种疾病会造成巨大的经济后果。牲畜的移动是疾病传播的主要原因之一。牲畜调动运输网络的中心性特征为 FMD 的监测和控制提供了有价值的信息。然而,相同的运输网络可以用不同的中心性描述来描述,这使得在运输网络中确定最脆弱的节点变得具有挑战性。这项工作考虑构建一个单一的网络风险排名,以帮助优先考虑疾病控制措施。结果表明,基于 2016 年牲畜调动数据构建的排名可能会预测到 2018 年在哥伦比亚 Cesar 地区报告的实际疫情爆发,其表现通过接收者操作特征曲线下的面积来衡量,为 0.91。这一结果构成了牲畜运输对 FMD 疫情的预测能力的第一个定量证据。该方法可以帮助决策者制定控制和预防 FMD 的策略。