Network analysis of cattle movements in Ecuador

Vinueza, Rommel Lenin; Durand, Benoı̂t; Zanella, Gina

doi:10.1016/j.prevetmed.2022.105608

Cited by 8 publications

(2 citation statements)

References 36 publications

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“…More than half of the movements (55%) originated from or were destined to markets and shares a similar proportion (53%) with the network analysis of cattle (Vinueza et al., 2022), which would indicate that markets have a central influence on the organisation of trade in both species, which could be related to the marketing structure, the livestock population and dynamics of the economy (Benitez & Sanchez, 2001; Vernon & Keeling, 2009). In addition, markets serve as a bridge between distant premises (Alocilla & Monti, 2022), and also act as principal hubs on the network (Acosta et al, 2022).…”

Section: Discussionmentioning

confidence: 79%

Network analysis of pig movements in Ecuador: Strengthening surveillance of classical swine fever

Acosta

Cárdenas

Pisuna³

et al. 2022

Transbounding Emerging Dis

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The analysis of domestic pig movements has become useful to understand the disease spread patterns and epidemiology, which facilitates the development of more effective animal diseases control strategies. The aim of this work was to analyse the static and spatial characteristics of the pig network, to identify its trading communities and to study the contribution of the network to the transmission of classical swine fever. In this regard, we used the pig movement records from the National Veterinary Service of Ecuador (2017-2019), using social network analysis and spatial analysis to construct a network with registered premises as nodes and their movements as edges. Furthermore, we also created a network of parishes as its nodes by aggregating their premises movements as edges. The annual network metrics showed an average diameter of 20.33, a number of neighbours of 2.61, a shortest path length of 4.39 and a clustering coefficient of 0.38 (small-world structure). The most frequent movements were to or from markets (55%). Backyard producers made up 89% of the network premises, and the top 2% of parishes (highest degree) contributed to 50% of the movements. The highest frequencies of movements between parishes were in the centre of the country, while the highest frequency of movements to abattoirs was in the south-west. Finally, the pattern of classical swine fever (CSF) disease outbreaks within the Ecuador network was likely the result of network transmission processes. In conclusion, our results represented the first exploratory analysis of domestic pig movements at premise and parish levels. The surveillance system could consider these results to improve its procedures and update the disease control and management policy, and allow the implementation of targeted or risk-based surveillance.

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Section: Discussionmentioning

confidence: 79%

Network analysis of pig movements in Ecuador: Strengthening surveillance of classical swine fever

Acosta

Cárdenas

Pisuna³

et al. 2022

Transbounding Emerging Dis

Self Cite

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“…In addition, depending on the disease under study, network properties considered may differ. For instance, network properties related to fast spreading diseases, such as FMD, may vary from properties used to describe risk in bacterial origin diseases such as bovine brucellosis [ 19 ]. Therefore, computing a single high-risk area prioritization from multiple nodal movement network descriptions which reflect particular disease spreading properties constitutes a challenge not only for the disease characterization but also for devising cost-effective epidemic control alternatives [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

A foot and mouth disease ranking of risk using cattle transportation

2023

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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.

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