Detecting livestock production zones

Grisi-Filho, José Henrique Hildebrand; Amaku, Marcos; Ferreira, Fábio Furlan; Dias, Ricardo Augusto; Neto, José Soares Ferreira; Negreiros, R. L.; Ossada, Raul

doi:10.1016/j.prevetmed.2012.12.013

Cited by 21 publications

(25 citation statements)

References 11 publications

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“…Although at the present AMPs are one of the main tools adopted for traceability, it does not allow individual traceability, since the information they contain concerns animal lots and their movement (Grisi-Filho et al, 2013). This system interferes with the identification of animals or beef products, where individual information is needed (Rocha & Lopes 2002), thus hampering the control of diseases such as bovine cysticercosis.…”

Section: Discussionmentioning

confidence: 99%

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Animal movement network analysis as a tool to map farms serving as contamination source in cattle cysticercosis

et al. 2017

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Bovine cysticercosis is a problem distributed worldwide that result in economic losses mainly due to the condemnation of infected carcasses. One of the difficulties in applying control measures is the identification of the source of infection, especially because cattle are typically acquired from multiple farms. Here, we tested the utility of an animal movement network constructed with data from a farm that acquires cattle from several other different farms to map the major contributors of cysticercosis propagation. Additionally, based on the results of the network analysis, we deployed a sanitary management and drug treatment scheme to decrease cysticercosis’ occurrence in the farm. Six farms that had commercial trades were identified by the animal movement network and characterized as the main contributors to the occurrence of cysticercosis in the studied farm. The identification of farms with a putative risk of Taenia saginata infection using the animal movement network along with the proper sanitary management and drug treatment resulted in a gradual decrease in cysticercosis prevalence, from 25% in 2010 to 3.7% in 2011 and 1.8% in 2012. These results suggest that the animal movement network can contribute towards controlling bovine cysticercosis, thus minimizing economic losses and preventing human taeniasis.

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Section: Discussionmentioning

confidence: 99%

“…The AMP is an official and compulsory document for any animal movement and retains information on the origin, destination, purpose, species and number of animals being transported (Brasil 2006b). However, AMPs do not allow individual traceability, since the information concerns animal lots and their movement (Grisi-Filho et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Animal movement network analysis as a tool to map farms serving as contamination source in cattle cysticercosis

et al. 2017

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“…(). This algorithm is based on the calculation of LinkRank, a concept derived from Google's PageRank (Brin & Page, ) that takes into account the incoming links of a given municipality and the incoming links of its neighbours (Grisi‐Filho et al., ). We also calculated the modularity of this network, based on the results of the trade groups (communities) as a measure of how good the communities were aggregated or how separated the different municipalities are from each other.…”

Section: Methodsmentioning

confidence: 99%

Burkholderia mallei : The dynamics of networks and disease transmission

Cárdenas

Galvis

Farinati

et al. 2018

Transbound Emerg Dis

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Glanders is a highly infectious zoonotic disease caused by Burkholderia mallei. The transmission of B. mallei occurs mainly by direct contact, and horses are the natural reservoir. Therefore, the identification of infection sources within horse populations and animal movements is critical to enhance disease control. Here, we analysed the dynamics of horse movements from 2014 to 2016 using network analysis in order to understand the flow of animals in two hierarchical levels, municipalities and farms. The municipality‐level network was used to investigate both community clustering and the balance between the municipality's trades and the farm‐level network associations between B. mallei outbreaks and the network centrality measurements, analysed by spatio‐temporal generalized additive model (GAM). Causal paths were established for the dispersion of B. mallei outbreaks through the network. Our approach captured and established a direct relationship between movement of infected equines and predicted B. mallei outbreaks. The GAM model revealed that the parameters in degree and closeness centrality out were positively associated with B. mallei. In addition, we also detected 10 communities with high commerce among municipalities. The role of each municipality within the network was detailed, and significant changes in the structures of the network were detected over the course of 3 years. The results suggested the necessity to focus on structural changes of the networks over time to better control glanders disease. The identification of farms with a putative risk of B. mallei infection using the horse movement network provided a direct opportunity for disease control through active surveillance, thus minimizing economic losses and risks for human cases of B. mallei.

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“…The state of Mato Grosso (MT) had the largest cattle herd (25.7 million cattle) in Brazil in 2007(IBGE, 2015. Since the herd size of a given premises could vary during the year, we calculated the mean between the herd size on December 31, on December 31, 2007, to The aims of the present study were twofold: first, to compare positive and negative herds identified in the brucellosis survey conducted in 2003, regarding the centrality measures in the network of bovine movements in the state of Mato Grosso, Brazil, in 2007; and second, to examine the association between herd size (particularly females older than 24 months, denoted FEM24+) and animal trade.…”

Section: Databasementioning

confidence: 99%

Section: Databasementioning

confidence: 99%

Cattle movement network, herd size, and bovine brucellosis in the State of Mato Grosso, Brazil

Cipullo

Grisi-Filho

Dias

et al. 2016

SCA

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The aims of the present study were to compare centrality and other measures of bovine movement networks in the state of Mato Grosso, Brazil, in 2007, by examination of the positive and negative herds identified in the brucellosis survey conducted in 2003. In addition, we aimed to examine the association between herd size (measured by the number of females older than 24 months, denoted FEM24+) and animal trade between herds. We found a statistical association between brucellosis occurrence and both the total degree (number of traded animals) and out-degree (for the number of animals sold and the number of neighboring herds). This finding suggests that positive herds in the 2003 survey were trading (particularly selling) more frequently in 2007 than negative herds, thereby presumably increasing the risk of disease spread. Statistical differences observed (p-values) in the network of movements for reproduction purposes were more significant than those observed in other networks for average herd size; degrees of animals, batches, and neighbors; outdegree of neighbors; and betweenness. We found positive associations (p < 0.001) between the following variables: number of traded animals and the FEM24+ herd size; FEM24+ herd size and FEM24+ herd size of neighbors within the network of cattle movement; FEM24+ herd size of neighbors and number of traded animals; and weighted degree (animals) of neighbors and degree (animals) of the herd of origin. A comparison of positive and negative herds stratified by herd size (≤ 10 FEM24+; and > 50 FEM24+), within the network of movements for reproduction purposes, revealed significant differences (p < 0.05) in the > 50 FEM24+ category only, for average herd size, total degree (animals, batches, and neighbors), outdegree (animals, batches, and neighbors), and outcloseness. Logistic regression analysis, in which average herd size and degree (animals) were both factors, showed that a tenfold increase in herd size and the number of animals traded would lead to an increased chance of a herd being positive by 41% (OR = 1.41 [1.01; 1.99]) and 39% (OR = 1.39 [1.05; 1.85]), respectively. We concluded that the presence of bovine brucellosis is associated with a larger herd size, which is consistent with other reports. We also found an association between the increased trade of bovines and the presence of bovine brucellosis. Furthermore, an association was noted between herd size and animal trade, both of which could contribute to the spread of brucellosis. ResumoO objetivo do presente estudo foi comparar medidas de centralidade e outras medidas da rede de trânsito bovino no estado de Mato Grosso, Brasil, em 2007, pela análise de rebanhos positivos e negativos identificados no levantamento de brucelose realizado em 2003. Além disso, examinamos a associação entre tamanho de rebanho (medido pelo número de fêmeas acima de 24 meses, denotado FEM24+) e o comércio animal entre rebanhos. Foi observada uma associação estatística entre brucelose e tanto o grau total (número de animais comerci...

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Detecting livestock production zones

Cited by 21 publications

References 11 publications

Animal movement network analysis as a tool to map farms serving as contamination source in cattle cysticercosis

Animal movement network analysis as a tool to map farms serving as contamination source in cattle cysticercosis

Burkholderia mallei : The dynamics of networks and disease transmission

Cattle movement network, herd size, and bovine brucellosis in the State of Mato Grosso, Brazil

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