Spatio-temporal network analysis of pig trade to inform the design of risk-based disease surveillance.

Network analysis is a powerful tool to describe, estimate, and predict the role of pig trade in the spread of pathogens and generate essential patterns that can be used to understand, prevent, and mitigate possible outbreaks. This study aimed to describe the network between premises such as production herds, slaughterhouses, and traders of pig movements and identify heterogeneities in the connectivity of premises in the state of Santa Catarina, Brazil, using social network analysis (SNA). We used static and temporal network approaches to describe pig trade in the state by quantifying network attributes using SNA parameters, such as causal fidelity, loyalty, the proportion of node-loyalty, resilience of outgoing contact chains, and communities. Two indexes were implemented, the first one is a normalized index based on SNA-farm level measures and other index-based SNA-farm level measures considering the swineherd population size from all premises, both indexes were summarized by a municipality to target and rank surveillance activities. Within Santa Catarina, the southwest region played a key role in that 80 % of trade was concentrated in this region, and thus acted as a hub in the network. Besides, nine communities were found. The results also showed that premises were highly connected in the static network, with the network exhibiting low levels of fragmentation and loyalty. Also, just 11 % of the paths in the static network existed in the temporal network which accounted for the order in which edges occurred. Therefore, the use of time-respecting-paths was essential to not overestimate potential transmission pathways and outbreak sizes. Compared to static networks, the application of temporal network approaches was more suitable to capture the dynamics of pig trade and should be used to inform the design of riskbased disease surveillance.

Use of Network Analysis and Spread Models to Target Control Actions for Bovine Tuberculosis in a State from Brazil.

Livestock movements create complex dynamic interactions among premises that can be represented, interpreted, and used for epidemiological purposes. These movements are a very important part of the production chain but may also contribute to the spread of infectious diseases through the transfer of infected animals over large distances. Social network analysis (SNA) can be used to characterize cattle trade patterns and to identify highly connected premises that may act as hubs in the movement network, which could be subjected to targeted control measures in order to reduce the transmission of communicable diseases such as bovine tuberculosis (TB). Here, we analyzed data on cattle movement and slaughterhouse surveillance for detection of TB-like lesions (TLL) over the 2016-2018 period in the state of Rio Grande do Sul (RS) in Brazil with the following aims: (i) to characterize cattle trade describing the static full, yearly, and monthly snapshots of the network contact trade, (ii) to identify clusters in the space and contact networks of premises from which animals with TLL originated, and (iii) to evaluate the potential of targeted control actions to decrease TB spread in the cattle population of RS using a stochastic metapopulation disease transmission model that simulated within-farm and between-farm disease spread. We found heterogeneous densities of premises and animals in the study area. The analysis of the contact network revealed a highly connected (~94%) trade network, with strong temporal trends, especially for May and November. The TLL cases were significantly clustered in space and in the contact network, suggesting the potential for both local (e.g., fence-to-fence) and movement-mediated TB transmission. According to the disease spread model, removing the top 7% connected farms based on degree and betweenness could reduce the total number of infected farms over three years by >50%. In conclusion, the characterization of the cattle network suggests that highly connected farms may play a role in TB dissemination, although being close to infected farms was also identified as a risk factor for having animals with TLL. Surveillance and control actions based on degree and betweenness could be useful to break the transmission cycle between premises in RS.

Burkholderia mallei: The dynamics of networks and disease transmission.

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.

Cattle trade between and within biomes in the state of Mato Grosso, Brazil / Trânsito de bovinos entre e dentro dos biomas no estado de Mato Grosso, Brasil

The analysis of animal movement patterns may help identify farm premises with a potentially high risk of infectious disease introduction. Farm herd sizes and bovine movement data from 2007 in the state of Mato Grosso, Brazil, were analyzed. There are three different biomes in Mato Grosso: the Amazon, Cerrado, and Pantanal. The analysis of the animal trade between and within biomes would enable characterization of the connections between the biomes and the intensity of the internal trade within each biome. We conducted the following analyses: 1) the concentration of cattle on farm premises in the state and in each biome, 2) the number and relative frequency of cattle moved between biomes, and 3) the most frequent purposes for cattle movements. Twenty percent (20%) of the farm premises had 81.15% of the herd population. Those premises may be important not only for the spread of infectious diseases, but also for the implementation of surveillance and control strategies. Most of the cattle movement was intrastate (97.1%), and internal movements within each biome were predominant (88.6%). A high percentage of movement from the Pantanal was to the Cerrado (48.6%), the biome that received the most cattle for slaughter, fattening and reproduction (62.4%, 56.8%, and 49.1% of all movements for slaughter, fattening, and reproduction, respectively). The primary purposes for cattle trade were fattening (43.5%), slaughter (31.5%), and reproduction (22.7%). Presumably, movements for slaughter has a low risk of disease spread. In contrast, movements for fattening and reproduction purposes (66.2% of all movements) may contribute to an increased risk of the spread of infectious diseases.(AU)

A análise dos padrões de trânsito animal pode ajudar a identificar estabelecimentos sob um risco potencialmente maior de introdução de doença infecciosa. Foram analisadas a rede de trânsito de bovinos no estado do Mato Grosso, Brasil, e uma base de dados com tamanho de rebanho, ambas de 2007. Há três biomas diferentes em Mato Grosso: Amazônia, Cerrado e Pantanal. A análise do trânsito animal entre e dentro dos biomas nos permitiu caracterizar quão conectados são os biomas e quão intenso é o trânsito interno dentro de cada bioma. Conduzimos as seguintes análises: 1) se o rebanho bovino está concentrado em alguns estabelecimentos no estado todo e em cada bioma; 2) sobre o número absoluto e a frequência relativa de bovinos movimentados entre os biomas; e 3) quais são os propósitos mais frequentes para o trânsito animal. Encontramos que 20% dos estabelecimentos possuíam 81,15% do rebanho total do estado. Estes estabelecimentos podem ser importantes para o espalhamento de doenças infecciosas, mas também para a implementação de estratégias de vigilância e controle. A maior parte do trânsito foi dentro do estado (97,1%), e o trânsito interno dentro de cada bioma foi predominante (88,6%). Um percentual alto de movimentos do Pantanal (48,6%) foi para o Cerrado, o bioma que recebeu mais bovinos para abate, engorda e reprodução (62,4%, 56,8% e 49,1% de todos os movimentos para abate, engorda e reprodução, respectivemente). Os principais propósitos para o comércio de bovinos foram engorda (43,5%), abate (31,5%) e reprodução (22,7%). Movimentos para abate presumivelmente oferecem um baixo risco para espalhamento de doença. Em contraste, movimentos para engorda e reprodução (66,2% de todos os movimentos) podem contribuir para o aumento do risco de espalhamento de doenças infecciosas.(AU)

Animal movement network analysis as a tool to map farms serving as contamination source in cattle cysticercosis / Rede de movimentação animal como ferramenta para mapear fazendas fontes de contaminação para a cisticercose em gado

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.(AU)

A cisticercose bovina é um problema distribuído mundialmente e que resulta em perdas econômicas, principalmente devido à condenação de carcaças infectadas. Uma das dificuldades em se controlar esta zoonose no Brasil é a prática de aquisição de bovinos de múltiplas fazendas, tornando quase impossível a identificação da fazenda de origem do gado infectado, onde as medidas de controle devem ser aplicadas. Objetivou-se avaliar uma rede de movimentação animal construída com dados de uma fazenda de gado de corte que adquire animais de diferentes locais, com o objetivo de mapear as fazendas que mais contribuíam para a propagação da cisticercose. Adicionalmente, com base na análise da rede de movimentação, manejo sanitário e protocolo de tratamento adequados foram aplicados para diminuir a ocorrência de cisticercose na fazenda em estudo. Seis propriedades que tinham trocas comerciais foram identificadas pela rede de movimentação de bovinos e caracterizadas como as principais contribuintes para a ocorrência da cisticercose na fazenda em estudo. A identificação de fazendas com risco de infecção por Taenia saginata por meio da rede de movimentação animal juntamente com o manejo sanitário e protocolo de tratamento adequados resultaram em diminuição gradual da prevalência da cisticercose de 25%, em 2010, para 3,7% em 2011 e 1,8% em 2012. Estes resultados sugerem que a estratégia de análise da rede de movimentação do gado, associadas ao manejo sanitário e tratamento adequados podem contribuir para o controle da cisticercose bovina, minimizando assim as perdas econômicas e prevenindo a teníase humana.(AU)

The normal electrocardiogram in the clinically healthy Saanen goats / Eletrocardiograma normal de cabras Saanen clinicamente sadias

The purpose of this study was to establish normal reference electrocardiographic (ECG) values for standard limb lead II in Saanen goats. For this, were used 19 healthy adult female Saanen goats. And for reference values for the ECG parameters, were used 95% confidence level. The overall P, Q, R, S and T durations (seconds) were 0.03±0.01, 0.02±0.005, 0.03±0.014, 0.03±0.011, 0.06±0.014 respectively, and the reference values were 0.01-0.04, 0.01-0.02, 0.01-0.06, 0.02-0.04 and 0.04-0.08 respectively. The amplitudes (milivolts) of these waveforms were 0.1±0.031, 0.06±0.023, 0.44±0.312, 0.39±0.434, 0.26±0.164 (T negative) and 0.15±0.071 (T positive), respectively. The reference values were 0.05-0.15, 0.05-0.1, 0.05-1.2, 0.05-1.1 and -0.2-0.7 respectively. The PR and QT interval, the QRS complex and the ST segment durations (seconds) were 0.08±0.018, 0.26±0.03, 0.05±0.008, 0.15±0.041 respectively. The reference values were 0.06-0.12, 0.2-0.32, 0.04-0.07 and 0.11-0.26, respectively. It was possible to observe differences in ECG of Saanen goats regarding the amplitude and duration of the constituents when compared to the results of other breeds. Therefore it is necessary to conduct further studies to allow comparisons, detect and diagnose cardiac arrhythmias and help the development of therapies.

O objetivo deste estudo foi de estabelecer os valores de referência para o eletrocardiograma normal de derivação II de cabras Saanen sadias. As durações totais (segundos) das amplitudes de P, Q, R, S e T foram 0.03±0.01, 0.02±0.005, 0.03±0.014, 0.03±0.011, 0.06±0.014, respectivamente, e os valores de referência foram 0.01-0.04, 0.01-0.02, 0.01-0.06, 0.02-0.04 e 0.04-0.08, respectivamente. As amplitudes (milivolts) dessas formas de onda foram 0.1±0.031, 0.06±0.023, 0.44±0.312, 0.39±0.434, 0.26±0.164 (T negativo) e 0.15±0.071 (T positivo), respectivamente. Os valores de referência foram 0.05-0.15, 0.05-0.1, 0.05-1.2, 0.05-1.1 e -0.2-0.7, respectivamente. As durações (segundos) dos intervalos PR e QT, do complexo QRS e do segmento ST foram 0.08±0.018, 0.26±0.03, 0.05±0.008, 0.15±0.041, respectivamente. Os valores de referência foram 0.06-0.12, 0.2-0.32, 0.04-0.07, e 0.11-0.26, respectivamente. Foi possível observar diferenças em relação à duração e amplitude dos constituintes do ECG quando comparados com os resultados de outras raças. Portanto, torna-se necessário a realização de mais estudos para se permitir comparações, detectar e diagnosticar arritmias cardíacas bem como auxiliar no desenvolvimento de terapias.