ArticleBMC veterinary research2019
Network analysis of dairy cattle movement and associations with bovine tuberculosis spread and control in emerging dairy belts of Ethiopia.
Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 34 citations in OpenAlex.
- Assessment of Cattle Owners' Knowledge, Attitudes and Practices Regarding Bovine Tuberculosis in the Eastern Cape Province, South Africa.Public health challenges · 2026Article
- Mapping Small Ruminant Trade Networks in Ethiopia's Somali Region and Borena Zone: Implications for the Spread of Peste des Petits Ruminants Virus.Transboundary and emerging diseases · 2025Article
- Mapping Bovine Tuberculosis in Colombia, 2001-2019.Veterinary sciences · 2024Article
- The role of syndromic knowledge in Ethiopian veterinarians' treatment of cattle.Frontiers in veterinary science · 2024Article
- Network analysis of pig movement data as an epidemiological tool: an Austrian case study.Scientific reports · 2023Article
- Training needs assessment of veterinary practitioners in Ethiopia.Tropical animal health and production · 2022Article
- Inferring Mycobacterium bovis transmission between cattle and badgers using isolates from the Randomised Badger Culling Trial.PLoS pathogens · 2021Article
- Population structure and transmission ofMicrobial genomics · 2021Article
- Dynamics and risk of transmission of bovine tuberculosis in the emerging dairy regions of Ethiopia.Epidemiology and infection · 2021Article
- Use of Network Analysis and Spread Models to Target Control Actions for Bovine Tuberculosis in a State from Brazil.Microorganisms · 2021Article
- A Longitudinal Study of Cattle Productivity in Intensive Dairy Farms in Central Ethiopia.Frontiers in veterinary science · 2021Article
- Article
- Effects of trading networks on the risk of bovine tuberculosis incidents on cattle farms in Great Britain.Royal Society open science · 2020Article
- Genotype Diversity ofFrontiers in veterinary science · 2020Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundDairy cattle movement could be a major risk factor for the spread of bovine tuberculosis (BTB) in emerging dairy belts of Ethiopia. Dairy cattle may be moved between farms over long distances, and hence understanding the route and frequency of the movements is essential to establish the pattern of spread of BTB between farms, which could ultimately help to inform policy makers to design cost effective control strategies. The objective of this study was, therefore, to investigate the network structure of dairy cattle movement and its influence on the transmission and prevalence of BTB in three emerging areas among the Ethiopian dairy belts, namely the cities of Hawassa, Gondar and Mekelle.
methodsA questionnaire survey was conducted in 278 farms to collect data on the pattern of dairy cattle movement for the last 5 years (September 2013 to August 2018). Visualization of the network structure and analysis of the relationship between the network patterns and the prevalence of BTB in these regions were made using social network analysis.
resultsThe cattle movement network structure display both scale free and small world properties implying local clustering with fewer farms being highly connected, at higher risk of infection, with the potential to act as super spreaders of BTB if infected. Farms having a history of cattle movements onto the herds were more likely to be affected by BTB (OR: 2.2) compared to farms not having a link history. Euclidean distance between farms and the batch size of animals moved on were positively correlated with prevalence of BTB. On the other hand, farms having one or more outgoing cattle showed a decrease on the likelihood of BTB infection (OR = 0.57) compared to farms which maintained their cattle.
conclusionThis study showed that the patterns of cattle movement and size of animal moved between farms contributed to the potential for BTB transmission. The few farms with the bulk of transmission potential could be efficiently targeted by control measures aimed at reducing the spread of BTB. The network structure described can also provide the starting point to build and estimate dynamic transmission models for BTB, and other infectious diseases.
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