ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Simulating contact networks for livestock disease epidemiology: a systematic review.Journal of the Royal Society, Interface · 2023Pooled it
- Mobility Network Analysis of the Poultry Sector in Morocco: A Tool for the Surveillance and Prevention of Highly Pathogenic Avian Influenza.Veterinary sciences · 2026Article
- Bovine brucellosis seropositivity in Mpumalanga Province, South Africa, 2021-2024: Temporal, and spatial trends.PloS one · 2026Article
- An outbreak of highly pathogenic avian influenza H5N1 could impact the dairy cattle sector and the broader economy in the United States.Communications earth & environment · 2026Article
- Network Analysis of Small Ruminant Movements in Uganda: Implications for Control of Transboundary Animal Diseases.Transboundary and emerging diseases · 2025Article
- A framework for handling uncertainty in a large-scale programme estimating the Global Burden of Animal Diseases.Frontiers in veterinary science · 2025Article
- 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
- Identifying target areas for risk-based surveillance and control of transboundary animal diseases: a seasonal analysis of slaughter and live-trade cattle movements in Uganda.Scientific reports · 2023Article
- Environmental and economic determinants of temporal dynamics of the ruminant movement network of Senegal.Scientific reports · 2023Article
- Local and wide-scale livestock movement networks inform disease control strategies in East Africa.Scientific reports · 2023Article
- Network analysis of pig movement data as an epidemiological tool: an Austrian case study.Scientific reports · 2023Article
- Epidemiological Dynamics of Foot-and-Mouth Disease in the Horn of Africa: The Role of Virus Diversity and Animal Movement.Viruses · 2023Review
- Identifying Potential Super-Spreaders and Disease Transmission Hotspots Using White-Tailed Deer Scraping Networks.Animals : an open access journal from MDPI · 2023Article
- Disentangling transport movement patterns of trucks either transporting pigs or while empty within a swine production system before and during the COVID-19 epidemic.Frontiers in veterinary science · 2023Article
- Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases.Frontiers in veterinary science · 2023Article
- Knowledge, perceptions, and practices around zoonotic diseases among actors in the livestock trade in the Lake Victoria crescent ecosystem in East Africa.Frontiers in public health · 2023Article
- Unraveling the epidemiology ofFrontiers in veterinary science · 2023Article
- Description of the Cattle and Small Ruminants Trade Network in Senegal and Implication for the Surveillance of Animal Diseases.Transboundary and emerging diseases · 2023Article
- Modeling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network information.Frontiers in veterinary science · 2023Article
- An outbreak of Rift Valley fever among peri-urban dairy cattle in northern Tanzania.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2022Article
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Authors and funding
13 authors.
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Abstract
Livestock movements are an important mechanism of infectious disease transmission. Where these are well recorded, network analysis tools have been used to successfully identify system properties, highlight vulnerabilities to transmission, and inform targeted surveillance and control. Here we highlight the main uses of network properties in understanding livestock disease epidemiology and discuss statistical approaches to infer network characteristics from biased or fragmented datasets. We use a 'hurdle model' approach that predicts (i) the probability of movement and (ii) the number of livestock moved to generate synthetic 'complete' networks of movements between administrative wards, exploiting routinely collected government movement permit data from northern Tanzania. We demonstrate that this model captures a significant amount of the observed variation. Combining the cattle movement network with a spatial between-ward contact layer, we create a multiplex, over which we simulated the spread of 'fast' ( R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.