ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015
Infectious disease transmission and contact networks in wildlife and livestock.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
133 citing papers in PubMed, 2 syntheses or guidelines pooled it, 360 citations in OpenAlex.
- Simulating contact networks for livestock disease epidemiology: a systematic review.Journal of the Royal Society, Interface · 2023Pooled it
- Infectious disease and group size: more than just a numbers game.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Pooled it
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- The tip of the iceberg: high-risk contacts for hemorrhagic fevers of swine in the Caribbean.Veterinary research · 2026Article
- Impact of African swine fever emergency on the mental health of first responders in the Dominican Republic.PloS one · 2026Article
- Global vaccination coverage and disease incidence in cattle, pigs, and poultry.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Estimating Environmental Transmission Risk From Host Movement Data.Ecology and evolution · 2025Article
- Sociality and kinship constrain the free-mixing of pathogens in a wild mammal host population.Proceedings. Biological sciences · 2025Article
- Article
- SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.Genetics, selection, evolution : GSE · 2025Article
- The effect of temporal resolution and contact duration on Real-Time location system-based contact networks for confined feedlot cattle.Preventive veterinary medicine · 2025Article
- The final frontier: using carcasses for one health surveillance at the ecosystem interface.Frontiers in veterinary science · 2025Article
- The ecology of ageing in wild societies: linking age structure and social behaviour.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- A scoping review on bovine tuberculosis highlights the need for novel data streams and analytical approaches to curb zoonotic diseases.Veterinary research · 2024Article
- Detection of small ruminant Lentivirus proviral DNA in red deer from Poland.BMC veterinary research · 2024Article
- Caterpillar movement mediates spatially local interactions and determines the relationship between population density and contact.Movement ecology · 2024Article
- Hierarchically embedded scales of movement shape the social networks of vampire bats.Proceedings. Biological sciences · 2024Article
- Early detection of bovine respiratory disease in pre-weaned dairy calves using sensor based feeding, movement, and social behavioural data.Scientific reports · 2024Article
- Structural network characteristics affect epidemic severity and prediction in social contact networks.Infectious Disease Modelling · 2024Article
73 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of social and contact networks to answer basic and applied questions about infectious disease transmission in wildlife and livestock is receiving increased attention. Through social network analysis, we understand that wild animal and livestock populations, including farmed fish and poultry, often have a heterogeneous contact structure owing to social structure or trade networks. Network modelling is a flexible tool used to capture the heterogeneous contacts of a population in order to test hypotheses about the mechanisms of disease transmission, simulate and predict disease spread, and test disease control strategies. This review highlights how to use animal contact data, including social networks, for network modelling, and emphasizes that researchers should have a pathogen of interest in mind before collecting or using contact data. This paper describes the rising popularity of network approaches for understanding transmission dynamics in wild animal and livestock populations; discusses the common mismatch between contact networks as measured in animal behaviour and relevant parasites to match those networks; and highlights knowledge gaps in how to collect and analyse contact data. Opportunities for the future include increased attention to experiments, pathogen genetic markers and novel computational tools.
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Registered trials
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.