Evidence map›Paper›PMID 37194271›Full record

SynthesisJournal of the Royal Society, Interface2023

Simulating contact networks for livestock disease epidemiology: a systematic review.

William T M Leung, James W Rudge, Guillaume Fournié

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Characterising nosing behaviours in pigs after mixing using social network analysis.Animal : an international journal of animal bioscience · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 3 countries.

William T M LeungCommunicable Diseases Policy Research Group, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.ORCID 0000-0003-1616-175X
James W RudgeCommunicable Diseases Policy Research Group, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.ORCID 0000-0002-3031-3820
Guillaume FourniéVeterinary Epidemiology, Economics and Public Health Group, Pathobiology and Population Sciences Department, Royal Veterinary College, London AL9 7TA, UK.ORCID 0000-0002-6998-1201
University of London · GBUniversité Claude Bernard Lyon 1 · FR

Funding

Biotechnology and Biological Sciences Research Council BB/S011269/1
6 · The paper itself

Abstract

Contact structure among livestock populations influences the transmission of infectious agents among them. Models simulating realistic contact networks therefore have important applications for generating insights relevant to livestock diseases. This systematic review identifies and compares such models, their applications, data sources and how their validity was assessed. From 52 publications, 37 models were identified comprising seven model frameworks. These included mathematical models (

Indexed as

LivestockModels, TheoreticalAnimalsModels, StatisticalMovementepidemiologyinfectious diseaselivestock productionlivestock tradenetwork modelnetwork simulation model

Identifiers

PMID37194271
PMCPMC10189310
OpenAlexW4376871340

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.