Evidence map›Paper›PMID 21624918›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2011

Endemic cattle diseases: comparative epidemiology and governance.

David Carslake, Wyn Grant, Laura E Green, Jonathan Cave, Justin Greaves, Matt Keeling, John McEldowney, Habtu Weldegebriel, Graham F Medley

Open access · greenAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 52 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

David CarslakeSchool of Life Sciences, University of Warwick, Gibbet Hill Campus, Coventry CV4 7AL, UK. david.carslake@bristol.ac.uk
Wyn Grant
Laura E Green
Jonathan Cave
Justin Greaves
Matt Keeling
John McEldowney
Habtu Weldegebriel
Graham F Medley
University of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/B/04854
6 · The paper itself

Abstract

Cattle are infected by a community of endemic pathogens with different epidemiological properties that invoke different managerial and governmental responses. We present characteristics of pathogens that influence their ability to persist in the UK, and describe a qualitative framework of factors that influence the political response to a livestock disease. We develop simple transmission models for three pathogens (bovine viral diarrhoea virus, bovine herpesvirus and Mycobacterium avium spp. paratuberculosis) using observed cattle movements, and compare the outcomes to an extensive dataset. The results demonstrate that the epidemiology of the three pathogens is determined by different aspects of within- and between-farm processes, which has economic, legal and political implications for control. We consider how these pathogens, and Mycobacterium bovis (the agent of bovine tuberculosis), may be classified by the process by which they persist and by their political profile. We further consider the dynamic interaction of these classifications with pathogen prevalence and with the action taken by the government.

Indexed as

AnimalsBovine Virus Diarrhea-Mucosal DiseaseCattleDiarrhea Viruses, Bovine ViralEndemic DiseasesHerpesviridae InfectionsModels, TheoreticalMycobacterium avium subsp. paratuberculosisParatuberculosisPoliticsPublic PolicyUnited Kingdom

Identifiers

PMID21624918
PMCPMC3130389
OpenAlexW2099589946

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.