Evidence map›Paper›PMID 30005698›Full record

ArticleVeterinary research2018

Control measures to prevent the increase of paratuberculosis prevalence in dairy cattle herds: an individual-based modelling approach.

Guillaume Camanes, Alain Joly, Christine Fourichon, Racem Ben Romdhane, Pauline Ezanno

Open access · goldAbstract read
In one paragraph

Article in Veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  11. Successful Control ofAnimals : an open access journal from MDPI · 2024
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  15. The Occurrence ofAnimals : an open access journal from MDPI · 2021
    Article
  16. Article
  17. Review
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

5 authors at 2 institutions in 1 country.

Guillaume CamanesGroupement de Défense Sanitaire de Bretagne, 56019, Vannes, France.ORCID 0000-0003-4848-4676
Alain JolyGroupement de Défense Sanitaire de Bretagne, 56019, Vannes, France.
Christine FourichonBIOEPAR, INRA, Oniris, Université Bretagne Loire, 44307, Nantes, France.
Racem Ben RomdhaneBIOEPAR, INRA, Oniris, Université Bretagne Loire, 44307, Nantes, France.
Pauline EzannoBIOEPAR, INRA, Oniris, Université Bretagne Loire, 44307, Nantes, France. pauline.ezanno@oniris-nantes.fr.
Laboratoire de Génie des Procédés – Environnement – Agro-alimentaire · FRÉcole Spéciale Militaire de Saint-Cyr · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paratuberculosis, a gastrointestinal disease caused by Mycobacterium avium subsp. paratuberculosis (Map), can lead to severe economic losses in dairy cattle farms. Current measures are aimed at controlling prevalence in infected herds, but are not fully effective. Our objective was to determine the most effective control measures to prevent an increase in adult prevalence in infected herds. We developed a new individual-based model coupling population and infection dynamics. Animals are characterized by their age (6 groups) and health state (6 states). The model accounted for all transmission routes and two control measures used in the field, namely reduced calf exposure to adult faeces and test-and-cull. We defined three herd statuses (low, moderate, and high) based on realistic prevalence ranges observed in French dairy cattle herds. We showed that the most relevant control measures depend on prevalence. Calf management and test-and-cull both were required to maximize the probability of stabilizing herd status. A reduced calf exposure was confirmed to be the most influential measure, followed by test frequency and the proportion of infected animals that were detected and culled. Culling of detected high shedders could be delayed for up to 3 months without impacting prevalence. Management of low prevalence herds is a priority since the probability of status stabilization is high after implementing prioritized measures. On the contrary, an increase in prevalence was particularly difficult to prevent in moderate prevalence herds, and was only feasible in high prevalence herds if the level of control was high.

Indexed as

DairyingAnimalsCattleCattle DiseasesCommunicable Disease ControlFemaleFranceModels, BiologicalMycobacterium avium subsp. paratuberculosisParatuberculosisPrevalence

Identifiers

PMID30005698
PMCPMC6044053
OpenAlexW2884243088

What OpenQuestion 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 OpenQuestion graph.