Evidence map›Paper›PMID 41830398›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Risk Assessment and Management of Brucella canis Introduction via Commercial Dog Imports Into France.

Patrick Mvumbi, Gina Zanella, Guillaume Crozet

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Patrick MvumbiAnses, École nationale vétérinaire d'Alfort, Laboratoire de Santé Animale, EPIMIM, Maisons-Alfort, France.ORCID 0000-0001-5077-3501
Gina ZanellaAnses, École nationale vétérinaire d'Alfort, Laboratoire de Santé Animale, EPIMIM, Maisons-Alfort, France.ORCID 0000-0002-5948-4914
Guillaume CrozetAnses, École nationale vétérinaire d'Alfort, Laboratoire de Santé Animale, EPIMIM, Maisons-Alfort, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine brucellosis, caused by Brucella canis, is a likely underdiagnosed zoonotic disease that leads to reproductive failure in dogs and economic losses for kennels. Since 2020, cases in mainland France have been on the rise, with most attributed to the importation of dogs from Eastern Europe. However, the risk of introducing B. canis into mainland France through commercial dog imports from worldwide sources remains poorly characterized. To address this gap, a quantitative risk assessment was conducted using a stochastic scenario tree model incorporating the region of origin of the imported dogs. In addition, impact of management measures on the annual number of B. canis-infected dogs imported into France was evaluated. The results showed that the commercial dog imports represent a substantial risk for introducing B. canis into mainland France, with a median annual number of infected dogs imported estimated at 41.60 (95% PI: 5.12-8784.00). This risk was particularly high for imports originating from the USA, Eastern Europe, North Africa, and Latin America. The evaluation of management measures through simulations showed that the introduction of mandatory pre-import testing for B. canis, with 80% compliance or full enforcement-could significantly reduce the associated risk. These measures led to a reduction in the annual number of infected dogs imported into mainland France by a factor of 4 to 1000 compared to the baseline model. These findings highlight the need for implementing targeted management measures to prevent the introduction of B. canis into France.

Indexed as

Brucella canisBrucellosisDog DiseasesAnimalsCommerceDogsFranceRisk AssessmentZoonosesBrucella canisdisease introductiondogsmanagement measuresquantitative risk assessment

Identifiers

PMID41830398
PMCPMC12988457

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.