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Record W4411378562 · doi:10.2903/fr.efsa.2025.fr-0062

Opinion and report of the French Agency for Food, Environmental and Occupational Health & Safety (ANSES) on the assessment of the impact of fox population dynamics on public health

2025· article· en· W4411378562 on OpenAlexaff
Emmanuelle Gilot‐Fromont, Isabelle Villena, Elsa Bonnaud, Claude Fischer, Étienne Giraud, Annick Linden, François Meurens, Carine Paraud, Francis Raoul, Céline Richomme, Sandrine Ruette, Michel Trommetter, Isabelle Vallée, Gilles Meyer, Xavier Bailly, Catherine Belloc, Stéphane Bertagnoli, Alain Boissy, Séverine Boullier, Henri‐Jean Boulouis, Éric Cardinale, Aurélie Courcoul, Alice de Boyer Des Roches, Barbara Dufour, Veasna Duong, Lionel Grisot, Claire Guinat, Nadia Haddad, Elsa Jourdain, Hervé Juin, S. Neveu, Caroline Le Maréchal, Sophie Le Poder, Yves Millemann, Pierre Mormède, Carole Peroz, Claire Ponsart, Claude Saegerman, Jean‐François Valarcher, Agnès Waret‐Szkuta, Natacha Woronoff‐Rehn, Laura Maxim, Louis‐Georges Soler, Bénédicte Apouey, Luc Baumstark, Céline Bonnet, Thierry Brunelle, France Caillavet, Alain Carpentier, Thomas Coutrot, Cécile Detang‐Dessendre, Serge Garcia, Julien Gauthey, Emmanuelle Lavaine, Christine Le Clainche, Marc Leandri, Youenn Lohéac, Sélim Louafi, Eric Plottu, Elodie Rouvière, Denis Salles, Léa Tardieu, Jean‐Christophe Vergnaud, Philippe Fravalo, Frédéric Auvray, Mickaël Boni, Frédéric Borges, Gilles Bornert, Frédéric Carlin, Catherine Chubilleau, Monika Coton, Georges Daube, Noémie Desriac, Florence Dubois‐Brissonnet, Michel Fédérighi, Michel Gautier, Michèle Gourmelon, Sandrine Guillou, Stéphane Guyot, Didier Hilaire, Nathalie Jourdan‐Da Silva, Claire Le Marrec, Sandra Martin‐Latil, Jeanne‐Marie Membré, Eric Oswald, Nadia Oulahal, Pascal Piveteau, Sabine Schorr‐Galindo, Régine Talòn, Emmanuelle Robardet, Nathalie Arnich, Karine Fiore, Florence Étoré, Véronique Raimond, Catherine Collignon

Bibliographic record

VenueFood Risk Assess Europe · 2025
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsUniversity of Saskatchewan
FundersAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail
KeywordsAgency (philosophy)Public healthEnvironmental healthFood safetyOccupational safety and healthPopulationBusinessPolitical scienceMedicineSociologyNursingLaw

Abstract

fetched live from OpenAlex

ABSTRACT The Red Fox (Vulpes vulpes) can be hunted as a game species. It may also be listed as a “species likely to cause damage” (ESOD – the acronym in French), for public health reasons among others. Conversely, benefits linked to the presence of foxes are also put forward, such as the predation of rodents carrying zoonotic agents. In this context, ANSES was asked to: (1) list the zoonoses present in France for which foxes play an epidemiological role, (2) identify other public health impacts associated with changes in fox populations, (3) explain the relative importance of the effects of changes in fox populations for humans and/or the environment, (4) analyse the feasibility of a cost‐benefit analysis (CBA) of the prevention and impacts associated with these zoonoses. In France, the fox is a source of zoonotic pathogens, with a major role for Echinococcus multilocularis, a parasite for which the fox is the main source of environmental contamination. However, reducing fox populations does not reduce the risk of transmission of E. multilocularis to humans or domestic animals, and may even have the opposite effect to the one intended. The main levers for action are those relating to exposure to environmental contamination. The fox is part of complex trophic networks, in which its specific role in regulating prey populations is impossible to determine because (i) several predators share the same prey, with a variable role for the fox among the predators, (ii) the dynamics of prey populations is also conditioned by factors other than predation. The relationship between the abundance of rodents and the risk of disease for humans has not been demonstrated either, due to the complexity of the trophic and epidemiological networks, their highly probable variability from one ecosystem to another, and the multiplicity of hosts. As a result, the data currently available does not allow any conclusions to be drawn about the epidemiological role of the fox as a predator of rodents hosting zoonotic agents. Finally, there is no public health justification for culling foxes, particularly for ESOD classification, except in the very specific and localised context of the fight against bovine tuberculosis, for which the selective culling of foxes in and around the livestock buildings of a domestic outbreak has been proposed. In addition, the expertise concluded to the feasibility of a CBA targeted at assessing the burden of alveolar echinococcosis and measures to prevent its transmission. The feasibility study shows the partial nature of a CBA targeting zoonoses, without taking into account other roles played by the fox in the ecosystem.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.167
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0180.007
Insufficient payload (model declined to judge)0.0080.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.380
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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