A new tool to assess the economic impact of q fever on dairy cattle farms

Didier Raboisson (), Guillaume Lhermie and Raphael Guatteo ()
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Didier Raboisson: UMR ASTRE - Animal, Santé, Territoires, Risques et Ecosystèmes - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, UM - Université de Montpellier, ENVT - Ecole Nationale Vétérinaire de Toulouse - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Guillaume Lhermie: UMR ASTRE - Animal, Santé, Territoires, Risques et Ecosystèmes - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, UM - Université de Montpellier, ENVT - Ecole Nationale Vétérinaire de Toulouse - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse, University of Calgary
Raphael Guatteo: BIOEPAR - Biologie, Epidémiologie et analyse de risque en Santé Animale - ONIRIS - École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: To support farmers in their decisions related to Q fever, a dedicated economic assessment tool is developed. The present work describes the calculator, its economic rationale, and the supporting assumptions. The calculator integrates a yearly compartmental model to represent population dynamism and the main interactions between disorders linked to Q fever, especially reproductive disorders (abortion, retained foetal membranes, purulent vaginal discharge and endometritis, extra services, and calving–conception delays). The effects of the nontangible cost of the disease on human health, the welfare of the animals, and the workload of farmers were not integrated into the model. The model shows high-level sensitivity to the prevalence of Q fever in the herd prevaccination and to the costs of abortion and extra days of calving–conception intervals. Breakeven points, i.e., cost values that allow us to achieve positive vaccination benefits, are also reported. For herds with moderate or high prevalence rates of Q fever prevaccination (>30%), a vaccination benefit is observed. The vaccine should be considered a type of insurance in herds with low prevalence rates of Q fever prevaccination (≤20%). The calculator was developed to aid decision-making at the farm level, and no conclusion can be extrapolated as a generic trend based on the present work.

Keywords: Cost; Economics; Vaccine; Benefits; impact économique; France; bovin laitier; ferme laitière; Coxiella burnetii; dynamique des populations; fièvre Q; bien-être social; vaccin; évaluation de l'impact; vaccination; épidémiologie; système d'aide à la décision; endométrite (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-agr and nep-eur
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Published in Animals, 2024, 14 (8), pp.1166. ⟨10.3390/ani14081166⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04546084

DOI: 10.3390/ani14081166

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