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Mechanistic epidemiological models, such as those developed in the BIOEPAR Unit, allow for a detailed understanding and prediction of the spread of pathogens, as well as the evaluation and comparison of control scenarios. Making these models usable independently by animal health managers can support public policies or improve collective health management in animal husbandry. This implies transforming them into decision support tools, which usually requires significant ad-hoc software development. The ATOM prematurity project, financed by INRAE's Partnership and Transfer for Innovation Department, consists of developing a software chain that automatically transforms academic epidemiological models into decision-making tools that can be used independently and adapted to specific needs. This innovative initiative, combining artificial intelligence and software engineering methods, aims to facilitate the transfer of results from academic research in animal health to the field. The use of the tools produced will also make it possible to base decision-making on the scale of the farm, the sector or the territory.

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Principle of the ATOM project - Based on the experience gained in the production of ad hoc DMOs from academic models, the ATOM project aims to develop the software chain to automate the transformation of such models into operational DMOs, to be finalised for their professional use.