Abstract
We propose a stochastic epidemic model to describe the spread of avian influenza in a network of poultry farms. We consider three main paths of infection transmission between poultry farms: from nearby farms, mainly through airborne diffusion; from farms belonging to the same company, through shared veterinarians, forage providers and similar; from undetected small farms or wildlife. From the parameter estimation, based on a modified Expectation-Maximization algorithm, we infer that approximately 63% of the farms were infected from nearby ones, with an infection force declining with distance; of these, more than one third belonged to the same company of the estimated infector. About 20% were infected from premises belonging to the same company but farther away than the distance threshold of 2 km; the remaining ones from wildlife or unidentified sources. These estimates have been validated by a comparison with genetic data, available for a subset of the farms: the genetic distance between two farms identified, with high probability, as an infector-infectee pair is much lower than between random pairs. These results may help in the implementation of tailored prevention and control measures for future outbreaks.
Competing Interest Statement
The authors have declared no competing interest.
Funder Information Declared
Fondazione Caritro (Cassa di Risparmio di Trento e Rovereto), Post-Doc 2024 project ``Modelli matematici di malattie infettive piu` ospiti e popolazioni eterogenee: applicazioni all'influenza aviaria''
Source:
Link: https://doi.org/10.64898/2026.09.19.752832
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