Ivorra, Benjamín Pierre PaulMartínez López, BeatrizRamos Del Olmo, Ángel ManuelSánchez-Vizcaíno Rodríguez, José Manuel2023-06-202023-06-202009978-84-692-6473-7https://hdl.handle.net/20.500.14352/53415XI Congreso de Matemática AplicadaClassical swine fever (CSF) is a highly contagious viral disease of pigs and wild boars that causes severe commercial restrictions to the affected countries. The knowledge of spread patterns and risk factors that are involved in the transmission of CSF would help to implement specific measures and to reduce the disease spread in future outbreaks. In this article, we introduce a new spatial hybrid model developed for the spread of CSF. It is based on the combination of a stochastic individual Based model with a Susceptible-Infected model. The coefficients and parameters of the models are estimated using real data.engbook parthttp://matematicas.uclm.es/cedya09/archive/textos/55_Ivorra-B.pdfhttp://matematicas.uclm.es/cedya09/open access519.87:636.4ModelingEpidemiologyStochastic modelRisk managementInvestigación operativa (Matemáticas)Ganado porcino1207 Investigación Operativa3104.08 Porcinos