Ivorra, BenjaminRamos del Olmo, Ángel ManuelFernández Carrión, EduardoMartínez López, BeatrizNgom, DiéneSánchez-Vizcaíno Rodríguez, José Manuel2023-06-192023-06-192014-11-051. A novel spatial and stochastic model to evaluate the within and between farm transmission of classical swine fever virus: I. General concepts and description of the model. Veterinary Microbiology. 147: 300-309. Elsevier. 2011. 2. A novel spatial and stochastic model to evaluate the within and between farm transmission of classical swine fever virus: II Validation of the model. Veterinary Microbiology. 155: 21-32. Elsevier. 2012. 3. Evaluation of the risk of classical swine fever (CSF) spreadfrom backyard pigs to other domestic pigs by using the spatial stochastic disease spread model Be-FAST: The example of Bulgaria. Veterinary Microbiology. 165: 79-85. Elsevier. 2013. 4. Mathematical formulation and validation of the Be-FAST model for CSF Virus spread between and within farms. Annals of Operations Research. 219: 25-47. 2014 5. A multi-analysis approach for space-time and economic evaluation of risks related with livestock diseases: The example of FMD in Peru. Preventive Veterinary Medicine. 114: 47-63. 2014 6. Be-CoDiS: An epidemiological model to predict the risk of human diseases spread worldwide. Application to the 2014 Ebola Virus Disease epidemic. Preprint arXiv: http://arxiv.org/abs/1410.6153https://hdl.handle.net/20.500.14352/36120During this presentation, we introduce the mathematical formulation of a new spatial-temporal epidemiological model, called Be-CoDiS (Between-COuntries Disease Spread). Be-CoDiS is based on the combination of an Individual-Based model (modelling the interaction between countries, considered as individuals) for the between-countries spread with a compartmental model, based on ordinary differential equations, for the within-country spread. The goal is to simulate the spread of a particular disease and identify the risk zones worldwide. This model is a particular adaptation of a previous epidemiological software, called Be-FAST, used to predict the spatial spread of livestock diseases. Both Be-FAST and Be-CoDiS models are detailed and some real applications, such as the study of the 2014 Ebola Virus Disease epidemic or the Classical Swine Fever in Spain, are shown.engconference outputhttp://www.researchgate.net/publication/267750140_Be-FAST_and_Be-CoDiS_mathematical_models_to_predict_the_spread_of_human_and_livestocks_diseases_with_real_data._Application_to_the_2014_Ebola_Virus_Disease_epidemic_and_livestock_diseasesopen access519.8:616-036.2251:57Investigación operativa (Matemáticas)Enfermedades infecciosasBiomatemáticas1207 Investigación Operativa3205.05 Enfermedades Infecciosas2404 Biomatemáticas