Publications

• M. R. Ferrández, B. Ivorra, J. L. Redondo, Á. M. Ramos & P. M. Ortigosa: Predicting The Spread Of Epidemiological Diseases By Using A Multi-Objective Algorithm. AIP Conference Proceedings 2070, 020016 (2019). DOI link: https://doi.org/10.1063/1.5089983
• E. Fernández-Carrión, B. Martínez-López, B. Ivorra, Á. M. Ramos & J. M. Sánchez-Vizcaíno: Evaluación del riesgo de propagación de epidemias ganaderas mediante simulación matemática. Pensamiento Matemático, ISSN-e 2174-0410, 2018, Vol VIII, N. 2. pp. 43-54. http://www2.caminos.upm.es/Departamentos/matematicas/revistapm/revista_impresa/vol_VIII_num_2/inv_eval_rie_epi.pdf
• E. Fernández-Carrión, B. Ivorra, B. Martínez-López, Á. M. Ramos & J. M. Sánchez-Vizcaíno: Implementation and validation of an economic module in the Be-FAST model to predict costs generated by livestock disease epidemics: Application to classical swine fever epidemics in Spain. Preventive Veterinary Medicine. Vol. 126 (2016), 66-73, DOI link: http://dx.doi.org/doi:10.1016/j.prevetmed.2016.01.015
• Á. M. Ramos, B. Ivorra, E. Fernández-Carrión, B. Martínez-López,  D. Ngom & J. M. Sánchez-Vizcaíno: Be-CoDiS and Be-FAST: Mathematical models to predict the spread of human and livestock diseases with real data. Application to the 2014-15 Ebola Virus Disease epidemic and livestock diseases. Microbes in the spotlight: recent progress in the understanding of beneficial and harmful microorganisms. BrownWalker Press. Editor: A. Méndez-Vilas, 2016, ISBN-10: 1-62734-612-0, ISBN-13: 978-1-62734-612-2, pages 422-426, BrownWalker Press.
• B. Ivorra, B. Martínez-López, J. M. Sánchez-Vizcaíno & Á. M. Ramos: Mathematical formulation and validation of the Be-FAST model for Classical Swine Fever Virus spread between and within farms. Annals of Operations Research, Volume 219, Issue 1 (2014), 25-47. DOI link: http://dx.doi.org/10.1007/s10479-012-1257-4
• B. Martínez-López, B. Ivorra, Á. M. Ramos, E. Fernández, T. Alexandrov & J. M. Sánchez-Vizcaíno: Evaluation of the risk of Classical Swine Fever (CSF) spread from backyard pigs to other domestic pigs by using the spatial stochastic disease spread model Be-FAST: the example of Bulgaria. Veterinary Microbiology, Vol. 165 (2013), 79-85, DOI link: http://dx.doi.org/10.1016/j.vetmic.2013.01.045
• B. Martínez-López, B. Ivorra, D. Ngom, Á. M. Ramos & J. M. Sánchez-Vizcaíno: 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. Vol. 155 (1), 2012, 21-32. DOI link: http://dx.doi.org/10.1016/j.vetmic.2011.08.008
• B. Martínez-López, B. Ivorra, A. M. Ramos & J. M. Sánchez-Vizcaíno: 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, Vol. 147, Issues 3-4 (2011) 300-309. DOI link: http://dx.doi.org/10.1016/j.vetmic.2010.07.009
• Á. M. Ramos, B. Ivorra, B. Martínez-López & J. M. Sánchez-Vizcaíno: Mathematical modeling for real epidemics situations. The case of classical swine fever virus. En Actas del XXII CEDYA / XII Congreso de Matemática Aplicada. Universidad de Les Illes Balears, Palma de Mallorca. ISBN13: 978-84-694-4935-6, 2011.
• B. Ivorra, B. Martínez-López, Á. M. Ramos & J. M. Sánchez-Vizcaíno: Modelling classical swine fever spread using a spatial hybrid model. Actas de XXI CEDYA (XI Congreso de Matemática Aplicada). Ciudad Real, 21-25 Septiembre 2009. ISBN 978-84-692-6473-7
• B. Martínez-López, B. Ivorra, Á. M. Ramos & J. M. Sánchez-Vizcaíno: Modelling the spread of classical swine fever into Spain using a spatial and stochastic model. En Proceedings of the 20th International Pig Veterinary Society Congress, pág. 87. Durban, (South Africa), 22-26 de junio de 2008.