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Ebola outbreak 2014-2016

Publications

  • R. Ferrández, B. Ivorra, J. L. Redondo, Á. M. Ramos, Pilar M. Ortigosa. A multi-objective approach to identify parameters of compartmental epidemiological models—Application to Ebola Virus Disease epidemics. Communications in Nonlinear Science and Numerical Simulation, 2023, 120. https://doi.org/10.1016/j.cnsns.2023.107165
  • B. Ivorra, D. Ngom, A.M. Ramos. Stability and sensitivity analysis of epidemiological model Be-CoDiS predicting the spread of human diseases between countries. Electronic Journal of Differential Equations. 62,  1--29. ISSN: 1072-6691, 2020. https://ejde.math.txstate.edu/Volumes/2020/62/ivorra.pdf
  • M. R. Ferrández, B. Ivorra, J. L. Redondo, A. M. Ramos and 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.
  • D. Ngom, B. Ivorra, A. M. Ramos. Stability analysis of a compartmental SEIHRD model for the Ebola Virus Disease. In Mathematical Methods and Models in Biosciences, Series: Texts in Biomathematics. ISBN 978-619-7451-00-9 (print), 978-619-7451-01-6 (online), ISSN: 2603-3046, 2018, pp. 44--56. Book DOI link: http://dx.doi.org/10.11145/texts.2018.017, Paper DOI link: http://dx.doi.org/10.11145/texts.2017.12.165.
  • 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. En 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. Link: http://www.universal-publishers.com/book.php?method=ISBN&book=1627346120
  • B. Ivorra, D. Ngom and A. M. Ramos, Be-CoDiS: A deterministic mathematical model to predict the risk of human diseases spread between countries. Application to the 2014-15 Ebola Virus Disease epidemic. In Proceedings of the XXIV Congress on Differential Equations and Applications / XIV Congress on Applied Mathematics – Cádiz, June 8-12, 2015. (Editors: J.M. Díaz Moreno, J.C. Díaz Moreno, C. García Vázquez, J. Medina Moreno, F. Ortegón Gallego, C. Pérez Martínez, M.V. Redondo Neble and J.R. Rodríguez Galván), pp. 114-120, 2015. Available online: http://cedya2015.uca.es/cedya2015proceedings
  • B. Ivorra, D. Ngom and A. M. Ramos, Be-CoDiS: A Mathematical Model to Predict the Risk of Human Diseases Spread Between Countries—Validation and Application to the 2014--2015 Ebola Virus Disease Epidemic. Bulletin of Mathematical Biology. Vol. 77, Issue 9, 1668-1704, 2015. DOI link: http://dx.doi.org/10.1007/s11538-015-0100-x. Preprint.

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