Ebola in DR Congo 2018-2020

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
R. Seck, D. Ngom, B. Ivorra, A. M. Ramos. An optimal control model to design strategies for reducing the spread of the Ebola Virus Disease. Mathematical Biosciences and Engineering. 2022, 19(2), 1746 - 1774. DOI link: https://doi.org/10.3934/mbe.2022082
M. R. Ferrández, B. Ivorra, A. M. Ramos. Final validation of the forecast for the spread of the Ebola virus disease 2018-20 (EVD 2018-20) done with the Be-CoDiS mathematical model. Technical Report. Research Gate, (17 July 2020); https://doi.org/10.13140/RG.2.2.28275.14881

M. R. Ferrández, B. Ivorra, A. M. Ramos. Validation of the forecasts for the spread of the Ebola virus disease 2018-20 (EVD 2018-20) done with the Be-CoDiS mathematical model. Technical Report. Research Gate, (23 February 2020); https://doi.org/10.13140/RG.2.2.34877.00485

M. R. Ferrández, B. Ivorra, P. M. Ortigosa, A. M. Ramos, J. L. Redondo. Application of the Be-CoDiS model to the 2018-19 Ebola Virus Disease outbreak in the Democratic Republic of Congo. Technical Report. Research Gate, (23 july 2019); https://doi.org/10.13140/RG.2.2.13267.63521/2

27 de febrero de 2020. Nova Ciencia. Corona virus: cómo se sigue una epidemia.

Febrero de 2020. Nova Ciencia. Superordenadores tras el rastro del ébola (ver págs. 20-21). Artículo sobre los trabajos del Grupo MOMAT del IMI, en colaboración con la Universidad de Almería, en relación con la modelización de las epidemias de ébola.