Fernández, M. R.Ivorra, Benjamín Pierre PaulRedondo, J. L.Ramos, A. M.Ortigosa, P. M.2023-06-172023-06-172019-02-120094-243X10.1063/1.5089983https://hdl.handle.net/20.500.14352/13159The epidemiological models are able to predict the spread of diseases, but a previous work on calibrating some involved parameters must be done. In this work, we propose a methodology to adjust those parameters based on solving a multi-objective optimization problem whose objective functions measure the accuracy of the model. More precisely, we have considered the Between-Countries Disease Spread model because it involves a set of countries taking into account the migratory movements among them. As a result, using some real data about the number of detected cases and the number of deaths for the Ebola virus disease, we have shown that the methodology is able to find a set of values for the parameters so that the model fits the outbreak spread for a set of countries.engjournal articlehttps://doi.org/10.1063/1.5089983https://publishing.aip.org/https://aip.scitation.org/doi/abs/10.1063/1.5089983open access519.87: 616-036.2251Modelos matemáticosEpidemiologíaOptimization problemsMathematical modelsEpidemiologyMatemáticas (Matemáticas)12 Matemáticas