RT Journal Article
T1 Predicting the spread of epidemiological diseases by using a multi-objective algorithm
A1 Fernández, M. R.
A1 Ivorra, Benjamín
A1 Redondo, J. L.
A1 Ramos, A. M.
A1 Ortigosa, P. M.
AB The 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 virusdisease, 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.
SN 0094-243X
YR 2019
FD 2019-02-12
LK https://hdl.handle.net/20.500.14352/13159
UL https://hdl.handle.net/20.500.14352/13159
LA eng
NO [1] B. Ivorra, D. Ngom, and A. M. Ramos, Bulletin of Mathematical Biology 77, 1668–1704Sep (2015).[2] B. Ivorra, D. Ngom, and A. M. Ramos, Biomath Communications Supplement 4 (2017).[3] M. R. Ferr´andez, S. Puertas-Mart´ın, J. L. Redondo, B. Ivorra, A. M. Ramos, and P. M. Ortigosa, The Journalof Supercomputing 1–16 (2018).[4] A. B. Ruiz, R. Saborido, and M. Luque, Journal of Global Optimization 62, 101–129 (2015).
NO Unión Europea. H2020
NO Ministerio de Economía y Competitividad (MINECO)
NO Junta de Andalucía
DS Docta Complutense
RD 28 abr 2024