A multi-objective approach to identify parameters of compartmental epidemiological models—Application to Ebola Virus Disease epidemics-Reference-Cited by-同舟云学术

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A multi-objective approach to identify parameters of compartmental epidemiological models—Application to Ebola Virus Disease epidemics

Published:2023-06 Issue: Volume:120 Page:107165
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Ferrández Miriam R.,Ivorra Benjamin^ORCID,Redondo Juana L.,Ramos Ángel M.,Ortigosa Pilar M.

Funder

Ministerio de Ciencia e Innovación

European Regional Development Fund

Gobierno de España Ministerio de Ciencia e Innovación

Junta de Andalucía

Universidad Complutense de Madrid

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference59 articles.

1. Mathematical understanding of infectious disease dynamics;Ma,2009

2. Mathematical models in population biology and epidemiology, vol. 40;Brauer,2001

3. Discrete epidemic models with arbitrary stage distributions and applications to disease control;Hernández-Cerón;Bull Math Biol,2013

4. A fractional-order model for Ebola virus infection with delayed immune response on heterogeneous complex networks;Latha;J Comput Appl Math,2018

5. A mathematical model for endemic malaria with variable human and mosquito populations;Ngwa;Math Comput Modelling,2000

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