Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa

The Ebola virus is currently one of the most virulent pathogens for humans. The latest major outbreak occurred in Guinea, Sierra Leone, and Liberia in 2014. With the aim of understanding the spread of infection in the affected countries, it is crucial to modelize the virus and simulate it. In this p...

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Main Authors: Amira Rachah, Delfim F. M. Torres
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2015/842792
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spelling doaj-dceabc4d1aba49bcbf670643dbea23772020-11-24T22:55:22ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/842792842792Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West AfricaAmira Rachah0Delfim F. M. Torres1Mathématiques pour l’Industrie et la Physique, Institut de Mathématiques de Toulouse, Université Paul Sabatier, 31062 Toulouse Cedex 9, FranceCenter for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810-193 Aveiro, PortugalThe Ebola virus is currently one of the most virulent pathogens for humans. The latest major outbreak occurred in Guinea, Sierra Leone, and Liberia in 2014. With the aim of understanding the spread of infection in the affected countries, it is crucial to modelize the virus and simulate it. In this paper, we begin by studying a simple mathematical model that describes the 2014 Ebola outbreak in Liberia. Then, we use numerical simulations and available data provided by the World Health Organization to validate the obtained mathematical model. Moreover, we develop a new mathematical model including vaccination of individuals. We discuss different cases of vaccination in order to predict the effect of vaccination on the infected individuals over time. Finally, we apply optimal control to study the impact of vaccination on the spread of the Ebola virus. The optimal control problem is solved numerically by using a direct multiple shooting method.http://dx.doi.org/10.1155/2015/842792
collection DOAJ
language English
format Article
sources DOAJ
author Amira Rachah
Delfim F. M. Torres
spellingShingle Amira Rachah
Delfim F. M. Torres
Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa
Discrete Dynamics in Nature and Society
author_facet Amira Rachah
Delfim F. M. Torres
author_sort Amira Rachah
title Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa
title_short Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa
title_full Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa
title_fullStr Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa
title_full_unstemmed Mathematical Modelling, Simulation, and Optimal Control of the 2014 Ebola Outbreak in West Africa
title_sort mathematical modelling, simulation, and optimal control of the 2014 ebola outbreak in west africa
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2015-01-01
description The Ebola virus is currently one of the most virulent pathogens for humans. The latest major outbreak occurred in Guinea, Sierra Leone, and Liberia in 2014. With the aim of understanding the spread of infection in the affected countries, it is crucial to modelize the virus and simulate it. In this paper, we begin by studying a simple mathematical model that describes the 2014 Ebola outbreak in Liberia. Then, we use numerical simulations and available data provided by the World Health Organization to validate the obtained mathematical model. Moreover, we develop a new mathematical model including vaccination of individuals. We discuss different cases of vaccination in order to predict the effect of vaccination on the infected individuals over time. Finally, we apply optimal control to study the impact of vaccination on the spread of the Ebola virus. The optimal control problem is solved numerically by using a direct multiple shooting method.
url http://dx.doi.org/10.1155/2015/842792
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