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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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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AT amirarachah mathematicalmodellingsimulationandoptimalcontrolofthe2014ebolaoutbreakinwestafrica AT delfimfmtorres mathematicalmodellingsimulationandoptimalcontrolofthe2014ebolaoutbreakinwestafrica |
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