Mathematical Modeling of Ebola Virus Disease in Bat Population

Many scientific researches have demonstrated that bats can survive Ebola virus and they represent natural reservoirs of this zoonotic virus. In this study, we develop a generalized epizootic model for the transmission dynamics of Ebola virus disease (EVD) in bat population by taking into account the...

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Main Authors: Zineb EL Rhoubari, Hajar Besbassi, Khalid Hattaf, Noura Yousfi
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2018/5104524
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author Zineb EL Rhoubari
Hajar Besbassi
Khalid Hattaf
Noura Yousfi
author_facet Zineb EL Rhoubari
Hajar Besbassi
Khalid Hattaf
Noura Yousfi
author_sort Zineb EL Rhoubari
collection DOAJ
description Many scientific researches have demonstrated that bats can survive Ebola virus and they represent natural reservoirs of this zoonotic virus. In this study, we develop a generalized epizootic model for the transmission dynamics of Ebola virus disease (EVD) in bat population by taking into account the environment contamination. The transmission process is modeled by two general incidence functions that include many incidence rates used in infectious diseases modeling. We first prove that the model is epidemiologically and mathematically well-posed by showing the existence, positivity, and boundedness of solutions. By analyzing the characteristic equations and constructing suitable Lyapunov functionals, the stability analysis of equilibria is investigated.
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publishDate 2018-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-907e1bc2f8994efdb8d9cb46902a9e812025-08-20T03:20:30ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/51045245104524Mathematical Modeling of Ebola Virus Disease in Bat PopulationZineb EL Rhoubari0Hajar Besbassi1Khalid Hattaf2Noura Yousfi3Laboratory of Analysis, Modeling and Simulation (LAMS), Faculty of Sciences Ben M’sik, Hassan II University, P.O. Box 7955, Sidi Othman, Casablanca, MoroccoLaboratory of Analysis, Modeling and Simulation (LAMS), Faculty of Sciences Ben M’sik, Hassan II University, P.O. Box 7955, Sidi Othman, Casablanca, MoroccoLaboratory of Analysis, Modeling and Simulation (LAMS), Faculty of Sciences Ben M’sik, Hassan II University, P.O. Box 7955, Sidi Othman, Casablanca, MoroccoLaboratory of Analysis, Modeling and Simulation (LAMS), Faculty of Sciences Ben M’sik, Hassan II University, P.O. Box 7955, Sidi Othman, Casablanca, MoroccoMany scientific researches have demonstrated that bats can survive Ebola virus and they represent natural reservoirs of this zoonotic virus. In this study, we develop a generalized epizootic model for the transmission dynamics of Ebola virus disease (EVD) in bat population by taking into account the environment contamination. The transmission process is modeled by two general incidence functions that include many incidence rates used in infectious diseases modeling. We first prove that the model is epidemiologically and mathematically well-posed by showing the existence, positivity, and boundedness of solutions. By analyzing the characteristic equations and constructing suitable Lyapunov functionals, the stability analysis of equilibria is investigated.http://dx.doi.org/10.1155/2018/5104524
spellingShingle Zineb EL Rhoubari
Hajar Besbassi
Khalid Hattaf
Noura Yousfi
Mathematical Modeling of Ebola Virus Disease in Bat Population
Discrete Dynamics in Nature and Society
title Mathematical Modeling of Ebola Virus Disease in Bat Population
title_full Mathematical Modeling of Ebola Virus Disease in Bat Population
title_fullStr Mathematical Modeling of Ebola Virus Disease in Bat Population
title_full_unstemmed Mathematical Modeling of Ebola Virus Disease in Bat Population
title_short Mathematical Modeling of Ebola Virus Disease in Bat Population
title_sort mathematical modeling of ebola virus disease in bat population
url http://dx.doi.org/10.1155/2018/5104524
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