Computational Modeling And Optimal Control Of Ebola Virus Disease Pdf

computational modeling and optimal control of ebola virus disease pdf

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Metrics details. Ebola virus disease EVD is a severe infection with an extremely high fatality rate spread through direct and indirect contacts.

Amira Rachah, Delfim F. 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 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 Ebola outbreak in Liberia.

Dynamical Models of Tuberculosis and Their Applications

Parvin, A. Islam, P. Mondal and M. DOI: See also my papers with citations in. M H A Biswas Search this site.

Ebola virus is very challenging problem of the world. The main purpose of this work is to study fractional Ebola virus model. An efficient computational method based on iterative scheme is proposed to solve fractional Ebola model numerically. Stability of proposed method is also discussed. Efficiency of proposed method is shown by listing CPU time.

Dynamical analysis and control strategies in modelling Ebola virus disease

Metrics details. The Ebola epidemic is the largest in history, affecting multiple countries in West Africa. Some isolated cases were also observed in other regions of the world. In this paper, we introduce a deterministic SEIR type model with additional hospitalization, quarantine and vaccination components in order to understand the disease dynamics. Optimal control strategies, both in the case of hospitalization with and without quarantine and vaccination are used to predict the possible future outcome in terms of resource utilization for disease control and the effectiveness of vaccination on sick populations.

Use of this Web site signifies your agreement to the terms and conditions. Special Issues. Contact Us. Change code. In this paper, a non-linear mathematical model for the dynamics of Ebola virus diseases is formulated and analysed. The model has five classes namely susceptible human, exposed human, infected human, treated human and recovered human. Invariant region and positivity solution of the model are determined.

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

This content has been downloaded from lOPscience. Please scroll down to see the full text. View the table of contents for this issue, or go to the journal homepage for more Download details: lP Address: Ethical challenges in social media engagement and research: considerations for code of engagement practices.

Zotero Mendeley EndNote. By using mathematical modeling and analysis, thelatest major outbreak of Ebola virus in West Africa is described. Our aim is tostudy and discuss the properties of SEIR models with respect to Ebola virus,the information they provide, and when the models make sense.

Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. The outbreak of the Ebola virus has resulted in significant morbidity and mortality in the affected areas, and Ebola virus RNA has been found in the semen of the survivors after 9 months of symptom onset.

Optimal control analysis of Ebola disease with control strategies of quarantine and vaccination

Nonlinear Dynamics in Epidemic Systems

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