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Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari

Ebola virus remarks as one of the most lethal pathogens for humans which lead to loss of many lives. In this project, a mathematical model of Susceptible-Exposed-Infectious-Recovered (SEIR) models are presented. The West Africa Ebola Virus Disease (EBV) is described as having the latest major outbre...

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Main Authors: Asmadie, Nurfatihah, Shaifull Bahari, Nur Arina
Format: Student Project
Language:English
Published: 2018
Subjects:
Study and teaching
Equations
Analysis
Online Access:https://ir.uitm.edu.my/id/eprint/109294/1/109294.pdf
https://ir.uitm.edu.my/id/eprint/109294/
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spelling my.uitm.ir.1092942025-02-03T16:31:00Z https://ir.uitm.edu.my/id/eprint/109294/ Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari Asmadie, Nurfatihah Shaifull Bahari, Nur Arina Study and teaching Equations Analysis Ebola virus remarks as one of the most lethal pathogens for humans which lead to loss of many lives. In this project, a mathematical model of Susceptible-Exposed-Infectious-Recovered (SEIR) models are presented. The West Africa Ebola Virus Disease (EBV) is described as having the latest major outbreak by playing with the mathematical model and numerical sim­ulations. Discussion and study of the EBV along with SEIR models properties, validity of the models and gathering information is done to enable in analyzing more about EBV. With the help of maple software, verifying and validating is done through numerical simulations. More detailed case study of the real cases is discussed and investigation of vaccination role to con­trol and predict the virus in the population is put into action. Therefore, investigation on the strategies in order to predict and halt the spread of Ebola virus with the application of cor­rect measures in controlling it optimally by the model of SEIR so that the number of infected individual can be reduced. This is set as the goal of our study. 2018 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/109294/1/109294.pdf Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari. (2018) [Student Project] <http://terminalib.uitm.edu.my/109294.pdf> (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Study and teaching
Equations
Analysis
spellingShingle Study and teaching
Equations
Analysis
Asmadie, Nurfatihah
Shaifull Bahari, Nur Arina
Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari
description Ebola virus remarks as one of the most lethal pathogens for humans which lead to loss of many lives. In this project, a mathematical model of Susceptible-Exposed-Infectious-Recovered (SEIR) models are presented. The West Africa Ebola Virus Disease (EBV) is described as having the latest major outbreak by playing with the mathematical model and numerical sim­ulations. Discussion and study of the EBV along with SEIR models properties, validity of the models and gathering information is done to enable in analyzing more about EBV. With the help of maple software, verifying and validating is done through numerical simulations. More detailed case study of the real cases is discussed and investigation of vaccination role to con­trol and predict the virus in the population is put into action. Therefore, investigation on the strategies in order to predict and halt the spread of Ebola virus with the application of cor­rect measures in controlling it optimally by the model of SEIR so that the number of infected individual can be reduced. This is set as the goal of our study.
format Student Project
author Asmadie, Nurfatihah
Shaifull Bahari, Nur Arina
author_facet Asmadie, Nurfatihah
Shaifull Bahari, Nur Arina
author_sort Asmadie, Nurfatihah
title Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari
title_short Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari
title_full Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari
title_fullStr Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari
title_full_unstemmed Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari
title_sort technical report: analyzing, predicting and controlling the ebola disease by using seir model / nurfatihah asmadie and nur arina shaifull bahari
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/109294/1/109294.pdf
https://ir.uitm.edu.my/id/eprint/109294/
_version_ 1823097894212730880
score 13.239859

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