Modified Deterministic Modelling For Tuberculosis Infection

Tuberculosis (TB), caused by the Mycobacterium tuberculosis, is one of the contagious disease that mainly attacks human lungs and caused 10.6 million new infection globally, with an average of 1.6 million people dying. In general, mathematical modelling can serve to understand the transmission patte...

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Main Author: Sulayman, Fatima
Format: Thesis
Language:English
Published: 2024
Subjects:
Online Access:http://eprints.usm.my/63129/
Abstract Abstract here
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author Sulayman, Fatima
author_facet Sulayman, Fatima
author_sort Sulayman, Fatima
description Tuberculosis (TB), caused by the Mycobacterium tuberculosis, is one of the contagious disease that mainly attacks human lungs and caused 10.6 million new infection globally, with an average of 1.6 million people dying. In general, mathematical modelling can serve to understand the transmission pattern and identify suitable controls in preventing the infections. Through mathematical modelling as well, the dynamics of an infection can be predicted more effectively. This in turn leads to the main purpose of this thesis where four compartmental deterministic models for tuberculosis infection is proposed. The developed models addressed the important factors related to the transmission of tuberculosis infection, such as public health education and hospital treatment, an imperfect vaccine, nonlinear saturated recovery (treatment) and optimal control.
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spelling usm-631292025-10-29T07:50:25Z http://eprints.usm.my/63129/ Modified Deterministic Modelling For Tuberculosis Infection Sulayman, Fatima QA1-939 Mathematics Tuberculosis (TB), caused by the Mycobacterium tuberculosis, is one of the contagious disease that mainly attacks human lungs and caused 10.6 million new infection globally, with an average of 1.6 million people dying. In general, mathematical modelling can serve to understand the transmission pattern and identify suitable controls in preventing the infections. Through mathematical modelling as well, the dynamics of an infection can be predicted more effectively. This in turn leads to the main purpose of this thesis where four compartmental deterministic models for tuberculosis infection is proposed. The developed models addressed the important factors related to the transmission of tuberculosis infection, such as public health education and hospital treatment, an imperfect vaccine, nonlinear saturated recovery (treatment) and optimal control. 2024-03 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/63129/1/Pages%20from%20FATIMA%20SULAYMAN%20-%20TESIS-2.pdf Sulayman, Fatima (2024) Modified Deterministic Modelling For Tuberculosis Infection. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA1-939 Mathematics
Sulayman, Fatima
Modified Deterministic Modelling For Tuberculosis Infection
thesis_level PhD
title Modified Deterministic Modelling For Tuberculosis Infection
title_full Modified Deterministic Modelling For Tuberculosis Infection
title_fullStr Modified Deterministic Modelling For Tuberculosis Infection
title_full_unstemmed Modified Deterministic Modelling For Tuberculosis Infection
title_short Modified Deterministic Modelling For Tuberculosis Infection
title_sort modified deterministic modelling for tuberculosis infection
topic QA1-939 Mathematics
url http://eprints.usm.my/63129/
work_keys_str_mv AT sulaymanfatima modifieddeterministicmodellingfortuberculosisinfection