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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| Format: | Thesis |
| Language: | English |
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2024
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| Online Access: | http://eprints.usm.my/63129/ |
| Abstract | Abstract here |
| _version_ | 1855630888165965824 |
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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. |
| first_indexed | 2025-12-24T00:13:36Z |
| format | Thesis |
| id | usm-63129 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-12-24T00:13:36Z |
| publishDate | 2024 |
| record_format | EPrints |
| record_pdf | Restricted |
| 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 |
