MARC details
| 000 -LEADER |
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| fixed length control field |
03763ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125110857.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240524t20242024my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0009844 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
PSM .S53 2024 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Shahirah Atikah Binti Mohamad Husnin, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university / |
| Statement of responsibility, etc. |
Shahirah Atikah Binti Mohamad Husnin |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 137 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Centre for Mathematical Sciences |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Master of Science (Mathematics)) -- Universiti Malaysia Pahang – 2024 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Due to the ongoing Coronavirus Disease 2019 (COVID-19) endemic, proper mathematical modelling to capture disease transmission is an essential tool for developing control methods and identifying driving factors in disease dynamics. However, COVID-19 modelling is not a one-size-fits-all approach, as it varies depending on many factors such as vaccination, intervention measures, social distancing and population. In this study, an improved mathematical model was proposed with time-dependent epidemiological parameters for COVID-19 by considering the factors of lockdown and vaccination for a university in Malaysia. The model is based on Susceptible-Infected-Recovered-Dead (SIRD) framework and in the form of a set of Ordinary Differential Equations. The model development involved three stages. It begins with the simplest setting of the model which used constant epidemiological parameters known as Model I that neglect the vaccination factor. Then, the model's complexity was increased to Model II, utilizing the time-dependent epidemiological parameters. The final stage is Model III which used time-dependent epidemiological parameters and included the vaccination factor. The models were numerically solved using the Runge Kutta fourth order method (RK4) and parameter fitting techniques namely Pattern Search and Nelder-Mead Simplex algorithm embedded in MATLAB software. In addition, a sensitivity analysis of the parameters was carried out to determine the relative influence of the model parameters on disease transmissions. To validate the results, a comparison between the model and the actual data was carried out and measured using mean absolute percentage error (MAPE) and root mean squared error (RMSE). As a result, Model III was adequately fitted to the actual data. In addition, a MATLAB-based graphical user interface (GUI) was developed to provide a better insight to the effectiveness of the vaccine in a population. The GUI is able to provide a rough percentage of vaccine effectiveness, as indicated by the good agreement of the projection and the actual data for the university. This research offers healthcare personnel a validated mathematical model along with tools for analysis and visualization which enables to make data-driven decisions and effectively manage the impact of COVID-19 within the university population. In future work, the developed mathematical model can be extended to incorporate the diversity of available vaccines, considering their varying efficacies and mechanisms of action. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Centre for Mathematical Sciences |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |