MARC details
| 000 -LEADER |
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04338nam a22003497a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20260120180337.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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260120t20252025my a|||fs|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010291 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| 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) |
FIST .S536 2025 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Chew, Sian Hui, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Genomic epidemiology of Sars-Cov-2 in Malaysia / |
| Statement of responsibility, etc. |
Chew Sian Hui |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2025 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xiii, 108 pages : |
| Other physical details |
illustrations ; |
| 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 |
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| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Industrial Sciences and Technology |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Final Year Report (Bachelor of Applied Science in Industrial Biotechnology) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Include bibliographical reference |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has posed unprecedented challenges to global health systems. This research project aims to elucidate the genomic epidemiology of SARS-CoV-2 in Malaysia by analysing whole genome sequences of SARS-CoV-2 sourced from the GISAID EpiCoV databases. Bioinformatics tools were used to construct phylogenetic tree and investigate the evolutionary relationships among the virus strains circulating in Malaysia from the beginning of the pandemic until 30 November 2024. The research began with the collection of genomic epidemiological data of SARS-CoV-2 from KKMNOW and Ministry of Health Malaysia (MOH) websites, including daily confirmed cases, death cases, hospitalizations, and daily testing performed. The genomic epidemiological data collected was compiled in Excel files and visualised into choropleth maps using Tableau Public to depict the spatial distribution of key indicators across different states in Malaysia. The dataset of VOIs and VOCs collected from the GISAID EpiCoV databases were visualised into choropleth map to track the circulation of variants within Malaysia. The analysis of SARS-CoV-2 sequences was conducted by retrieving the data from GISAID EpiCoV databases. The phylogenetic tree was constructed using Nextstrain – Nextclade tool and visualised using Auspice.us to understand the evolution of SARSCoV-2 variants. The findings suggested that nine distinct waves of COVID-19 were identified, with the initial case reported on 25 January 2020. Despite record-high cases during the fifth wave, health conditions stabilized, leading to varying trends in subsequent waves. A decline in COVID-19 outbreaks was observed starting from the sixth wave of the pandemic. In 2024, Malaysia transitioned into an endemic phase due to the relatively low of reported confirmed cases. Selangor consistently reported high numbers of cases, deaths, hospitalizations, and diagnostic tests, linked to the population density. The genomic surveillance revealed that AY.59 as the predominant variant circulating in Malaysia, followed by AY.79. AY.23 was dominated in Sarawak, accounting for 61.34% (2063 high coverage sequences submitted). AY.76 was predominated in Sabah and Labuan, accounting for 38.38% (137 sequences) and 40% (16 sequences), respectively. BA.2 emerged as the most prevalent variant in Selangor, accounting for 40.24% (957 sequences). The top 5 SARS-CoV-2 lineages emerged during 2024 were JN.1, KP.2.3, XDY, KP.1.1.3, and KP.3. The phylogenetic analysis showed the ubiquity of Omicron variants with diverse sub-lineages such as ‘21L’ and ‘23I’, along with novel recombinant lineages like XBB and variant JN.1. This study provided the comprehension knowledge of the genomic epidemiology of SARS-CoV-2 in Malaysia with valuable insights into the evolution and transmission patterns of the virus. Genetic data and geographical dispersion maps are essential assets for policymakers and health professionals in effectively managing ongoing pandemic challenges. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Industrial Sciences and Technology |
| 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 |
Final Year Report |
| General subdivision |
Dissertations |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
http://umpir.ump.edu.my/id/eprint/45600 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Final Year Report |