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COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave
This study aimed to describe the characteristics of COVID-19 cases and close contacts during the first wave of COVID-19 in Malaysia (23 January 2020 to 26 February 2020), and to analyse the reasons why the outbreak did not continue to spread and lessons that can be learnt from this experience. Chara...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997663/ https://www.ncbi.nlm.nih.gov/pubmed/35409511 http://dx.doi.org/10.3390/ijerph19073828 |
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author | Ghazali, Sumarni Mohd Singh, Sarbhan Zulkifli, Asrul Anuar Cheong, Yoon Ling Md Iderus, Nuur Hafizah Md Zamri, Ahmed Syahmi Syafiq Ahmad Jaafar, Nadhar Lai, Chee Herng Wan Mohamed Noor, Wan Noraini Rusli, Norhayati Chong, Chee Kheong Aris, Tahir Mohd Ibrahim, Hishamshah Dass, Sarat Chandra Gill, Balvinder Singh |
author_facet | Ghazali, Sumarni Mohd Singh, Sarbhan Zulkifli, Asrul Anuar Cheong, Yoon Ling Md Iderus, Nuur Hafizah Md Zamri, Ahmed Syahmi Syafiq Ahmad Jaafar, Nadhar Lai, Chee Herng Wan Mohamed Noor, Wan Noraini Rusli, Norhayati Chong, Chee Kheong Aris, Tahir Mohd Ibrahim, Hishamshah Dass, Sarat Chandra Gill, Balvinder Singh |
author_sort | Ghazali, Sumarni Mohd |
collection | PubMed |
description | This study aimed to describe the characteristics of COVID-19 cases and close contacts during the first wave of COVID-19 in Malaysia (23 January 2020 to 26 February 2020), and to analyse the reasons why the outbreak did not continue to spread and lessons that can be learnt from this experience. Characteristics of the cases and close contacts, spatial spread, epidemiological link, and timeline of the cases were examined. An extended SEIR model was developed using several parameters such as the average number of contacts per day per case, the proportion of close contact traced per day and the mean daily rate at which infectious cases are isolated to determine the basic reproduction number (R(0)) and trajectory of cases. During the first wave, a total of 22 cases with 368 close contacts were traced, identified, tested, quarantine and isolated. Due to the effective and robust outbreak control measures put in place such as early case detection, active screening, extensive contact tracing, testing and prompt isolation/quarantine, the outbreak was successfully contained and controlled. The SEIR model estimated the R(0) at 0.9 which further supports the decreasing disease dynamics and early termination of the outbreak. As a result, there was a 11-day gap (free of cases) between the first and second wave which indicates that the first wave was not linked to the second wave. |
format | Online Article Text |
id | pubmed-8997663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89976632022-04-12 COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave Ghazali, Sumarni Mohd Singh, Sarbhan Zulkifli, Asrul Anuar Cheong, Yoon Ling Md Iderus, Nuur Hafizah Md Zamri, Ahmed Syahmi Syafiq Ahmad Jaafar, Nadhar Lai, Chee Herng Wan Mohamed Noor, Wan Noraini Rusli, Norhayati Chong, Chee Kheong Aris, Tahir Mohd Ibrahim, Hishamshah Dass, Sarat Chandra Gill, Balvinder Singh Int J Environ Res Public Health Article This study aimed to describe the characteristics of COVID-19 cases and close contacts during the first wave of COVID-19 in Malaysia (23 January 2020 to 26 February 2020), and to analyse the reasons why the outbreak did not continue to spread and lessons that can be learnt from this experience. Characteristics of the cases and close contacts, spatial spread, epidemiological link, and timeline of the cases were examined. An extended SEIR model was developed using several parameters such as the average number of contacts per day per case, the proportion of close contact traced per day and the mean daily rate at which infectious cases are isolated to determine the basic reproduction number (R(0)) and trajectory of cases. During the first wave, a total of 22 cases with 368 close contacts were traced, identified, tested, quarantine and isolated. Due to the effective and robust outbreak control measures put in place such as early case detection, active screening, extensive contact tracing, testing and prompt isolation/quarantine, the outbreak was successfully contained and controlled. The SEIR model estimated the R(0) at 0.9 which further supports the decreasing disease dynamics and early termination of the outbreak. As a result, there was a 11-day gap (free of cases) between the first and second wave which indicates that the first wave was not linked to the second wave. MDPI 2022-03-23 /pmc/articles/PMC8997663/ /pubmed/35409511 http://dx.doi.org/10.3390/ijerph19073828 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ghazali, Sumarni Mohd Singh, Sarbhan Zulkifli, Asrul Anuar Cheong, Yoon Ling Md Iderus, Nuur Hafizah Md Zamri, Ahmed Syahmi Syafiq Ahmad Jaafar, Nadhar Lai, Chee Herng Wan Mohamed Noor, Wan Noraini Rusli, Norhayati Chong, Chee Kheong Aris, Tahir Mohd Ibrahim, Hishamshah Dass, Sarat Chandra Gill, Balvinder Singh COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave |
title | COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave |
title_full | COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave |
title_fullStr | COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave |
title_full_unstemmed | COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave |
title_short | COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave |
title_sort | covid-19 in malaysia: descriptive epidemiologic characteristics of the first wave |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997663/ https://www.ncbi.nlm.nih.gov/pubmed/35409511 http://dx.doi.org/10.3390/ijerph19073828 |
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