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The Epidemiology of COVID-19 in Malaysia
BACKGROUND: COVID-19 has rapidly spread across the globe. Critical to the control of COVID-19 is the characterisation of its epidemiology. Despite this, there has been a paucity of evidence from many parts of the world, including Malaysia. We aim to describe the epidemiology of COVID-19 in Malaysia...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529946/ https://www.ncbi.nlm.nih.gov/pubmed/34704083 http://dx.doi.org/10.1016/j.lanwpc.2021.100295 |
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author | Jayaraj, Vivek Jason Rampal, Sanjay Ng, Chiu-Wan Chong, Diane Woei Quan |
author_facet | Jayaraj, Vivek Jason Rampal, Sanjay Ng, Chiu-Wan Chong, Diane Woei Quan |
author_sort | Jayaraj, Vivek Jason |
collection | PubMed |
description | BACKGROUND: COVID-19 has rapidly spread across the globe. Critical to the control of COVID-19 is the characterisation of its epidemiology. Despite this, there has been a paucity of evidence from many parts of the world, including Malaysia. We aim to describe the epidemiology of COVID-19 in Malaysia to inform prevention and control policies better. METHODS: Malaysian COVID-19 data was extracted from 16 March 2020 up to 31 May 2021. We estimated the following epidemiological indicators: 7-day incidence rates, 7-day mortality rates, case fatality rates, test positive ratios, testing rates and the time-varying reproduction number (Rt). FINDINGS: Between 16 March 2020 and 31 May 2021, Malaysia has reported 571,901 cases and 2,796 deaths. Malaysia's average 7-day incidence rate was 26•6 reported infections per 100,000 population (95% CI: 17•8, 38•1). The average test positive ratio and testing rate were 4•3% (95% CI: 1•6, 10•2) and 0•8 tests per 1,000 population (95% CI: <0•1, 3•7), respectively. The case fatality rates (CFR) was 0•6% (95% CI: <0•1, 3•7). Among the 2,796 cases who died, 87•3% were ≥ 50 years. INTERPRETATION: The public health response was successful in the suppression of COVID-19 transmission or the first half of 2020. However, a state election and outbreaks in institutionalised populations have been the catalyst for more significant community propagation. This rising community transmission has continued in 2021, leading to increased incidence and strained healthcare systems. Calibrating NPI based on epidemiological indicators remain critical for us to live with the virus. (243 words) FUNDING: This study is part of the COVID-19 Epidemiological Analysis and Strategies (CEASe) Project with funding from the Ministry of Science, Technology and Innovation (UM.0000245/HGA.GV). |
format | Online Article Text |
id | pubmed-8529946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85299462021-10-22 The Epidemiology of COVID-19 in Malaysia Jayaraj, Vivek Jason Rampal, Sanjay Ng, Chiu-Wan Chong, Diane Woei Quan Lancet Reg Health West Pac Research Paper BACKGROUND: COVID-19 has rapidly spread across the globe. Critical to the control of COVID-19 is the characterisation of its epidemiology. Despite this, there has been a paucity of evidence from many parts of the world, including Malaysia. We aim to describe the epidemiology of COVID-19 in Malaysia to inform prevention and control policies better. METHODS: Malaysian COVID-19 data was extracted from 16 March 2020 up to 31 May 2021. We estimated the following epidemiological indicators: 7-day incidence rates, 7-day mortality rates, case fatality rates, test positive ratios, testing rates and the time-varying reproduction number (Rt). FINDINGS: Between 16 March 2020 and 31 May 2021, Malaysia has reported 571,901 cases and 2,796 deaths. Malaysia's average 7-day incidence rate was 26•6 reported infections per 100,000 population (95% CI: 17•8, 38•1). The average test positive ratio and testing rate were 4•3% (95% CI: 1•6, 10•2) and 0•8 tests per 1,000 population (95% CI: <0•1, 3•7), respectively. The case fatality rates (CFR) was 0•6% (95% CI: <0•1, 3•7). Among the 2,796 cases who died, 87•3% were ≥ 50 years. INTERPRETATION: The public health response was successful in the suppression of COVID-19 transmission or the first half of 2020. However, a state election and outbreaks in institutionalised populations have been the catalyst for more significant community propagation. This rising community transmission has continued in 2021, leading to increased incidence and strained healthcare systems. Calibrating NPI based on epidemiological indicators remain critical for us to live with the virus. (243 words) FUNDING: This study is part of the COVID-19 Epidemiological Analysis and Strategies (CEASe) Project with funding from the Ministry of Science, Technology and Innovation (UM.0000245/HGA.GV). Elsevier 2021-10-21 /pmc/articles/PMC8529946/ /pubmed/34704083 http://dx.doi.org/10.1016/j.lanwpc.2021.100295 Text en © 2021 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Jayaraj, Vivek Jason Rampal, Sanjay Ng, Chiu-Wan Chong, Diane Woei Quan The Epidemiology of COVID-19 in Malaysia |
title | The Epidemiology of COVID-19 in Malaysia |
title_full | The Epidemiology of COVID-19 in Malaysia |
title_fullStr | The Epidemiology of COVID-19 in Malaysia |
title_full_unstemmed | The Epidemiology of COVID-19 in Malaysia |
title_short | The Epidemiology of COVID-19 in Malaysia |
title_sort | epidemiology of covid-19 in malaysia |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529946/ https://www.ncbi.nlm.nih.gov/pubmed/34704083 http://dx.doi.org/10.1016/j.lanwpc.2021.100295 |
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