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Malaysia and COVID-19: In Data We Trust
The recent spike of transmissibility of COVID-19 was evident by a large number of COVID-19 cases and apparent quick spread of SARS-CoV-2 in the state of Sabah, Selangor and Negeri Sembilan in Malaysia. The question remains as to what are the main contributory factors for the impending COVID-19 secon...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Penerbit Universiti Sains Malaysia
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785267/ https://www.ncbi.nlm.nih.gov/pubmed/33447129 http://dx.doi.org/10.21315/mjms2020.27.6.1 |
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author | Musa, Kamarul Imran Abdullah, Jafri Malin |
author_facet | Musa, Kamarul Imran Abdullah, Jafri Malin |
author_sort | Musa, Kamarul Imran |
collection | PubMed |
description | The recent spike of transmissibility of COVID-19 was evident by a large number of COVID-19 cases and apparent quick spread of SARS-CoV-2 in the state of Sabah, Selangor and Negeri Sembilan in Malaysia. The question remains as to what are the main contributory factors for the impending COVID-19 second wave in Malaysia and why the current surveillance system fails to show signs of the impending second — or the third — COVID-19 wave. In public health surveillance, data are the ultimate indicator, and in the era of big data and the Industrial Revolution 4.0, data has become a valuable commodity. The COVID-19 data keeper must fulfil some criteria to ensure COVID-19 data are useful. Researchers are obligated to share their COVID-19 data responsibly. The surveillance for COVID-19 is paramount, and the guidelines such as the one published by the World Health Organization ‘Public health surveillance for COVID-19: interim guidance’ must be referred to. Data must be taken seriously and shared to enable scientists, clinicians, epidemiologists and public health experts fight COVID-19. |
format | Online Article Text |
id | pubmed-7785267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Penerbit Universiti Sains Malaysia |
record_format | MEDLINE/PubMed |
spelling | pubmed-77852672021-01-13 Malaysia and COVID-19: In Data We Trust Musa, Kamarul Imran Abdullah, Jafri Malin Malays J Med Sci Editorial The recent spike of transmissibility of COVID-19 was evident by a large number of COVID-19 cases and apparent quick spread of SARS-CoV-2 in the state of Sabah, Selangor and Negeri Sembilan in Malaysia. The question remains as to what are the main contributory factors for the impending COVID-19 second wave in Malaysia and why the current surveillance system fails to show signs of the impending second — or the third — COVID-19 wave. In public health surveillance, data are the ultimate indicator, and in the era of big data and the Industrial Revolution 4.0, data has become a valuable commodity. The COVID-19 data keeper must fulfil some criteria to ensure COVID-19 data are useful. Researchers are obligated to share their COVID-19 data responsibly. The surveillance for COVID-19 is paramount, and the guidelines such as the one published by the World Health Organization ‘Public health surveillance for COVID-19: interim guidance’ must be referred to. Data must be taken seriously and shared to enable scientists, clinicians, epidemiologists and public health experts fight COVID-19. Penerbit Universiti Sains Malaysia 2020-12 2020-12-29 /pmc/articles/PMC7785267/ /pubmed/33447129 http://dx.doi.org/10.21315/mjms2020.27.6.1 Text en © Penerbit Universiti Sains Malaysia, 2020 This work is licensed under the terms of the Creative Commons Attribution (CC BY) (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Editorial Musa, Kamarul Imran Abdullah, Jafri Malin Malaysia and COVID-19: In Data We Trust |
title | Malaysia and COVID-19: In Data We Trust |
title_full | Malaysia and COVID-19: In Data We Trust |
title_fullStr | Malaysia and COVID-19: In Data We Trust |
title_full_unstemmed | Malaysia and COVID-19: In Data We Trust |
title_short | Malaysia and COVID-19: In Data We Trust |
title_sort | malaysia and covid-19: in data we trust |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785267/ https://www.ncbi.nlm.nih.gov/pubmed/33447129 http://dx.doi.org/10.21315/mjms2020.27.6.1 |
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