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Malaysia and COVID-19: In Data We Trust.
Musa, Kamarul Imran; Abdullah, Jafri Malin.
  • Musa KI; Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
  • Abdullah JM; Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Malays J Med Sci ; 27(6): 1-6, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1033638
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Malays J Med Sci Year: 2020 Document Type: Article Affiliation country: Mjms2020.27.6.1

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Malays J Med Sci Year: 2020 Document Type: Article Affiliation country: Mjms2020.27.6.1