Musa Kamarul Imran, Abdullah Jafri Malin
Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Malays J Med Sci. 2020 Dec;27(6):1-6. doi: 10.21315/mjms2020.27.6.1. Epub 2020 Dec 29.
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.
马来西亚沙巴州、雪兰莪州和森美兰州出现了大量新冠肺炎病例，严重急性呼吸综合征冠状病毒2（SARS-CoV-2）明显迅速传播，这表明新冠肺炎近期的传播性激增。问题依然存在：马来西亚即将到来的第二波新冠肺炎疫情的主要促成因素是什么？为什么当前的监测系统没有显示出即将到来的第二波或第三波新冠肺炎疫情的迹象？在公共卫生监测中，数据是最终指标，在大数据和工业4.0时代，数据已成为一种宝贵的商品。新冠肺炎数据保管者必须满足一些标准，以确保新冠肺炎数据有用。研究人员有责任负责任地共享他们的新冠肺炎数据。新冠肺炎监测至关重要，必须参考世界卫生组织发布的《新冠肺炎公共卫生监测：临时指南》等指南。必须认真对待并共享数据，以使科学家、临床医生、流行病学家和公共卫生专家能够抗击新冠肺炎。
