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.
【저자키워드】 COVID-19, SARS-CoV-2, Surveillance, non-pharmacological interventions, 【초록키워드】 public health, Malaysia, Spread, Health, Transmissibility, second wave, criteria, World Health Organization, Clinicians, Factor, COVID-19 case, epidemiologist, Selangor, question, Industrial Revolution, Negeri Sembilan, 【제목키워드】 Malaysia, Trust,