Visualisation System of COVID-19 Data in Malaysia

  • REHMAN ULLAH KHAN Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • NOR SYAZA SYAMIMI Faculty of Cognitive Sciences & Human Development, Universiti Malaysia Sarawak, Kota Samarahan, 94300 Sarawak, Malaysia
  • CLADIA SIMBUT ANAK MAMBANG Faculty of Cognitive Sciences & Human Development, Universiti Malaysia Sarawak, Kota Samarahan, 94300 Sarawak, Malaysia
  • IVY ANAK THOMAS Faculty of Cognitive Sciences & Human Development, Universiti Malaysia Sarawak, Kota Samarahan, 94300 Sarawak, Malaysia
  • TZI NI WEE Faculty of Cognitive Sciences & Human Development, Universiti Malaysia Sarawak, Kota Samarahan, 94300 Sarawak, Malaysia
Keywords: COVID-19, Decision support system, Disaster management, Panic, Pandemic


Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about the pandamic. Machine learning algorithms can analyse the data and then we can plan for handling the pandamic. To date, many people are suffering because of the lack of reliable information system. The problem is that there is no integrated system to use the data and plan for pandemic management to minimise social panic. This study aims to provide a system, using COVID-19 data as a sample to visualise and analyse cases, deaths, discharged ICU cases updates in Malaysia as a whole state wise of COVID-19 daily statistics. The results provide visualisation and case comparison among states in Malaysia to easily and quickly understand the situation. This will help and assist the management in decision-making.


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How to Cite
KHAN, R. U., SYAMIMI, N. S., MAMBANG, C. S. A., THOMAS, I. A., & WEE, T. N. (2021). Visualisation System of COVID-19 Data in Malaysia. Trends in Undergraduate Research, 4(1), e8-17.
Cognitive Sciences and Human Development