The Real-Time Situation of Covid-19 Pandemic between MCO, CMCO and RMCO Using Geographic Information System (GIS): Study Case in Malaysia

Globally, the most infectious disease was the new term of coronavirus disease by COVID-19 in all countries from the end of the year in 2019 until August 2020. Until now, COVID-19 not yet to solve and no meet vaccine. At the end of December 2019, there was an international cluster of cases involving Novel Coronavirus in Wuhan, China. The worldwide number of active cases and deaths is rising, especially in the top countries such as the United States (U.S), Brazil, and India. In Malaysia, these cases of COVID-19 have significantly decreased the number of active infections and deaths from May to August 2020. COVID-19 has a significant effect on human life, socio-economic growth, and public relation. It is focused at older age groups and individuals with various health problem conditions such as cancer, respiratory problems, diabetes, hypertension, and heart-related issues. Therefore, the World Health Organization (WHO) has formally declared COVID-19 as an international critical case. The research uses GIS software to analyse COVID-19’s spatial-temporal of real time situation between Movement Control Order (MCO) in Malaysia. COVID-19 information obtained between on 27 February until August 2020 and analysed using ArcGIS software 10.5 and SPSS for statistical analysis. Real time situation conducted to show distribution and changing patterns of the COVID-19 pandemic within MCO implemented. As a result, Kuala Lumpur was the most affected state in Malaysia as of 19 August 2020, followed by Selangor, Negeri Sembilan, and Johor. Regardless of the infection chain ratio, the favourable cases in each Malaysia’s affected state are rising every day. The Malaysian Government attempted to split the infection chain ratio affected by COVID-19 via the lockdown definition. Geographic Information Systems (GIS) technologies have played a significant role in spatial information, spatial tracking of confirmed cases, active case, death, and discharge cases, and real time for predicting the magnitude of the spread. Monitoring, evaluating, and planning using geospatial analysis are essential for controlling COVID-19 within the country especially in the developing countries.