Abstract

The world was shocked by an unprecedented outbreak caused by coronavirus disease 2019 (COVID-19). In Malaysia, it started with the largest number of COVID-19 cases with the first wave of infection on 25 January 2020. The objectives of this paper are to obtain the perspective of the respondents about the need for web-mapping in the form of mapping the geospatial data in Malaysia and to visualize the current online datasets of COVID-19 disease case clusters. The study area would cover the entire Malaysia since a rapidly increasing number of citizens were affected by this virus. To be specific, this study focused on the active clusters of COVID-19 in Malaysia. The data were freely shared in real-time by referring to the Ministry of Health (MOH) channel. The hotspots map were explored using the Map Editor by Cloud GIS. The approach has been illustrated using a dataset of whole Malaysia which are locally transmitted confirmed cases in four phases of COVID-19 wave in Malaysia. This study is significant to raise public awareness of the virus, especially among Malaysian citizens. It can provide an accurate estimation of the cluster tracking of the COVID-19 system by using geospatial technology. Therefore, people are more concerned and followed all the Standard Operating Procedure (SOP) provided by the government to prevent the spread of COVID-19.

Highlights

  • SARS-CoV-2 is the virus that causes COVID-19

  • The Health Minister in Malaysia, Datuk Seri Dr Dzulkefly Ahmad confirmed that the first case of COVID-19, involving three Chinese citizens who entered from Singapore via Johor on 23rd January 2020

  • This study used ArcGIS Online and GIS Cloud platform to convey information about the COVID-19 virus according to clusters in Malaysia in the form of mapping, and to display the data attributes obtained from Ministry of Health (MOH)

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Summary

Introduction

SARS-CoV-2 is the virus that causes COVID-19. As of 23rd March 2020, 14,510 people have died from the rapidly spreading virus, including Malaysia. The Health Minister in Malaysia, Datuk Seri Dr Dzulkefly Ahmad confirmed that the first case of COVID-19, involving three Chinese citizens who entered from Singapore via Johor on 23rd January 2020. As a result of the virus infection, there were various COVID-19 clusters in Malaysia, with the biggest clusters being the tabligh assembly cluster at Sri Petaling Mosque. This study used ArcGIS Online and GIS Cloud platform to convey information about the COVID-19 virus according to clusters in Malaysia in the form of mapping, and to display the data attributes obtained from MOH

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