Affiliations 

  • 1 Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Seri Iskandar, Perak. [email protected]
  • 2 IIC University of Technologi. [email protected]
  • 3 Project Wing (PSDP), Planning Division and Special Initiatives, Govt of the Pakistan, Islamabad. [email protected]
  • 4 Department of Statistics, University of Peshawar, Peshawar. [email protected]
Geospat Health, 2021 May 05;16(1).
PMID: 33969966 DOI: 10.4081/gh.2021.961

Abstract

Coronavirus disease 2019 (COVID-19) is the current worldwide pandemic as declared by the World Health Organization (WHO) in March 2020. Being part of the ongoing global pandemic, Malaysia has recorded a total of 8639 COVID-19 cases and 121 deaths as of 30th June 2020. This study aims to detect spatial clusters of COVID-19 in Malaysia using the Spatial Scan Statistic (SaTScan™) to guide control authorities on prioritizing locations for targeted interventions. The spatial analyses were conducted on a monthly basis at the state-level from March to September 2020. The results show that the most likely cluster of COVID-19 occurred in West Malaysia repeatedly from March to June, covering three counties (two federal territories and one neighbouring state) and moved to East Malaysia in July covering two other counties. The most likely cluster shows a tendency of having moved from the western part to the eastern part of the country. These results provide information that can be used for the evidence- based interventions to control the spread of COVID-19 in Malaysia. A Correction has been published: https://doi.org/10.4081/gh.2023.1233

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.