SPATIAL CLUSTERING PHENOMENA OF COVID-19 CASES IN SELANGOR: A HOTSPOT ANALYSIS AND ORDINARY LEAST SQUARES METHOD

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SPATIAL CLUSTERING PHENOMENA OF COVID-19 CASES IN SELANGOR: A HOTSPOT ANALYSIS AND ORDINARY LEAST SQUARES METHOD

An increase in number of Coronavirus disease 2019 (COVID-19) cases will lead to more cluster discovery in Malaysia. Furthermore, with the increasing population, city growth, workplace income needs, high-risk groups, and other relevant factors can contribute to the formation of the new clusters. The...

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Bibliographic Details
Published in:	GEOINFORMATION WEEK 2022, VOL. 48-4
Main Authors:	Mohammad, Nur Syuhadah; Rasam, Abdul Rauf Abdul; Ghazali, Rosmadi; Idris, Roslina; Abu Bakar, Rabieahtul
Format:	Proceedings Paper
Language:	English
Published:	COPERNICUS GESELLSCHAFT MBH 2023
Subjects:	Computer Science; Remote Sensing
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001185691400032

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