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Utilizing Mobility Tracking to Identify Hotspots for Contagious Disease Spread : A Case Study of UNITEN Students Using Google Map Data

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dc.citedby0
dc.contributor.authorWyin Y.M.en_US
dc.contributor.authorKrishnan P.S.en_US
dc.contributor.authorPhing C.C.en_US
dc.contributor.authorKiong T.S.en_US
dc.contributor.authorid58687252300en_US
dc.contributor.authorid36053261400en_US
dc.contributor.authorid57884999200en_US
dc.contributor.authorid57216824752en_US
dc.date.accessioned2024-10-14T03:17:57Z
dc.date.available2024-10-14T03:17:57Z
dc.date.issued2023
dc.description.abstractA significant global health problem nowadays is the incidence of serious infectious illnesses. An extraordinary humanitarian crisis has been brought on by the current COVID-19 pandemic, which has spread around the world. The spread of new viruses has put established healthcare institutions under tremendous strain and created a number of pressing problems. It is important to predict the future movement and pattern of the illness in order to decrease infectious instances and maximize recovered cases. This research paper aims to utilize mobility tracking as a means to identify hotspots for contagious disease spread. The study focuses on collecting and analyzing mobility data from UNITEN students using Google Map data over a period of two weeks. The paper describes the data collection process, data pre-processing steps, and the application of the HDBSCAN algorithm for hotspot clustering. The results demonstrate the effectiveness of HDBSCAN in identifying hotspots based on the mobility data. The findings highlight the potential of mobility tracking for disease surveillance and provide insights for public health interventions and preventive measures. Copyright � 2023.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.18080/jtde.v11n3.775
dc.identifier.epage1179
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85176343893
dc.identifier.spage163
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85176343893&doi=10.18080%2fjtde.v11n3.775&partnerID=40&md5=de87daffc9defcd9996372f78f2a337d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34096
dc.identifier.volume11
dc.pagecount1016
dc.publisherTelecommunications Association Inc.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleJournal of Telecommunications and the Digital Economy
dc.subjectCOVID-19
dc.subjectHDBSCAN
dc.subjectHotspot
dc.subjectinfection disease
dc.titleUtilizing Mobility Tracking to Identify Hotspots for Contagious Disease Spread : A Case Study of UNITEN Students Using Google Map Dataen_US
dc.typeArticleen_US
dspace.entity.typePublication
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