COVID-19 intelligent tracking platform

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorMohamed, Samer Ibrahim
dc.date.accessioned2022-04-13T07:24:16Z
dc.date.available2022-04-13T07:24:16Z
dc.date.issued2022-03
dc.description.abstractFrom the ending of year 2019 till now, the COVID-19 pandemic has spread with expanded fatalities all throughout the planet and has become a worldwide general wellbeing emergency. General wellbeing experts in numerous nations have acquainted contact tracing applications to track and follow carrier people. Our proposed covid19 tracking platform aim to build a tracking system for the prospect COVID infected persons within specific domain defined by the WHO. The system is developed with the flutter and DART programming language to support as wide range of mobile phones as possible; the app uses Bluetooth address to tackle the known privacy issues and be able to track users without storing their real identities and uses their location data in real time to show hospitals. This considered one of the main uniqueness of our proposed system to adhere with the national and international privacy regulations in many countries. The results shed on that the app is able to successfully track users and create a statistic of all users registered with their real-time status and show hospitals for users.en_US
dc.description.sponsorshipOctober University for modern sciences and Arts (MSA)en_US
dc.description.urihttps://doi.org//repository.msa.edu.eg/xmlui/handle/123456789/4911
dc.identifier.doihttps://doi.org/10.21608/MSAENG.2022.229899
dc.identifier.otherhttps://doi.org/10.21608/MSAENG.2022.229899
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4911
dc.language.isoen_USen_US
dc.publisherMSA Universityen_US
dc.relation.ispartofseriesMSA University Engineering Journal;Volume 1, Issue 2
dc.subjectCOVID-19en_US
dc.subjectMobileen_US
dc.subjectTrackingen_US
dc.subjectIntelligenten_US
dc.titleCOVID-19 intelligent tracking platformen_US
dc.typeArticleen_US

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