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Naslov:Analysis of COVID-19 tracking tool in india: case study of aarogya setu mobile application : Case Study of Aarogya Setu Mobile Application
Avtorji:Gupta, Rajan (Avtor)
Bedi, Manan (Avtor)
Goyal, Prashi (Avtor)
Wadhera, Srishti (Avtor)
Verma, Vaishnavi (Avtor)
Datoteke:URL https://dl.acm.org/doi/10.1145/3416088
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano ()
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis:COVID-19 tracking tools or contact-tracing apps are getting developed at a rapid pace by different governments in their respective countries. This study explores one such tool called Aarogya Setu, developed by the Government of India. It is a mobile application developed under the Health Ministry, as a part of the E-Governance initiative, to track and sensitize the citizens of India in a joint battle against COVID-19 spread. The study aims to understand various useful features of this tool and to present different concepts of data science applied within the application along with its importance in managing the ongoing pandemic. The App uses Bluetooth and GPS technologies to alert a user when they are nearby a COVID-19 infected person. The application uses various Data Science concepts such as Classification, Association Rule Mining, and Clustering to analyze COVID-19 spread in India. The study also shows potential upgradations in the application, which includes usage of Artificial Intelligence and Computer Vision to detect COVID-19 patients. The study would be useful for mobile technology professionals, data science professionals, medical practitioners, health-related frontline workers, public administrators, and government officials.
Ključne besede:COVID-19, India, contact-tracing, tracking tool, Bluetooth, GPS, COVID19 reporting tool, Aarogya Setu
Leto izida:2020
Št. strani:str. 1-8
Številčenje:no. 4, Vol. 1
COBISS_ID:57960707 Povezava se odpre v novem oknu
UDK:004
ISSN pri članku:2639-0175
URN:URN:SI:UNG:REP:L49OLAN9
DOI:10.1145/3416088 Povezava se odpre v novem oknu
Število ogledov:370
Število prenosov:15
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Gradivo ni uvrščeno v področja.
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Skupna ocena:(0 glasov)
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Gradivo je del revije

Naslov:Digital government
Skrajšan naslov:Digit. gov.
Založnik:Association for Computing Machinery
ISSN:2639-0175
COBISS.SI-ID:57957379 Novo okno

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