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1.
Analysis of COVID-19 tracking tool in india: case study of aarogya setu mobile application
Vaishnavi Verma, Prashi Goyal, Srishti Wadhera, Rajan Gupta, Manan Bedi, 2020, original scientific article

Abstract: 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.
Found in: ključnih besedah
Keywords: COVID-19, India, contact-tracing, tracking tool, Bluetooth, GPS, COVID19 reporting tool, Aarogya Setu
Published: 01.04.2021; Views: 455; Downloads: 18
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2.
Technological and analytical review of contact tracing apps for COVID-19 management
Poonam Chaudhary, Saibal K. Pal, Rajan Gupta, Gaurav Pandey, 2021, original scientific article

Abstract: Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solutions that are used by more than 100 countries today. This study presents a structured research review-based framework related to multiple contact tracing applications. The various components of the framework are related to technological working, design architecture, and feature analysis of the applications, along with the analysis of the acceptance of such applications worldwide. Also, components focusing on the security features and analysis of these applications based on Data Privacy, Security Vetting, and different attacks have been included in the research framework. Many applications are yet to explore the analytical capabilities of the data generated through contact tracing. The various use-cases identified for these applications are detecting positive case probability, identifying a containment zone in the country, finding regional hotspots, monitoring public events & gatherings, identifying sensitive routes, and allocating resources in various regions during the pandemic. This study will act as a guide for the users researching contact tracings applications using the proposed four-layered framework for their app assessment.
Found in: ključnih besedah
Summary of found: ...corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis...
Keywords: novel corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis
Published: 02.04.2021; Views: 441; Downloads: 0
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