1. Technological and analytical review of contact tracing apps for COVID-19 managementRajan Gupta, Gaurav Pandey, Poonam Chaudhary, Saibal K. Pal, 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. Keywords: novel corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis Published in RUNG: 02.04.2021; Views: 2760; Downloads: 0 This document has many files! More... |
2. Technology applications for health safety decision making under COVID-19 pandemic managementRajan Gupta, Saibal K. Pal, Aayush Khattar, King Baliyan, 2020, published scientific conference contribution Abstract: A lot of new technological applications are emerging to combat the deadly novel coronavirus. This research study gives an overview of different applications that are developed by Government Institutions, Private Firms, and Individual Citizens across the world. The applications are reviewed based on their widespread use, effectiveness, availability to the broader audience, cost to implement it, concerns regarding the privacy and information collected by these apps and systems. The major eight areas of technology applications covered in this study are Contact Tracing, Social Distancing & Mask Detection, Live-feeds based Dashboards, Information Searching, Big Data and Robotics, Web-based Disease Surveillance Tools, Patient-level Information, Doctor-Patient interaction, and Informatory Chatbots. More than 100 apps were collected for this research survey to conclude the
different categories in which technology is being used for decision making. This study will be useful for various health
administrators, professionals, researchers, and academicians. Keywords: COVID-19, coronavirus, technology applications, contact tracing, social distancing, chatbots, data lakes Published in RUNG: 02.04.2021; Views: 3298; Downloads: 78 Link to full text This document has many files! More... |
3. Analysis of COVID-19 tracking tool in india: case study of aarogya setu mobile application : Case Study of Aarogya Setu Mobile ApplicationRajan Gupta, Manan Bedi, Prashi Goyal, Srishti Wadhera, Vaishnavi Verma, 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. Keywords: COVID-19, India, contact-tracing, tracking tool, Bluetooth, GPS, COVID19 reporting tool, Aarogya Setu Published in RUNG: 01.04.2021; Views: 2787; Downloads: 61 Link to full text This document has many files! More... |