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COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal , Other literature type 08 Mar 2021Publisher:MDPI AGJournal:Sustainability, volume 13, page 2,912 (eissn: 2071-1050,

Authors: Raghu Raman; Krishnashree Achuthan; Ricardo Vinuesa; Prema Nedungadi;

doi: 10.3390/su13052912

COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework

- Summary
- Subjects
- Metrics

Abstract

Mobile apps play an important role in COVID-19 tracing and tracking, with different countries taking different approaches. Our study focuses on 17 government owned COVID-19 Contact Tracing Apps (CTAs) and analyze them using a proposed COVIDTAS framework. User satisfaction is not directly related to the COVIDTAS score or the interaction between users and the app developers. To increase adoption of CTAs, government leadership must offer assurance to its citizens that their identify will be concealed and emphasize the benefits of CTAs as it relates to shared public health. While no country has topped the list on all three major factors (COVIDTAS Score, User Reviews, and User Ratings), the CTA from India seems to have above average performance on all three factors.

Related Organizations

Royal Institute of Technology
Sweden
Amrita Vishwa Vidyapeetham University
India
Amrita Vishwa Vidyapeetham University
India

Keywords

Environmental effects of industries and plants, coronavirus, COVID-19, TJ807-830, privacy, TD194-195, contact tracing, Renewable energy sources, Environmental sciences, governance, GE1-350

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	19
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%