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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Aug 13, 2020
Open Peer Review Period: Aug 12, 2020 - Oct 7, 2020
Date Accepted: Jan 20, 2021
Date Submitted to PubMed: Jan 25, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis

El Khodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F

Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis

J Med Internet Res 2021;23(2):e23467

DOI: 10.2196/23467

PMID: 33493125

PMCID: 7879719

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

COVID-19 Mobile Apps for Contact Tracing: A Review on Technology and User Opinions

  • Mahmoud El Khodr; 
  • Omar Mubin; 
  • Zainab Iftikhar; 
  • Maleeha Masood; 
  • Belal Alsinglawi; 
  • Suleman Shahid; 
  • Fady Alnajjar

ABSTRACT

Background:

Contact tracing has been a key part of the worldwide measure in response to the COVID-19 pandemic. Many countries across the globe have released their contact tracing application. This has resulted in the proliferation of several contact tracing applications that used a variety of technologies.

Objective:

This study analyses most of the COVID-19 Contact tracing apps in use today. Beyond investigating the privacy features, design, and implications of these apps, this research examines the underlying technologies used in contact tracing applications. It also attempts to provide some insights into their level of penetration and gauge their public reception.

Methods:

The research sampled 13 applications corresponding to 10 countries based on the underlying technology used. The selected applications were all free to download. The inclusion criteria also ensured that most COVID-19 declared epicentre (countries) were included in the sample, such as Italy. The sampled apps included also countries that relatively did well in controlling the outbreak of COVID-19 such as Singapore. Informational apps or un-official contact tracing apps were excluded from this study except for the South Korean app as this was amongst the first app launching globally. A brute force keyword search technique was used to scrap the reviews of each of the 13 apps under reviews.

Results:

The study identified seven distinct technologies used by or incorporated in COVID-19 tracing applications. In total 13 distinct applications were selected for this study.

Conclusions:

Contact tracing applications come with their own set of challenges as well. Key amongst these challenges is privacy. Of course, this is anticipated as you can’t expect to trace and track peoples’ movement by a government authority without addressing the privacy issues.


 Citation

Please cite as:

El Khodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F

Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis

J Med Internet Res 2021;23(2):e23467

DOI: 10.2196/23467

PMID: 33493125

PMCID: 7879719

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