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Use of Mobile Phone Apps for Contact Tracing to Control the COVID-19 Pandemic: A Literature Review

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posted on 2023-09-01, 14:53 authored by Rawan Jalabneh, Haniya Z. Syed, Sunitha Pillai, Ehsanul H. Apu, Molla R. Hussein, Russell Kabir, S. M. Yasir Arafat, Md. Anwarul A. Majumder, Shailendra K. Saxena
Background: Contact tracing is a widely adopted surveillance system that is used to identify, evaluate, and handle people who have been exposed to novel infectious diseases. The mobile phone apps using a digital technological system, called “proximity tracking,” is used as a surveillance system to control the COVID-19 pandemic. Objective: This aim of this review is to examine the use of mobile phone apps for contact tracing to control the COVID-19 pandemic worldwide. Method: A search of different electronic databases, such as PubMed, PubMed Central, Google Scholar, and Google, was carried out using search items “mobile app,” “tracing,” and “COVID-19.” The search was conducted between 18 and 31 May 2020. Findings: The search revealed that a total of 15 countries in the world developed and actively using 17 mobile apps for contact tracing to control the COVID-19 pandemic during the selected time frame. China and Malaysia were only using two apps. Out of 17 apps, three were protected by the country’s data protection laws. The results indicate that the mobile apps were used to monitor self-isolated individuals, identify individuals not wearing masks, whether they had close contact with an infected person, provide exact time and place of the encounter, and possible risk of infection. Conclusion: Contact tracing is found to be an essential public health approach to fight the spread of COVID-19 pandemic and other novel infectious diseases. However, caution is warranted to generalize the usability of apps, especially in the LMICs, and to address the concerns regarding data anonymization, data privacy and usage, and data rights.

History

Refereed

  • Yes

Page range

389-404

Number of pages

595

Series

Medical Virology: From Pathogenesis to Disease Control

ISSN

2662-981X

Publisher

Springer

Place of publication

Singapore

Title of book

Applications of Artificial Intelligence in COVID-19

ISBN

978-981-15-7316-3

Editors

Sachi N. Mohanty, Shailendra K. Saxena, Suneeta Satpathy, Jyotir M. Chatterjee

File version

  • Accepted version

Language

  • eng

Legacy posted date

2022-06-13

Legacy creation date

2022-06-14

Legacy Faculty/School/Department

Faculty of Health, Education, Medicine & Social Care

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