Skip to main content

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

  • Chapter
  • First Online:
Applications of Artificial Intelligence in COVID-19

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Russell Kabir .

Editor information

Editors and Affiliations

Ethics declarations

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of Interest

None.

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Jalabneh, R. et al. (2021). Use of Mobile Phone Apps for Contact Tracing to Control the COVID-19 Pandemic: A Literature Review. In: Nandan Mohanty, S., Saxena, S.K., Satpathy, S., Chatterjee, J.M. (eds) Applications of Artificial Intelligence in COVID-19 . Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore. https://doi.org/10.1007/978-981-15-7317-0_19

Download citation

Publish with us

Policies and ethics