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A survey of COVID-19 contact-tracing apps

  • Nasro Min-Allah*
  • , Bashayer Abdullah Alahmed
  • , Elaf Mohammed Albreek
  • , Lina Shabab Alghamdi
  • , Doaa Abdullah Alawad
  • , Abeer Salem Alharbi
  • , Noor Al-Akkas
  • , Dhiaa Musleh
  • , Saleh Alrashed
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Recently, the sudden outbreak of the COVID-19 virus caused a major health crisis by affecting masses around the world. The virus, which is known to be highly contagious, has forced the research community and governments to fight the disease and take prompt actions by applying various strategies to keep the numbers under control. These strategies range from imposing strict social distancing measures, isolating infected cases, and enforcing either a partial or a full lockdown, to mathematical modeling and contact-tracing applications. In this work, we survey the current contact-tracing apps and organize them based on underlying technologies such as Bluetooth, Wi-Fi, GPS, geofencing, and Quick Response (QR) codes. We compare the main features of 22 existing applications and highlight each of the pros and cons associated with these different technologies.

Original languageEnglish
Article number104787
JournalComputers in Biology and Medicine
Volume137
DOIs
StatePublished - Oct 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Application
  • Contact tracing
  • COVID-19
  • Disease spread

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