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A survey of COVID-19 contact-tracing apps
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 k...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379000/ https://www.ncbi.nlm.nih.gov/pubmed/34482197 http://dx.doi.org/10.1016/j.compbiomed.2021.104787 |
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author | Min-Allah, Nasro Alahmed, Bashayer Abdullah Albreek, Elaf Mohammed Alghamdi, Lina Shabab Alawad, Doaa Abdullah Alharbi, Abeer Salem Al-Akkas, Noor Musleh, Dhiaa Alrashed, Saleh |
author_facet | Min-Allah, Nasro Alahmed, Bashayer Abdullah Albreek, Elaf Mohammed Alghamdi, Lina Shabab Alawad, Doaa Abdullah Alharbi, Abeer Salem Al-Akkas, Noor Musleh, Dhiaa Alrashed, Saleh |
author_sort | Min-Allah, Nasro |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8379000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83790002021-08-23 A survey of COVID-19 contact-tracing apps Min-Allah, Nasro Alahmed, Bashayer Abdullah Albreek, Elaf Mohammed Alghamdi, Lina Shabab Alawad, Doaa Abdullah Alharbi, Abeer Salem Al-Akkas, Noor Musleh, Dhiaa Alrashed, Saleh Comput Biol Med Article 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. Elsevier Ltd. 2021-10 2021-08-21 /pmc/articles/PMC8379000/ /pubmed/34482197 http://dx.doi.org/10.1016/j.compbiomed.2021.104787 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Min-Allah, Nasro Alahmed, Bashayer Abdullah Albreek, Elaf Mohammed Alghamdi, Lina Shabab Alawad, Doaa Abdullah Alharbi, Abeer Salem Al-Akkas, Noor Musleh, Dhiaa Alrashed, Saleh A survey of COVID-19 contact-tracing apps |
title | A survey of COVID-19 contact-tracing apps |
title_full | A survey of COVID-19 contact-tracing apps |
title_fullStr | A survey of COVID-19 contact-tracing apps |
title_full_unstemmed | A survey of COVID-19 contact-tracing apps |
title_short | A survey of COVID-19 contact-tracing apps |
title_sort | survey of covid-19 contact-tracing apps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379000/ https://www.ncbi.nlm.nih.gov/pubmed/34482197 http://dx.doi.org/10.1016/j.compbiomed.2021.104787 |
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