A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications

The spread of coronavirus disease (COVID-19) has triggered a series of responses worldwide ranging from traveling restrictions and shelter-in-place orders to lockdowns, contact tracing, social distancing, and other mitigation measures. To assist with contact tracing and ensure the safety of citizens...

Full description

Bibliographic Details
Main Authors: Theodoros Oikonomidis, Konstantinos Fouskas, Maro Vlachopoulou
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/13/11/268
_version_ 1797510210870312960
author Theodoros Oikonomidis
Konstantinos Fouskas
Maro Vlachopoulou
author_facet Theodoros Oikonomidis
Konstantinos Fouskas
Maro Vlachopoulou
author_sort Theodoros Oikonomidis
collection DOAJ
description The spread of coronavirus disease (COVID-19) has triggered a series of responses worldwide ranging from traveling restrictions and shelter-in-place orders to lockdowns, contact tracing, social distancing, and other mitigation measures. To assist with contact tracing and ensure the safety of citizens, a significant number of mobile applications has been developed, utilizing geospatial information and proximity sensing. We perform a thorough research on seven digital databases (Appbrain, e-Health Hub, GDPRhub, “fs0c131y”, News Sites, Appstore, and Google Play), identifying a total of 160 apps regarding COVID-19 related to our research questions. The aim of this research is to identify the main categories of apps and analyze their functions based on a proposed framework of by mapping aspects that affect their functionalities regarding Services, Technology, Societal & Business, and Legal aspects. As the world comes to the new normal, the utilization of these apps might become more essential for more mobile users and developers. The new encryption protocols that are established are also in favor of this argument. Future work can utilize our framework to further examine the development, design, and adoption of such mobile applications.
first_indexed 2024-03-10T05:28:22Z
format Article
id doaj.art-3ba199c4f4d64e32a61770b2f104155b
institution Directory Open Access Journal
issn 1999-5903
language English
last_indexed 2024-03-10T05:28:22Z
publishDate 2021-10-01
publisher MDPI AG
record_format Article
series Future Internet
spelling doaj.art-3ba199c4f4d64e32a61770b2f104155b2023-11-22T23:26:18ZengMDPI AGFuture Internet1999-59032021-10-01131126810.3390/fi13110268A Multidimensional Analysis of Released COVID-19 Location-Based Mobile ApplicationsTheodoros Oikonomidis0Konstantinos Fouskas1Maro Vlachopoulou2ISeB Lab., Department of Applied Informatics, University of Macedonia, Egnatia 156, 546 36 Thessaloniki, GreeceISeB Lab., Department of Applied Informatics, University of Macedonia, Egnatia 156, 546 36 Thessaloniki, GreeceISeB Lab., Department of Applied Informatics, University of Macedonia, Egnatia 156, 546 36 Thessaloniki, GreeceThe spread of coronavirus disease (COVID-19) has triggered a series of responses worldwide ranging from traveling restrictions and shelter-in-place orders to lockdowns, contact tracing, social distancing, and other mitigation measures. To assist with contact tracing and ensure the safety of citizens, a significant number of mobile applications has been developed, utilizing geospatial information and proximity sensing. We perform a thorough research on seven digital databases (Appbrain, e-Health Hub, GDPRhub, “fs0c131y”, News Sites, Appstore, and Google Play), identifying a total of 160 apps regarding COVID-19 related to our research questions. The aim of this research is to identify the main categories of apps and analyze their functions based on a proposed framework of by mapping aspects that affect their functionalities regarding Services, Technology, Societal & Business, and Legal aspects. As the world comes to the new normal, the utilization of these apps might become more essential for more mobile users and developers. The new encryption protocols that are established are also in favor of this argument. Future work can utilize our framework to further examine the development, design, and adoption of such mobile applications.https://www.mdpi.com/1999-5903/13/11/268COVID-19 location-based mobile appslocation-based technologiesdigital contact tracingdata privacycoronavirus disease
spellingShingle Theodoros Oikonomidis
Konstantinos Fouskas
Maro Vlachopoulou
A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications
Future Internet
COVID-19 location-based mobile apps
location-based technologies
digital contact tracing
data privacy
coronavirus disease
title A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications
title_full A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications
title_fullStr A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications
title_full_unstemmed A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications
title_short A Multidimensional Analysis of Released COVID-19 Location-Based Mobile Applications
title_sort multidimensional analysis of released covid 19 location based mobile applications
topic COVID-19 location-based mobile apps
location-based technologies
digital contact tracing
data privacy
coronavirus disease
url https://www.mdpi.com/1999-5903/13/11/268
work_keys_str_mv AT theodorosoikonomidis amultidimensionalanalysisofreleasedcovid19locationbasedmobileapplications
AT konstantinosfouskas amultidimensionalanalysisofreleasedcovid19locationbasedmobileapplications
AT marovlachopoulou amultidimensionalanalysisofreleasedcovid19locationbasedmobileapplications
AT theodorosoikonomidis multidimensionalanalysisofreleasedcovid19locationbasedmobileapplications
AT konstantinosfouskas multidimensionalanalysisofreleasedcovid19locationbasedmobileapplications
AT marovlachopoulou multidimensionalanalysisofreleasedcovid19locationbasedmobileapplications