The Impact of Individuals’ Social Environments on Contact Tracing App Use: Survey Study

The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times. This study aims to investigate the influence of (non)users' social environments on the usage of the CWA during 2 periods with relat...

Full description

Saved in:
Bibliographic Details
Published inJMIR human factors Vol. 10; p. e45825
Main Authors Sadeghi, Atiyeh, Pape, Sebastian, Harborth, David
Format Journal Article
LanguageEnglish
Published Canada JMIR Publications 31.05.2023
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times. This study aims to investigate the influence of (non)users' social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2. We conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups' opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates). Participants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups' opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=-0.098, P=.04). Opinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants' decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.
AbstractList The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times.BACKGROUNDThe German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times.This study aims to investigate the influence of (non)users' social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2.OBJECTIVEThis study aims to investigate the influence of (non)users' social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2.We conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups' opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates).METHODSWe conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups' opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates).Participants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups' opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=-0.098, P=.04).RESULTSParticipants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups' opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=-0.098, P=.04).Opinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants' decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.CONCLUSIONSOpinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants' decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.
BackgroundThe German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times. ObjectiveThis study aims to investigate the influence of (non)users’ social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2. MethodsWe conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups’ opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates). ResultsParticipants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups’ opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=–0.098, P=.04). ConclusionsOpinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants’ decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.
The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times. This study aims to investigate the influence of (non)users' social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2. We conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups' opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates). Participants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups' opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=-0.098, P=.04). Opinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants' decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.
Background:The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million times.Objective:This study aims to investigate the influence of (non)users’ social environments on the usage of the CWA during 2 periods with relatively lower death rates and higher death rates caused by SARS-CoV-2.Methods:We conducted a longitudinal survey study in Germany with 833 participants in 2 waves to investigate how participants perceive their peer groups’ opinion about making use of the German CWA to mitigate the risk of SARS-CoV-2. In addition, we asked whether this perceived opinion, in turn, influences the participants with respect to their own decision to use the CWA. We analyzed these questions with generalized estimating equations. Further, 2 related sample tests were performed to test for differences between users of the CWA and nonusers and between the 2 points in time (wave 1 with the highest death rates observable during the pandemic in Germany versus wave 2 with significantly lower death rates).Results:Participants perceived that peer groups have a positive opinion toward using the CWA, with more positive opinions by the media, family doctors, politicians, and virologists/Robert Koch Institute and a lower, only slightly negative opinion originating from social media. Users of the CWA perceived their peer groups’ opinions about using the app as more positive than nonusers do. Furthermore, the perceived positive opinion of the media (P=.001) and politicians (P<.001) was significantly lower in wave 2 compared with that in wave 1. The perceived opinion of friends and family (P<.001) as well as their perceived influence (P=.02) among nonusers toward using the CWA was significantly higher in the latter period compared with that in wave 1. The influence of virologists (in Germany primarily communicated via the Robert Koch Institute) had the highest positive effect on using the CWA (B=0.363, P<.001). We only found 1 decreasing effect of the influence of politicians (B=–0.098, P=.04).Conclusions:Opinions of peer groups play an important role when it comes to the adoption of the CWA. Our results show that the influence of virologists/Robert Koch Institute and family/friends exerts the strongest effect on participants’ decisions to use the CWA while politicians had a slightly negative influence. Our results also indicate that it is crucial to accompany the introduction of such a contact tracing app with explanations and a media campaign to support its adoption that is backed up by political decision makers and subject matter experts.
Author Pape, Sebastian
Sadeghi, Atiyeh
Harborth, David
AuthorAffiliation 1 Chair of Mobile Business & Multilateral Security Faculty of Economics and Business Goethe University Frankfurt Frankfurt Germany
AuthorAffiliation_xml – name: 1 Chair of Mobile Business & Multilateral Security Faculty of Economics and Business Goethe University Frankfurt Frankfurt Germany
Author_xml – sequence: 1
  givenname: Atiyeh
  orcidid: 0000-0002-2012-5252
  surname: Sadeghi
  fullname: Sadeghi, Atiyeh
– sequence: 2
  givenname: Sebastian
  orcidid: 0000-0002-0893-7856
  surname: Pape
  fullname: Pape, Sebastian
– sequence: 3
  givenname: David
  orcidid: 0000-0001-9554-7567
  surname: Harborth
  fullname: Harborth, David
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37256683$$D View this record in MEDLINE/PubMed
BookMark eNpdkstqGzEUhkVJaS71KxRBKWTjVvcZdVOCSVpDoAs7i66E5kjjyMxIU82Mwbu-Rl-vT9JxnIakKwmdTx__kc45OokpeoRmlHxkVKtPQpZMvkJnjGk210LLk2f7UzTr-y0hhCohhRJv0CkvmFSq5Gfox_re42XbWRhwqvEyurALbrRN_-fXb7xKEGyDr-Mu5BRbH4cep4gXKQ6HC-tsIcQNvuo6fNf7z3g15p3f49Uwuv1b9LqeNH72uF6gu5vr9eLb_Pb71-Xi6nYOgrFhbhWtC68kUcoJV7oKaim1hVJZzpQHbpWuiHZaAOMKCHjhZOWIBCvh0MMFWh69Ltmt6XJobd6bZIN5OEh5Y2weAjTeaBDgXVE6sFrUBCzwWjtuK6WLUmg6ub4cXd1Ytd7B1HC2zQvpy0oM92aTdoYSxoVgZDJcPhpy-jn6fjBt6ME3jY0-jb1hJaNckILyCX3_H7pNY47TWxmmaaGI1PwQ6d3zSE9Z_n3hBHw4ApBT32dfPyGUmMN0mIfp4H8B8GarZQ
Cites_doi 10.3390/ijerph18031332
10.2196/19458
10.2196/mhealth.3335
10.1016/j.ijinfomgt.2020.102178
10.1007/s10729-019-09490-4
10.2147/jmdh.s353594
10.1007/978-3-030-78120-0_17
10.2196/25893
10.2196/13817
10.1016/j.chb.2021.106806
10.1177/0049124120914924
10.2139/ssrn.3609516
10.1002/ejsp.621
10.1080/25741292.2020.1850404
10.1016/j.puhe.2020.08.026
10.1146/annurev.ps.36.020185.001251
10.1089/cyber.2020.0483
10.1080/0960085x.2020.1803155
10.1016/j.cose.2015.07.002
10.1007/978-3-030-92075-3_23
10.1016/j.ijmedinf.2013.12.002
10.17011/ht/urn.201811224834
10.1016/j.ijinfomgt.2020.102181
10.2139/ssrn.3693783
10.1007/s10597-020-00689-2
10.1080/0960085x.2020.1784046
10.2196/25525
10.1007/s10729-019-09468-2
10.1017/xps.2020.30
10.1371/journal.pone.0245740
10.1097/cin.0000000000000442
10.2196/39570
10.1177/0049124119882480
10.1016/j.jsis.2008.01.001
10.1093/jssam/smy002
10.2196/23362
10.1111/jnu.12298
10.1093/ijpor/1.1.3
10.1108/imds-12-2020-0697
10.1186/s13584-020-00429-7
10.2307/30036540
10.1016/j.hlpt.2022.100651
10.2196/20572
10.1007/978-3-031-06975-8_1
10.2196/21613
10.1016/j.cosrev.2020.100307
10.1093/eurpub/ckaa239
10.1007/s11628-020-00424-7
10.1093/jamia/ocaa240
10.2196/28416
10.1080/15213269.2016.1211539
10.2196/19359
10.48550/arXiv.cs/0109068
10.2196/28146
10.1037/0021-9010.89.6.1008
10.1080/14754835.2020.1816163
10.1136/medethics-2020-106314
10.1080/10463280440000008
10.1016/0749-5978(91)90020-t
10.3390/healthcare11040583
10.2196/26399
10.2196/19857
10.1097/fch.0000000000000177
10.1186/s12911-016-0359-3
10.1109/tem.2020.3019033
10.1007/s11845-020-02389-y
ContentType Journal Article
Copyright Atiyeh Sadeghi, Sebastian Pape, David Harborth. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.05.2023.
2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Atiyeh Sadeghi, Sebastian Pape, David Harborth. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.05.2023. 2023
Copyright_xml – notice: Atiyeh Sadeghi, Sebastian Pape, David Harborth. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.05.2023.
– notice: 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Atiyeh Sadeghi, Sebastian Pape, David Harborth. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.05.2023. 2023
DBID AAYXX
CITATION
NPM
3V.
7X7
7XB
88G
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
K9.
M0S
M2M
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PSYQQ
Q9U
7X8
5PM
DOA
DOI 10.2196/45825
DatabaseName CrossRef
PubMed
ProQuest Central (Corporate)
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Psychology Database (Alumni)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
ProQuest Health & Medical Complete (Alumni)
Health & Medical Collection (Alumni Edition)
Psychology Database
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Publicly Available Content
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest One Psychology
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Open Access Full Text
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
ProQuest One Psychology
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
ProQuest Central (New)
ProQuest Central Basic
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Psychology Journals (Alumni)
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Psychology Journals
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

PubMed
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Open Access Full Text
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Public Health
EISSN 2292-9495
ExternalDocumentID oai_doaj_org_article_9c4ced78dca94f0cac3f9d3ab6978491
PMC10234420
37256683
10_2196_45825
Genre Journal Article
GeographicLocations Germany
GeographicLocations_xml – name: Germany
GroupedDBID 53G
5VS
7X7
8FI
8FJ
AAFWJ
AAYXX
ABUWG
ADBBV
AFKRA
AFPKN
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
ARCSS
AZQEC
BAWUL
BCNDV
BENPR
CCPQU
CITATION
DIK
DWQXO
FYUFA
GNUQQ
GROUPED_DOAJ
HMCUK
HYE
KQ8
M2M
M48
M~E
OK1
PGMZT
PHGZM
PHGZT
PIMPY
PSYQQ
RPM
UKHRP
NPM
3V.
7XB
8FK
K9.
PKEHL
PQEST
PQQKQ
PQUKI
Q9U
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c422t-a61f7e65066d4d8dbcf559ac86a326ec3a69b09d94c236c0ce4d5bd05ca5c6683
IEDL.DBID M48
ISSN 2292-9495
IngestDate Wed Aug 27 00:45:27 EDT 2025
Thu Aug 21 18:36:59 EDT 2025
Fri Jul 11 16:53:01 EDT 2025
Mon Jun 30 14:39:02 EDT 2025
Thu Apr 03 07:08:35 EDT 2025
Tue Jul 01 02:17:50 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords COVID-19
corona warning app
social influence
Corona-Warn-App
contact tracing app
usage
Language English
License Atiyeh Sadeghi, Sebastian Pape, David Harborth. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.05.2023.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c422t-a61f7e65066d4d8dbcf559ac86a326ec3a69b09d94c236c0ce4d5bd05ca5c6683
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0001-9554-7567
0000-0002-2012-5252
0000-0002-0893-7856
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.2196/45825
PMID 37256683
PQID 2917605931
PQPubID 4997115
ParticipantIDs doaj_primary_oai_doaj_org_article_9c4ced78dca94f0cac3f9d3ab6978491
pubmedcentral_primary_oai_pubmedcentral_nih_gov_10234420
proquest_miscellaneous_2821340713
proquest_journals_2917605931
pubmed_primary_37256683
crossref_primary_10_2196_45825
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20230531
PublicationDateYYYYMMDD 2023-05-31
PublicationDate_xml – month: 5
  year: 2023
  text: 20230531
  day: 31
PublicationDecade 2020
PublicationPlace Canada
PublicationPlace_xml – name: Canada
– name: Toronto
– name: Toronto, Canada
PublicationTitle JMIR human factors
PublicationTitleAlternate JMIR Hum Factors
PublicationYear 2023
Publisher JMIR Publications
Publisher_xml – name: JMIR Publications
References ref13
ref57
ref12
ref56
ref15
ref59
ref14
ref58
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref44
ref43
ref49
ref8
ref7
(ref1) 2020
ref9
ref4
ref3
ref6
ref5
ref40
ref35
ref34
ref37
ref36
ref31
ref30
ref74
ref33
ref32
ref2
ref39
ref38
Abrams, D (ref62) 2006
ref71
ref70
ref73
ref72
ref24
ref68
ref23
ref67
ref26
ref25
ref69
ref20
ref64
ref63
ref22
ref66
ref21
ref65
ref28
ref27
ref29
ref60
ref61
References_xml – ident: ref17
  doi: 10.3390/ijerph18031332
– ident: ref72
  doi: 10.2196/19458
– ident: ref25
  doi: 10.2196/mhealth.3335
– ident: ref34
  doi: 10.1016/j.ijinfomgt.2020.102178
– start-page: 1
  year: 2020
  ident: ref1
  publication-title: GitHub
– ident: ref50
  doi: 10.1007/s10729-019-09490-4
– ident: ref73
  doi: 10.2147/jmdh.s353594
– ident: ref4
  doi: 10.1007/978-3-030-78120-0_17
– ident: ref14
  doi: 10.2196/25893
– ident: ref24
  doi: 10.2196/13817
– ident: ref15
  doi: 10.1016/j.chb.2021.106806
– ident: ref28
  doi: 10.1177/0049124120914924
– ident: ref9
  doi: 10.2139/ssrn.3609516
– ident: ref64
  doi: 10.1002/ejsp.621
– ident: ref45
  doi: 10.1080/25741292.2020.1850404
– ident: ref53
  doi: 10.1016/j.puhe.2020.08.026
– ident: ref61
  doi: 10.1146/annurev.ps.36.020185.001251
– ident: ref57
  doi: 10.1089/cyber.2020.0483
– ident: ref36
  doi: 10.1080/0960085x.2020.1803155
– ident: ref47
  doi: 10.1016/j.cose.2015.07.002
– ident: ref2
  doi: 10.1007/978-3-030-92075-3_23
– ident: ref69
– ident: ref32
  doi: 10.1016/j.ijmedinf.2013.12.002
– ident: ref31
  doi: 10.17011/ht/urn.201811224834
– ident: ref42
  doi: 10.1016/j.ijinfomgt.2020.102181
– ident: ref6
– ident: ref13
  doi: 10.2139/ssrn.3693783
– ident: ref44
– ident: ref39
  doi: 10.1007/s10597-020-00689-2
– ident: ref51
  doi: 10.1080/0960085x.2020.1784046
– ident: ref37
  doi: 10.2196/25525
– ident: ref59
  doi: 10.1007/s10729-019-09468-2
– ident: ref18
  doi: 10.1017/xps.2020.30
– ident: ref19
  doi: 10.1371/journal.pone.0245740
– ident: ref30
  doi: 10.1097/cin.0000000000000442
– ident: ref74
  doi: 10.2196/39570
– ident: ref43
  doi: 10.1177/0049124119882480
– ident: ref66
  doi: 10.1016/j.jsis.2008.01.001
– ident: ref27
  doi: 10.1093/jssam/smy002
– ident: ref23
  doi: 10.2196/23362
– ident: ref26
  doi: 10.1111/jnu.12298
– ident: ref8
  doi: 10.1093/ijpor/1.1.3
– ident: ref12
  doi: 10.1108/imds-12-2020-0697
– ident: ref58
  doi: 10.1186/s13584-020-00429-7
– ident: ref5
  doi: 10.2307/30036540
– ident: ref68
– ident: ref70
  doi: 10.1016/j.hlpt.2022.100651
– ident: ref35
  doi: 10.2196/20572
– ident: ref3
  doi: 10.1007/978-3-031-06975-8_1
– ident: ref22
– ident: ref55
  doi: 10.2196/21613
– ident: ref40
  doi: 10.1016/j.cosrev.2020.100307
– ident: ref21
  doi: 10.1093/eurpub/ckaa239
– ident: ref54
  doi: 10.1007/s11628-020-00424-7
– ident: ref20
  doi: 10.1093/jamia/ocaa240
– start-page: 147
  year: 2006
  ident: ref62
  publication-title: Contemporary Sociology
– ident: ref46
  doi: 10.2196/28416
– ident: ref7
  doi: 10.1080/15213269.2016.1211539
– ident: ref38
  doi: 10.2196/19359
– ident: ref29
  doi: 10.48550/arXiv.cs/0109068
– ident: ref67
– ident: ref52
  doi: 10.2196/28146
– ident: ref60
  doi: 10.1037/0021-9010.89.6.1008
– ident: ref41
  doi: 10.1080/14754835.2020.1816163
– ident: ref48
  doi: 10.1136/medethics-2020-106314
– ident: ref63
  doi: 10.1080/10463280440000008
– ident: ref65
  doi: 10.1016/0749-5978(91)90020-t
– ident: ref71
  doi: 10.3390/healthcare11040583
– ident: ref11
  doi: 10.2196/26399
– ident: ref10
  doi: 10.2196/19857
– ident: ref49
  doi: 10.1097/fch.0000000000000177
– ident: ref33
  doi: 10.1186/s12911-016-0359-3
– ident: ref56
  doi: 10.1109/tem.2020.3019033
– ident: ref16
  doi: 10.1007/s11845-020-02389-y
SSID ssj0001645464
Score 2.221551
Snippet The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45 million...
Background:The German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45...
BackgroundThe German Corona-Warn-App (CWA) is a contact tracing app to mitigate the spread of SARS-CoV-2. As of today, it has been downloaded approximately 45...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
StartPage e45825
SubjectTerms Contact tracing
Infectious diseases
Influence
Knowledge
Original Paper
Pandemics
Privacy
Severe acute respiratory syndrome coronavirus 2
Smartphones
Social interaction
Technology Acceptance Model
Telemedicine
SummonAdditionalLinks – databaseName: DOAJ Open Access Full Text
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEB7Egwgivq0vIngtts1jG28qinrwogt6KmmSopeu7EPw5t_w7_lLnEnWZVcEL147DSQzCfNNMvMNwFGDoLvO8SAh-lYpImKe1lQILBopCZ9i3ByyfG_VVVfcPMiHqVZflBMW6YGj4o61Fda7Tums0aLJrLG80Y6bWmH8I0LdeoE-byqYCrcrRFSlxAIsUa4z7rJjeh-SM84ncPT_Bix_5kdOOZzLFVgeI0V2Gme4CnO-XYOleM3GYvXQOjyimdl1qHRkvYZdT8qrBp_vHyzW3rKLqWI21msZMVLRAPRTFj0XQyTKugN_wu5G_Vf_xii38G0DupcX9-dX6bhbQmpFUQxTo_Km4xFwKeWEK11tUd3a2FIZhGjecqN0nWmnhS24spn1wsnaZdIaaZUq-SbMt73WbwMrpJFFRxuTay-UFSarBc8a5WTuS67yBA6-1Vi9RFKMCoMJ0nMV9JzAGSl3IiQO6_ABLVuNLVv9ZdkE9r5NU40P1qAqMLxU1IYQxYcTMR4Jeucwre-N8J-SaOoo_E5gK1pyMhPeQYyHi02gnLHxzFRnJe3zU6DdJpILIYps5z8WtwuL1Lg-5iHswfywP_L7CG-G9UHYyV-pSfqm
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LT9xADLYolVAlhGgLbcpDU6nXiCTzSKYXBAgEHHppV9qeooln0nJJ6D4qcevf6N_rL6mdZBcWIa6ZRJnY48xnj_0Z4FNNoLtKyZAIfZuYELGMKy4EVrXWjE_Jb-6yfL-Yy5G6HuvxEHCbDmmVi39i96P2LXKM_Cgjv8Jw_7n0-PZXzF2j-HR1aKHxAl4ydRmndOXj_D7GwnRVRm3AJmc801o74lMivbIFdUz9T8HLx1mSD7adi23YGvCiOOkV_BrWQvMGNvtgm-hriN7Cd1K2uOrqHUVbi6tlkdX035-_oq_AFecPStpE2wjmpeIHaLdC2r8E4VExmobP4ut88jvcCc4wvNuB0cX5t7PLeOiZEKPKslnsTFrngWCXMV75wldIQrcOC-MIqAWUztgqsd4qzKTBBIPyuvKJRqfRmELuwnrTNuE9iEw7neXWudQGZVC5pFIyqY3XaSikSSM4XIixvO2pMUpyKVjOZSfnCE5ZuMtBZrLuLrSTH-VgGKVFhcHnhUdnVZ2gQ1lbL11lyL9Vlt6yv1BNOZjXtLxfDBF8XA6TYfBph2tCO6d7CiarYyc8gne9JpczkTkhPfrYCIoVHa9MdXWkufnZkW8z1YVSWfLh-XntwStuTN_nGezD-mwyDwcEX2bVYbdG_wPEA_DN
  priority: 102
  providerName: ProQuest
Title The Impact of Individuals’ Social Environments on Contact Tracing App Use: Survey Study
URI https://www.ncbi.nlm.nih.gov/pubmed/37256683
https://www.proquest.com/docview/2917605931
https://www.proquest.com/docview/2821340713
https://pubmed.ncbi.nlm.nih.gov/PMC10234420
https://doaj.org/article/9c4ced78dca94f0cac3f9d3ab6978491
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ba9RAFD7YFkqhFO9urWEEX6NJ5pKMIGJlSytYRF2oT2EyM6mCJLoXcd_8G_69_pKeM8kuG-mTrzkzZDgXzndmzgXgWY2gu0rRkBB9qxgRMY8rKgQWtZSETzFuDlm-5-p0It5dyI1swp6BsxtDO5onNZl-f_775_I1GvwrSmNGBXpBTz9yC3bQGeVkm-97hB-uWahjlRK7sD9YvQe7PEdvrwo-cEihb_9NYPPfnMkNJ3RyGw569MjedOK-A7d8cxf2u6s31lUU3YMvKHp2FqofWVuzs3XJ1ezqz1_W1eOy8UaBG2sbRl2qaAP6LovejCE6ZZOZf8k-Laa__JJRvuHyPkxOxp_fnsb9BIXYiiybx0alde4RhCnlhCtcZVEE2thCGYRt3nKjdJVop4XNuLKJ9cLJyiXSGmmJOQ9gu2kb_whYJo3Mcm1Mqr1QVpikEjyplZOpL7hKRxCt2Fj-6BpllBhgEMvLwPIRHBNz10Tqax0-tNPLsjeTUlthvcsLZ40WdWKN5bV23FQKo12h8S9HK9GUK10pMww5FY0mRPLTNRnNhN4-TOPbBa4pqHUdheQjeNhJcn2SlSaMoBjIeHDUIaX59jW04qbGF0JkyeH_b30MezTCvstIOILt-XThnyDQmVcRbOUXeQQ7x-PzDx-jcF0QBfW-BuR1Aig
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Zb9QwEB6VrQRIFeImUIqR4DFqEh8bIyFEYatdWlYIulL7FBzbAV6Ssgdo3_gb_Al-FL-EmRzbLkK89TWOE2eOzDf2HABPCgTdeYyKhOhbhYiIeZhTIrAopCR8in5zHeU7VsOJeHMsjzfgV5cLQ2GV3T-x_lG7ytIe-W6CfoWi_nPxi9OvIXWNotPVroVGIxYHfvkdXbbZ89Fr5O_TJNkfHL0ahm1XgdCKJJmHRsVF3yMwUcoJl7rc4rK0sakyCGW85UbpPNJOC5twZSPrhZO5i6Q10iqVcnzuJdgUHF2ZHmzuDcbv3p_t6lCBLCUuwxbFWKN079K5lFwzenVvgH8B2r_jMs8Zuv3rcK1FqOxlI1I3YMOXN2Gr2d5jTdbSLThB8WKjOsOSVQUbrdK6Zr9__GRNzi8bnEuiY1XJqBIWTUD7aNFiMkTAbDLzz9iHxfSbXzKKaVzehsmF0PMO9Mqq9PeAJdLIpK-NibUXygoT5YJHhXIy9ilXcQA7HRmz06YYR4ZODNE5q-kcwB4RdzVItbPrC9X0U9aqYqatsN71U2eNFkVkjeWFdtzkCj1qofEt2x1rslahZ9mZ-AXweDWMqkjnK6b01QLvSak8Hrn9AdxtOLlaCe8jtsSPDSBd4_HaUtdHyi-f63LfVFxDiCS6__91PYIrw6O3h9nhaHzwAK4mOKuJctiG3ny68A8RPM3znVZiGXy8aCX5A5_AMAk
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VIlVIFeJNoBQjwTHaxK_ESAgB7apLUYUEKy2n4NgOcEnKPkB742_wV_g5_BJmks22ixC3XuM4mYxnMt_Y8wB4XCHoLlNUJETfOkZELOKSEoFlpRThU_Sb2yjfE300lq8narIFv_pcGAqr7P-J7Y_aN472yAcc_QpN_efSQbUKi3h7MHx--jWmDlJ00tq30-hE5Dgsv6P7Nns2OsC1fsL58PD9q6N41WEgdpLzeWx1WmUBQYrWXvrclw5JNNbl2iKsCU5YbcrEeCMdF9olLkivSp8oZ5XTOhf43EtwORMqJR3LJtnZ_g6VytJyB3Yp2hrlfEAnVGrD_LVdAv4Fbf-O0Dxn8obX4OoKq7IXnXBdh61Q34DdbqOPdflLN-EDChobtbmWrKnYaJ3gNfv94yfrsn_Z4bl0OtbUjGpi0QS0lA5tJ0MszMaz8JS9W0y_hSWj6MblLRhfCDdvw3bd1OEuMK6s4pmxNjVBaidtUkqRVNqrNORCpxHs92wsTruyHAW6M8TnouVzBC-JuetBqqLdXmimn4qVUhbGSRd8lntnjawSZ52ojBe21OhbS4Nv2euXplip9qw4E8QIHq2HUSnppMXWoVngPTkVyqMNgAjudCu5pkRkiDLxYyPIN9Z4g9TNkfrL57bwN5XZkJIn9_5P10PYQdUo3oxOju_DFY6TunCHPdieTxfhAaKoebnfiiuDjxetH38APeUy2Q
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+Impact+of+Individuals%E2%80%99+Social+Environments+on+Contact+Tracing+App+Use%3A+Survey+Study&rft.jtitle=JMIR+human+factors&rft.au=Sadeghi%2C+Atiyeh&rft.au=Pape%2C+Sebastian&rft.au=Harborth%2C+David&rft.date=2023-05-31&rft.pub=JMIR+Publications&rft.eissn=2292-9495&rft.volume=10&rft_id=info:doi/10.2196%2F45825&rft_id=info%3Apmid%2F37256683&rft.externalDocID=PMC10234420
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2292-9495&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2292-9495&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2292-9495&client=summon