Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Public attitudes towards COVID-19 contact tracing apps: A UK-based focus group study
Goto
Sponge
NotDistinct
Permalink
An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Public attitudes towards COVID-19 contact tracing apps: A UK-based focus group study
Creator
Dienes, Kimberly
Armitage,
Uk, Christopher
source
MedRxiv
abstract
OBJECTIVE: To explore public attitudes to the proposed COVID-19 contact tracing app in the United Kingdom. DESIGN: Qualitative study consisting of five focus groups carried out between 1st-4th May 2020 (39-42 days after the official start of the UK lockdown). SETTING: Online video-conferencing PARTICIPANTS: 22 participants, all UK residents aged 18 years and older, representing a range of different genders, ages, ethnicities and locations. RESULTS: Participants were split roughly equally in number across three groups: will use the app; will not be using the app; and undecided as to whether they will use the app. Analysis revealed five main themes: (1) Lack of information and misconceptions surrounding COVID-19 contact tracing apps; (2) concerns over privacy; (3) concerns over stigma; (4) concerns over uptake; and (5) contact tracing as the 'greater good'. These themes were found across the sample and the three groups. However, concerns over privacy, uptake and stigma were particularly significant amongst those state they will not be using the app and the view that the app is for the 'greater good' was particularly significant amongst those who stated they will be using the app. One of the most common misconceptions about the app was that it could allow users to specifically identify and map COVID-19 cases amongst their contacts and in their vicinity. CONCLUSIONS: We offer four recommendations: (1) To offset the fact that many people may not be accessing, or might be avoiding, news coverage on COVID-19, authorities must communicate to the public via a range of methods including but not limited to: social media ads, postal information, text messaging and other emergency alert systems. (2) Communications should emphasise that the app cannot enable the user to identify which of their contacts has reported COVID-19 symptoms or tested positive. (3) Communication should emphasise collective responsibility ('the greater good') to promote social norms around use of the app (4) Communication should provide a slogan that maximises clarity of message, for example: 'Download the app, protect the NHS, save lives'.
has issue date
2020-05-18
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.14.20102269
has license
medrxiv
sha1sum (hex)
c86d272edb1804505603fcce7312afab3759bead
schema:url
https://doi.org/10.1101/2020.05.14.20102269
resource representing a document's title
Public attitudes towards COVID-19 contact tracing apps: A UK-based focus group study
resource representing a document's body
covid:c86d272edb1804505603fcce7312afab3759bead#body_text
is
schema:about
of
covid:arg/c86d272edb1804505603fcce7312afab3759bead
named entity 'attitudes'
named entity 'United Kingdom'
named entity 'public attitudes'
named entity 'UK government'
»more»
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 4
Go
Faceted Search & Find service v1.13.91 as of Mar 24 2020
Alternative Linked Data Documents:
Sponger
|
ODE
Content Formats:
RDF
ODATA
Microdata
About
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software