Predicting public take-up of digital contact tracing during the COVID-19 crisis: Results of a national survey in Singapore.
Identifieur interne : 000171 ( Main/Corpus ); précédent : 000170; suivant : 000172Predicting public take-up of digital contact tracing during the COVID-19 crisis: Results of a national survey in Singapore.
Auteurs : Young Ern Saw ; Edina Yq Tan ; Jessica S. Liu ; Jean LiuSource :
- Journal of medical Internet research [ 1438-8871 ] ; 2021.
Abstract
BACKGROUND
In the global outbreak of coronavirus disease 2019 (COVID-19), new digital solutions have been developed for infection control. In particular, contact tracing mobile applications provide a means for governments to manage both health and economic concerns. However, public reception of these applications is paramount to success, and global take-up rates have been low.
OBJECTIVE
In this study, we sought to identify characteristics of an individual or the situation that may be associated with voluntary downloads of a contact tracing mobile application in Singapore.
METHODS
A sample of 505 adults from the general community completed an online survey. As the primary outcome measure, participants indicated whether they had downloaded a contact tracing application introduced at the national level ("TraceTogether"). As predictor variables, we assessed: (1) participant demographics; (2) behavioral changes on account of the pandemic; and (3) pandemic severity (the number of cases and lockdown status).
RESULTS
Within our dataset, the strongest predictor of digital contact tracing take-up was the extent to which individuals had already adjusted their lifestyles because of the pandemic (Z = 13.56, P < .001). Network analyses revealed that take-up was most related to: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics was not significantly associated with application downloads.
CONCLUSIONS
Efforts to introduce contact tracing applications could capitalize on pandemic-related behavioral adjustments that individuals have made. Given that critical mass is needed for contact tracing to be effective, we urge further research to understand how citizens respond to contact tracing applications.
CLINICALTRIAL
ClinicalTrials.gov NCT04468581.
DOI: 10.2196/24730
PubMed: 33465034
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pubmed:33465034Le document en format XML
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<author><name sortKey="Saw, Young Ern" sort="Saw, Young Ern" uniqKey="Saw Y" first="Young Ern" last="Saw">Young Ern Saw</name>
<affiliation><nlm:affiliation>Division of Social Sciences, Yale-NUS College, 28 College Avenue West #01-501, Singapore, SG.</nlm:affiliation>
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<author><name sortKey="Tan, Edina Yq" sort="Tan, Edina Yq" uniqKey="Tan E" first="Edina Yq" last="Tan">Edina Yq Tan</name>
<affiliation><nlm:affiliation>Division of Social Sciences, Yale-NUS College, 28 College Avenue West #01-501, Singapore, SG.</nlm:affiliation>
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<author><name sortKey="Liu, Jessica S" sort="Liu, Jessica S" uniqKey="Liu J" first="Jessica S" last="Liu">Jessica S. Liu</name>
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<author><name sortKey="Liu, Jean" sort="Liu, Jean" uniqKey="Liu J" first="Jean" last="Liu">Jean Liu</name>
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<affiliation><nlm:affiliation>Neuroscience and Behavioral Disorders Programme, Duke-NUS Medical School, Singapore, SG.</nlm:affiliation>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>In the global outbreak of coronavirus disease 2019 (COVID-19), new digital solutions have been developed for infection control. In particular, contact tracing mobile applications provide a means for governments to manage both health and economic concerns. However, public reception of these applications is paramount to success, and global take-up rates have been low.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>In this study, we sought to identify characteristics of an individual or the situation that may be associated with voluntary downloads of a contact tracing mobile application in Singapore.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>A sample of 505 adults from the general community completed an online survey. As the primary outcome measure, participants indicated whether they had downloaded a contact tracing application introduced at the national level ("TraceTogether"). As predictor variables, we assessed: (1) participant demographics; (2) behavioral changes on account of the pandemic; and (3) pandemic severity (the number of cases and lockdown status).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Within our dataset, the strongest predictor of digital contact tracing take-up was the extent to which individuals had already adjusted their lifestyles because of the pandemic (Z = 13.56, P < .001). Network analyses revealed that take-up was most related to: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics was not significantly associated with application downloads.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Efforts to introduce contact tracing applications could capitalize on pandemic-related behavioral adjustments that individuals have made. Given that critical mass is needed for contact tracing to be effective, we urge further research to understand how citizens respond to contact tracing applications.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CLINICALTRIAL</b>
</p>
<p>ClinicalTrials.gov NCT04468581.</p>
</div>
</front>
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