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High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis

Taiwan has been a world leader in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic. Recently, the Taiwan Government launched its COVID-19 tracing app, ‘Taiwan Social Distancing App’; however, the effectiveness of this tracing app depends on its acceptance and uptake among the genera...

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Autores principales: Garrett, Paul M., Wang, Yu-Wen, White, Joshua P., Kashima, Yoshihsa, Dennis, Simon, Yang, Cheng-Ta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954552/
https://www.ncbi.nlm.nih.gov/pubmed/35329008
http://dx.doi.org/10.3390/ijerph19063323
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author Garrett, Paul M.
Wang, Yu-Wen
White, Joshua P.
Kashima, Yoshihsa
Dennis, Simon
Yang, Cheng-Ta
author_facet Garrett, Paul M.
Wang, Yu-Wen
White, Joshua P.
Kashima, Yoshihsa
Dennis, Simon
Yang, Cheng-Ta
author_sort Garrett, Paul M.
collection PubMed
description Taiwan has been a world leader in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic. Recently, the Taiwan Government launched its COVID-19 tracing app, ‘Taiwan Social Distancing App’; however, the effectiveness of this tracing app depends on its acceptance and uptake among the general population. We measured the acceptance of three hypothetical tracing technologies (telecommunication network tracing, a government app, and the Apple and Google Bluetooth exposure notification system) in four nationally representative Taiwanese samples. Using Bayesian methods, we found a high acceptance of all three tracking technologies, with acceptance increasing with the inclusion of additional privacy measures. Modeling revealed that acceptance increased with the perceived technology benefits, trust in the providers’ intent, data security and privacy measures, the level of ongoing control, and one’s level of education. Acceptance decreased with data sensitivity perceptions and a perceived low policy compliance by others among the general public. We consider the policy implications of these results for Taiwan during the COVID-19 pandemic and in the future.
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spelling pubmed-89545522022-03-26 High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis Garrett, Paul M. Wang, Yu-Wen White, Joshua P. Kashima, Yoshihsa Dennis, Simon Yang, Cheng-Ta Int J Environ Res Public Health Article Taiwan has been a world leader in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic. Recently, the Taiwan Government launched its COVID-19 tracing app, ‘Taiwan Social Distancing App’; however, the effectiveness of this tracing app depends on its acceptance and uptake among the general population. We measured the acceptance of three hypothetical tracing technologies (telecommunication network tracing, a government app, and the Apple and Google Bluetooth exposure notification system) in four nationally representative Taiwanese samples. Using Bayesian methods, we found a high acceptance of all three tracking technologies, with acceptance increasing with the inclusion of additional privacy measures. Modeling revealed that acceptance increased with the perceived technology benefits, trust in the providers’ intent, data security and privacy measures, the level of ongoing control, and one’s level of education. Acceptance decreased with data sensitivity perceptions and a perceived low policy compliance by others among the general public. We consider the policy implications of these results for Taiwan during the COVID-19 pandemic and in the future. MDPI 2022-03-11 /pmc/articles/PMC8954552/ /pubmed/35329008 http://dx.doi.org/10.3390/ijerph19063323 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garrett, Paul M.
Wang, Yu-Wen
White, Joshua P.
Kashima, Yoshihsa
Dennis, Simon
Yang, Cheng-Ta
High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis
title High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis
title_full High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis
title_fullStr High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis
title_full_unstemmed High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis
title_short High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis
title_sort high acceptance of covid-19 tracing technologies in taiwan: a nationally representative survey analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954552/
https://www.ncbi.nlm.nih.gov/pubmed/35329008
http://dx.doi.org/10.3390/ijerph19063323
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