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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8954552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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