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Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread
BACKGROUND: Contact tracing has been essential to reducing spread of COVID-19. Singapore leveraged technology to assist with contact tracing efforts using a Bluetooth-based app and token platform called ‘TraceTogether’. METHODS: We reviewed the impact of this system during the country’s Delta and Om...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652620/ https://www.ncbi.nlm.nih.gov/pubmed/37974135 http://dx.doi.org/10.1186/s12889-023-17150-0 |
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author | Chow, Bryan W. K. Lim, Yi Ding Poh, Richard C. H. Ko, Amy Hong, Guo Hao Zou, Steffen W. L. Cheah, Joshua Ho, Shaowei Lee, Vernon J. M. Ho, Marc Z. J. |
author_facet | Chow, Bryan W. K. Lim, Yi Ding Poh, Richard C. H. Ko, Amy Hong, Guo Hao Zou, Steffen W. L. Cheah, Joshua Ho, Shaowei Lee, Vernon J. M. Ho, Marc Z. J. |
author_sort | Chow, Bryan W. K. |
collection | PubMed |
description | BACKGROUND: Contact tracing has been essential to reducing spread of COVID-19. Singapore leveraged technology to assist with contact tracing efforts using a Bluetooth-based app and token platform called ‘TraceTogether’. METHODS: We reviewed the impact of this system during the country’s Delta and Omicron waves (24 August 2021 to 17 February 2022) to identify differences in number of close contacts and time savings between full automation using TraceTogether alone as compared to manual contact tracing supplemented by TraceTogether. Characteristics of digital contact tracing app or token users were reviewed. Thereafter, the number of close contacts identified by manual and digital contact tracing methods, and the number of confirmed COVID-19 cases among contacts were analysed. The difference in time taken for identification of close contacts was also determined. FINDINGS: Adoption rate for TraceTogether was high, with 93.3% of cases having a registered device. There was a 9.8 h (34.9%) reduction in time savings for close contacts to be informed using TraceTogether alone compared to manual contact tracing supplemented by TraceTogether. The proportion of close contacts automatically identified through TraceTogether alone and turned positive was 3.6%. For those identified through manual contact tracing supplemented by TraceTogether, this proportion was 12.5% and 6.2% for those served quarantine orders and health risk warnings respectively. INTERPRETATION: The high adoption rate of ‘TraceTogether’ suggest that digital solutions remain a promising option to improve contact tracing in future epidemics. This may have been through its concurrent use with vaccine differentiated public health measures and policies which engender public trust. There is future potential for utilising such technology in managing communicable diseases to achieve good public health outcomes. |
format | Online Article Text |
id | pubmed-10652620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106526202023-11-16 Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread Chow, Bryan W. K. Lim, Yi Ding Poh, Richard C. H. Ko, Amy Hong, Guo Hao Zou, Steffen W. L. Cheah, Joshua Ho, Shaowei Lee, Vernon J. M. Ho, Marc Z. J. BMC Public Health Research BACKGROUND: Contact tracing has been essential to reducing spread of COVID-19. Singapore leveraged technology to assist with contact tracing efforts using a Bluetooth-based app and token platform called ‘TraceTogether’. METHODS: We reviewed the impact of this system during the country’s Delta and Omicron waves (24 August 2021 to 17 February 2022) to identify differences in number of close contacts and time savings between full automation using TraceTogether alone as compared to manual contact tracing supplemented by TraceTogether. Characteristics of digital contact tracing app or token users were reviewed. Thereafter, the number of close contacts identified by manual and digital contact tracing methods, and the number of confirmed COVID-19 cases among contacts were analysed. The difference in time taken for identification of close contacts was also determined. FINDINGS: Adoption rate for TraceTogether was high, with 93.3% of cases having a registered device. There was a 9.8 h (34.9%) reduction in time savings for close contacts to be informed using TraceTogether alone compared to manual contact tracing supplemented by TraceTogether. The proportion of close contacts automatically identified through TraceTogether alone and turned positive was 3.6%. For those identified through manual contact tracing supplemented by TraceTogether, this proportion was 12.5% and 6.2% for those served quarantine orders and health risk warnings respectively. INTERPRETATION: The high adoption rate of ‘TraceTogether’ suggest that digital solutions remain a promising option to improve contact tracing in future epidemics. This may have been through its concurrent use with vaccine differentiated public health measures and policies which engender public trust. There is future potential for utilising such technology in managing communicable diseases to achieve good public health outcomes. BioMed Central 2023-11-16 /pmc/articles/PMC10652620/ /pubmed/37974135 http://dx.doi.org/10.1186/s12889-023-17150-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chow, Bryan W. K. Lim, Yi Ding Poh, Richard C. H. Ko, Amy Hong, Guo Hao Zou, Steffen W. L. Cheah, Joshua Ho, Shaowei Lee, Vernon J. M. Ho, Marc Z. J. Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread |
title | Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread |
title_full | Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread |
title_fullStr | Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread |
title_full_unstemmed | Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread |
title_short | Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread |
title_sort | use of a digital contact tracing system in singapore to mitigate covid-19 spread |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652620/ https://www.ncbi.nlm.nih.gov/pubmed/37974135 http://dx.doi.org/10.1186/s12889-023-17150-0 |
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