Cargando…

Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis

BACKGROUND: Mitigation of the spread of infection relies on targeted approaches aimed at preventing nonhousehold interactions. Contact tracing in the form of digital proximity tracing apps has been widely adopted in multiple countries due to its perceived added benefits of tracing speed and breadth...

Descripción completa

Detalles Bibliográficos
Autores principales: Daniore, Paola, Nittas, Vasileios, Moser, André, Höglinger, Marc, von Wyl, Viktor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658229/
https://www.ncbi.nlm.nih.gov/pubmed/34874890
http://dx.doi.org/10.2196/30004
_version_ 1784612681311846400
author Daniore, Paola
Nittas, Vasileios
Moser, André
Höglinger, Marc
von Wyl, Viktor
author_facet Daniore, Paola
Nittas, Vasileios
Moser, André
Höglinger, Marc
von Wyl, Viktor
author_sort Daniore, Paola
collection PubMed
description BACKGROUND: Mitigation of the spread of infection relies on targeted approaches aimed at preventing nonhousehold interactions. Contact tracing in the form of digital proximity tracing apps has been widely adopted in multiple countries due to its perceived added benefits of tracing speed and breadth in comparison to traditional manual contact tracing. Assessments of user responses to exposure notifications through a guided approach can provide insights into the effect of digital proximity tracing app use on managing the spread of SARS-CoV-2. OBJECTIVE: The aim of this study was to demonstrate the use of Venn diagrams to investigate the contributions of digital proximity tracing app exposure notifications and subsequent mitigative actions in curbing the spread of SARS-CoV-2 in Switzerland. METHODS: We assessed data from 4 survey waves (December 2020 to March 2021) from a nationwide panel study (COVID-19 Social Monitor) of Swiss residents who were (1) nonusers of the SwissCovid app, (2) users of the SwissCovid app, or (3) users of the SwissCovid app who received exposure notifications. A Venn diagram approach was applied to describe the overlap or nonoverlap of these subpopulations and to assess digital proximity tracing app use and its associated key performance indicators, including actions taken to prevent SARS-CoV-2 transmission. RESULTS: We included 12,525 assessments from 2403 participants, of whom 50.9% (1222/2403) reported not using the SwissCovid digital proximity tracing app, 49.1% (1181/2403) reported using the SwissCovid digital proximity tracing app and 2.5% (29/1181) of the digital proximity tracing app users reported having received an exposure notification. Most digital proximity tracing app users (75.9%, 22/29) revealed taking at least one recommended action after receiving an exposure notification, such as seeking SARS-CoV-2 testing (17/29, 58.6%) or calling a federal information hotline (7/29, 24.1%). An assessment of key indicators of mitigative actions through a Venn diagram approach reveals that 30% of digital proximity tracing app users (95% CI 11.9%-54.3%) also tested positive for SARS-CoV-2 after having received exposure notifications, which is more than 3 times that of digital proximity tracing app users who did not receive exposure notifications (8%, 95% CI 5%-11.9%). CONCLUSIONS: Responses in the form of mitigative actions taken by 3 out of 4 individuals who received exposure notifications reveal a possible contribution of digital proximity tracing apps in mitigating the spread of SARS-CoV-2. The application of a Venn diagram approach demonstrates its value as a foundation for researchers and health authorities to assess population-level digital proximity tracing app effectiveness by providing an intuitive approach for calculating key performance indicators.
format Online
Article
Text
id pubmed-8658229
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-86582292022-01-05 Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis Daniore, Paola Nittas, Vasileios Moser, André Höglinger, Marc von Wyl, Viktor JMIR Public Health Surveill Original Paper BACKGROUND: Mitigation of the spread of infection relies on targeted approaches aimed at preventing nonhousehold interactions. Contact tracing in the form of digital proximity tracing apps has been widely adopted in multiple countries due to its perceived added benefits of tracing speed and breadth in comparison to traditional manual contact tracing. Assessments of user responses to exposure notifications through a guided approach can provide insights into the effect of digital proximity tracing app use on managing the spread of SARS-CoV-2. OBJECTIVE: The aim of this study was to demonstrate the use of Venn diagrams to investigate the contributions of digital proximity tracing app exposure notifications and subsequent mitigative actions in curbing the spread of SARS-CoV-2 in Switzerland. METHODS: We assessed data from 4 survey waves (December 2020 to March 2021) from a nationwide panel study (COVID-19 Social Monitor) of Swiss residents who were (1) nonusers of the SwissCovid app, (2) users of the SwissCovid app, or (3) users of the SwissCovid app who received exposure notifications. A Venn diagram approach was applied to describe the overlap or nonoverlap of these subpopulations and to assess digital proximity tracing app use and its associated key performance indicators, including actions taken to prevent SARS-CoV-2 transmission. RESULTS: We included 12,525 assessments from 2403 participants, of whom 50.9% (1222/2403) reported not using the SwissCovid digital proximity tracing app, 49.1% (1181/2403) reported using the SwissCovid digital proximity tracing app and 2.5% (29/1181) of the digital proximity tracing app users reported having received an exposure notification. Most digital proximity tracing app users (75.9%, 22/29) revealed taking at least one recommended action after receiving an exposure notification, such as seeking SARS-CoV-2 testing (17/29, 58.6%) or calling a federal information hotline (7/29, 24.1%). An assessment of key indicators of mitigative actions through a Venn diagram approach reveals that 30% of digital proximity tracing app users (95% CI 11.9%-54.3%) also tested positive for SARS-CoV-2 after having received exposure notifications, which is more than 3 times that of digital proximity tracing app users who did not receive exposure notifications (8%, 95% CI 5%-11.9%). CONCLUSIONS: Responses in the form of mitigative actions taken by 3 out of 4 individuals who received exposure notifications reveal a possible contribution of digital proximity tracing apps in mitigating the spread of SARS-CoV-2. The application of a Venn diagram approach demonstrates its value as a foundation for researchers and health authorities to assess population-level digital proximity tracing app effectiveness by providing an intuitive approach for calculating key performance indicators. JMIR Publications 2021-12-06 /pmc/articles/PMC8658229/ /pubmed/34874890 http://dx.doi.org/10.2196/30004 Text en ©Paola Daniore, Vasileios Nittas, André Moser, Marc Höglinger, Viktor von Wyl. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 06.12.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Daniore, Paola
Nittas, Vasileios
Moser, André
Höglinger, Marc
von Wyl, Viktor
Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis
title Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis
title_full Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis
title_fullStr Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis
title_full_unstemmed Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis
title_short Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis
title_sort using venn diagrams to evaluate digital contact tracing: panel survey analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658229/
https://www.ncbi.nlm.nih.gov/pubmed/34874890
http://dx.doi.org/10.2196/30004
work_keys_str_mv AT daniorepaola usingvenndiagramstoevaluatedigitalcontacttracingpanelsurveyanalysis
AT nittasvasileios usingvenndiagramstoevaluatedigitalcontacttracingpanelsurveyanalysis
AT moserandre usingvenndiagramstoevaluatedigitalcontacttracingpanelsurveyanalysis
AT hoglingermarc usingvenndiagramstoevaluatedigitalcontacttracingpanelsurveyanalysis
AT vonwylviktor usingvenndiagramstoevaluatedigitalcontacttracingpanelsurveyanalysis