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Digital exposure notification tools: A global landscape analysis

BACKGROUND: As the COVID-19 pandemic continues, digital exposure notification systems are increasingly used to support traditional contact tracing and other preventive strategies. Likewise, a plethora of COVID-19 mobile applications have emerged. Objective: To characterize the global landscape of pa...

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Autores principales: Nebeker, Camille, Kareem, Daniah, Yong, Aidan, Kunowski, Rachel, Malekinejad, Mohsen, Aronoff-Spencer, Eliah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473497/
https://www.ncbi.nlm.nih.gov/pubmed/37656671
http://dx.doi.org/10.1371/journal.pdig.0000287
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author Nebeker, Camille
Kareem, Daniah
Yong, Aidan
Kunowski, Rachel
Malekinejad, Mohsen
Aronoff-Spencer, Eliah
author_facet Nebeker, Camille
Kareem, Daniah
Yong, Aidan
Kunowski, Rachel
Malekinejad, Mohsen
Aronoff-Spencer, Eliah
author_sort Nebeker, Camille
collection PubMed
description BACKGROUND: As the COVID-19 pandemic continues, digital exposure notification systems are increasingly used to support traditional contact tracing and other preventive strategies. Likewise, a plethora of COVID-19 mobile applications have emerged. Objective: To characterize the global landscape of pandemic related mobile applications, including digital exposure notification and contact tracing tools. DATA SOURCES AND METHODS: The following queries were entered into the Google search engine: “(*country name* COVID app) OR (COVID app *country name*) OR (COVID app *country name*+) OR (*country name*+ COVID app)”. The App Store, Google Play, and official government websites were then accessed to collect descriptive data for each application. Descriptive data were qualified and quantified using standard methods. COVID-19 Exposure Notification Systems (ENS) and non-Exposure Notification products were categorized and summarized to provide a global landscape review. RESULTS: Our search resulted in a global count of 224 COVID-19 mobile applications, in 127 countries. Of these 224 apps, 128 supported exposure notification, with 75 employing the Google Apple Exposure Notification (GAEN) application programming interface (API). Of the 75 apps using the GAEN API, 15 apps were developed using Exposure Notification Express, a GAEN turnkey solution. COVID-19 applications that did not include exposure notifications (n = 96) focused on COVID-19 Self-Assessment (35·4%), COVID-19 Statistics and Information (32·3%), and COVID-19 Health Advice (29·2%). CONCLUSIONS: The digital response to COVID-19 generated diverse and novel solutions to support non-pharmacologic public health interventions. More research is needed to evaluate the extent to which these services and strategies were useful in reducing viral transmission.
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spelling pubmed-104734972023-09-02 Digital exposure notification tools: A global landscape analysis Nebeker, Camille Kareem, Daniah Yong, Aidan Kunowski, Rachel Malekinejad, Mohsen Aronoff-Spencer, Eliah PLOS Digit Health Research Article BACKGROUND: As the COVID-19 pandemic continues, digital exposure notification systems are increasingly used to support traditional contact tracing and other preventive strategies. Likewise, a plethora of COVID-19 mobile applications have emerged. Objective: To characterize the global landscape of pandemic related mobile applications, including digital exposure notification and contact tracing tools. DATA SOURCES AND METHODS: The following queries were entered into the Google search engine: “(*country name* COVID app) OR (COVID app *country name*) OR (COVID app *country name*+) OR (*country name*+ COVID app)”. The App Store, Google Play, and official government websites were then accessed to collect descriptive data for each application. Descriptive data were qualified and quantified using standard methods. COVID-19 Exposure Notification Systems (ENS) and non-Exposure Notification products were categorized and summarized to provide a global landscape review. RESULTS: Our search resulted in a global count of 224 COVID-19 mobile applications, in 127 countries. Of these 224 apps, 128 supported exposure notification, with 75 employing the Google Apple Exposure Notification (GAEN) application programming interface (API). Of the 75 apps using the GAEN API, 15 apps were developed using Exposure Notification Express, a GAEN turnkey solution. COVID-19 applications that did not include exposure notifications (n = 96) focused on COVID-19 Self-Assessment (35·4%), COVID-19 Statistics and Information (32·3%), and COVID-19 Health Advice (29·2%). CONCLUSIONS: The digital response to COVID-19 generated diverse and novel solutions to support non-pharmacologic public health interventions. More research is needed to evaluate the extent to which these services and strategies were useful in reducing viral transmission. Public Library of Science 2023-09-01 /pmc/articles/PMC10473497/ /pubmed/37656671 http://dx.doi.org/10.1371/journal.pdig.0000287 Text en © 2023 Nebeker et al 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 author and source are credited.
spellingShingle Research Article
Nebeker, Camille
Kareem, Daniah
Yong, Aidan
Kunowski, Rachel
Malekinejad, Mohsen
Aronoff-Spencer, Eliah
Digital exposure notification tools: A global landscape analysis
title Digital exposure notification tools: A global landscape analysis
title_full Digital exposure notification tools: A global landscape analysis
title_fullStr Digital exposure notification tools: A global landscape analysis
title_full_unstemmed Digital exposure notification tools: A global landscape analysis
title_short Digital exposure notification tools: A global landscape analysis
title_sort digital exposure notification tools: a global landscape analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473497/
https://www.ncbi.nlm.nih.gov/pubmed/37656671
http://dx.doi.org/10.1371/journal.pdig.0000287
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