COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings)
A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. We evaluate the performance of digital contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention, which emits high exposure warnings to smartphone users according to Bluetooth-based contact counting. We model the effect of both strategies on transmission dynamics in SERIA, an agent-based simulation platform that implements population-dependent statistical distributions. Results show that contact prevention remains effective in scenarios with high diagnostic/response time delays and low infection detection rates, which greatly impair the effect of traditional contact tracing strategies. Contact prevention could play a significant role in pandemic mitigation, especially in developing countries where diagnostic and tracing capabilities are inadequate. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of digital contact tracing and contact prevention could reduce pandemic-related mortality by 20–56%.
Main Authors: | , , , |
---|---|
Format: | article biblioteca |
Language: | eng |
Published: |
2021-07-13
|
Subjects: | Covid 19, SARS-CoV-2, Mitigación, Rastreo digital de contactos, Contactos basado en Bluetooth, Plataforma de simulación, Mitigation, Digital contact tracing, Contact prevention, Bluetooth-based contact counting, SERIA, Simulation platform, |
Online Access: | https://doi.org/10.1038/s41598-021-93538-5 http://hdl.handle.net/11086/19045 https://www.nature.com/articles/s41598-021-93538-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-unc-ar-11086-19045 |
---|---|
record_format |
koha |
spelling |
dig-unc-ar-11086-190452021-07-20T20:33:53Z COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) Soldano, Germán J. Fraire, Juan A. Finochietto, Jorge M. Quiroga, Rodrigo Covid 19 SARS-CoV-2 Mitigación Rastreo digital de contactos Contactos basado en Bluetooth Plataforma de simulación Mitigation Digital contact tracing Contact prevention Bluetooth-based contact counting SERIA Simulation platform A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. We evaluate the performance of digital contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention, which emits high exposure warnings to smartphone users according to Bluetooth-based contact counting. We model the effect of both strategies on transmission dynamics in SERIA, an agent-based simulation platform that implements population-dependent statistical distributions. Results show that contact prevention remains effective in scenarios with high diagnostic/response time delays and low infection detection rates, which greatly impair the effect of traditional contact tracing strategies. Contact prevention could play a significant role in pandemic mitigation, especially in developing countries where diagnostic and tracing capabilities are inadequate. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of digital contact tracing and contact prevention could reduce pandemic-related mortality by 20–56%. publishedVersion Fil: Soldano, Germán J. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas; Argentina. Fil: Soldano, Germán J. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina. Fil: Fraire Juan A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Fil: Fraire Juan A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios Avanzados en ingeniería y Tecnología; Argentina. Fil: Fraire Juan A. Saarland University. Saarland Informatics Campus; Saarbrücken, Germany. Fil: Finochietto, Jorge M. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Fil: Finochietto, Jorge M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios Avanzados en ingeniería y Tecnología; Argentina. Fil: Quiroga; Rodrigo. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas; Argentina. Fil: Quiroga; Rodrigo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina. 2021-07-19T16:01:22Z 2021-07-19T16:01:22Z 2021-07-13 article 2045-2322 https://doi.org/10.1038/s41598-021-93538-5 http://hdl.handle.net/11086/19045 https://www.nature.com/articles/s41598-021-93538-5 eng Attribution 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ |
institution |
UNC AR |
collection |
DSpace |
country |
Argentina |
countrycode |
AR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-unc-ar |
tag |
biblioteca |
region |
America del Sur |
libraryname |
Biblioteca 'Ing. Agrónomo Moisés Farber' de la Facultad de Ciencias Agropecuarias |
language |
eng |
topic |
Covid 19 SARS-CoV-2 Mitigación Rastreo digital de contactos Contactos basado en Bluetooth Plataforma de simulación Mitigation Digital contact tracing Contact prevention Bluetooth-based contact counting SERIA Simulation platform Covid 19 SARS-CoV-2 Mitigación Rastreo digital de contactos Contactos basado en Bluetooth Plataforma de simulación Mitigation Digital contact tracing Contact prevention Bluetooth-based contact counting SERIA Simulation platform |
spellingShingle |
Covid 19 SARS-CoV-2 Mitigación Rastreo digital de contactos Contactos basado en Bluetooth Plataforma de simulación Mitigation Digital contact tracing Contact prevention Bluetooth-based contact counting SERIA Simulation platform Covid 19 SARS-CoV-2 Mitigación Rastreo digital de contactos Contactos basado en Bluetooth Plataforma de simulación Mitigation Digital contact tracing Contact prevention Bluetooth-based contact counting SERIA Simulation platform Soldano, Germán J. Fraire, Juan A. Finochietto, Jorge M. Quiroga, Rodrigo COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
description |
A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. We evaluate the performance of digital contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention, which emits high exposure warnings to smartphone users according to Bluetooth-based contact counting. We model the effect of both strategies on transmission dynamics in SERIA, an agent-based simulation platform that implements population-dependent statistical distributions. Results show that contact prevention remains effective in scenarios with high diagnostic/response time delays and low infection detection rates, which greatly impair the effect of traditional contact tracing strategies. Contact prevention could play a significant role in pandemic mitigation, especially in developing countries where diagnostic and tracing capabilities are inadequate. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of digital contact tracing and contact prevention could reduce pandemic-related mortality by 20–56%. |
format |
article |
topic_facet |
Covid 19 SARS-CoV-2 Mitigación Rastreo digital de contactos Contactos basado en Bluetooth Plataforma de simulación Mitigation Digital contact tracing Contact prevention Bluetooth-based contact counting SERIA Simulation platform |
author |
Soldano, Germán J. Fraire, Juan A. Finochietto, Jorge M. Quiroga, Rodrigo |
author_facet |
Soldano, Germán J. Fraire, Juan A. Finochietto, Jorge M. Quiroga, Rodrigo |
author_sort |
Soldano, Germán J. |
title |
COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
title_short |
COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
title_full |
COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
title_fullStr |
COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
title_full_unstemmed |
COVID‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
title_sort |
covid‑19 mitigation by digital contact tracing and contact prevention (app‑based social exposure warnings) |
publishDate |
2021-07-13 |
url |
https://doi.org/10.1038/s41598-021-93538-5 http://hdl.handle.net/11086/19045 https://www.nature.com/articles/s41598-021-93538-5 |
work_keys_str_mv |
AT soldanogermanj covid19mitigationbydigitalcontacttracingandcontactpreventionappbasedsocialexposurewarnings AT frairejuana covid19mitigationbydigitalcontacttracingandcontactpreventionappbasedsocialexposurewarnings AT finochiettojorgem covid19mitigationbydigitalcontacttracingandcontactpreventionappbasedsocialexposurewarnings AT quirogarodrigo covid19mitigationbydigitalcontacttracingandcontactpreventionappbasedsocialexposurewarnings |
_version_ |
1756010362382057472 |