Cargando…
To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing
Contact tracing via smartphone applications is expected to be of major importance for maintaining control of the COVID-19 pandemic. However, viable deployment demands a minimal quarantine burden on the general public. That is, consideration must be given to unnecessary quarantining imposed by a cont...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834522/ https://www.ncbi.nlm.nih.gov/pubmed/33444928 http://dx.doi.org/10.1016/j.epidem.2020.100428 |
_version_ | 1783642300219392000 |
---|---|
author | Lunz, Davin Batt, Gregory Ruess, Jakob |
author_facet | Lunz, Davin Batt, Gregory Ruess, Jakob |
author_sort | Lunz, Davin |
collection | PubMed |
description | Contact tracing via smartphone applications is expected to be of major importance for maintaining control of the COVID-19 pandemic. However, viable deployment demands a minimal quarantine burden on the general public. That is, consideration must be given to unnecessary quarantining imposed by a contact tracing policy. Previous studies have modeled the role of contact tracing, but have not addressed how to balance these two competing needs. We propose a modeling framework that captures contact heterogeneity. This allows contact prioritization: contacts are only notified if they were acutely exposed to individuals who eventually tested positive. The framework thus allows us to address the delicate balance of preventing disease spread while minimizing the social and economic burdens of quarantine. This optimal contact tracing strategy is studied as a function of limitations in testing resources, partial technology adoption, and other intervention methods such as social distancing and lockdown measures. The framework is globally applicable, as the distribution describing contact heterogeneity is directly adaptable to any digital tracing implementation. |
format | Online Article Text |
id | pubmed-7834522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78345222021-01-26 To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing Lunz, Davin Batt, Gregory Ruess, Jakob Epidemics Article Contact tracing via smartphone applications is expected to be of major importance for maintaining control of the COVID-19 pandemic. However, viable deployment demands a minimal quarantine burden on the general public. That is, consideration must be given to unnecessary quarantining imposed by a contact tracing policy. Previous studies have modeled the role of contact tracing, but have not addressed how to balance these two competing needs. We propose a modeling framework that captures contact heterogeneity. This allows contact prioritization: contacts are only notified if they were acutely exposed to individuals who eventually tested positive. The framework thus allows us to address the delicate balance of preventing disease spread while minimizing the social and economic burdens of quarantine. This optimal contact tracing strategy is studied as a function of limitations in testing resources, partial technology adoption, and other intervention methods such as social distancing and lockdown measures. The framework is globally applicable, as the distribution describing contact heterogeneity is directly adaptable to any digital tracing implementation. The Authors. Published by Elsevier B.V. 2021-03 2020-12-15 /pmc/articles/PMC7834522/ /pubmed/33444928 http://dx.doi.org/10.1016/j.epidem.2020.100428 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Lunz, Davin Batt, Gregory Ruess, Jakob To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing |
title | To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing |
title_full | To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing |
title_fullStr | To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing |
title_full_unstemmed | To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing |
title_short | To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing |
title_sort | to quarantine, or not to quarantine: a theoretical framework for disease control via contact tracing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834522/ https://www.ncbi.nlm.nih.gov/pubmed/33444928 http://dx.doi.org/10.1016/j.epidem.2020.100428 |
work_keys_str_mv | AT lunzdavin toquarantineornottoquarantineatheoreticalframeworkfordiseasecontrolviacontacttracing AT battgregory toquarantineornottoquarantineatheoreticalframeworkfordiseasecontrolviacontacttracing AT ruessjakob toquarantineornottoquarantineatheoreticalframeworkfordiseasecontrolviacontacttracing |