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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | Epidemics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436520300475 |
| _version_ | 1819141361320853504 |
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| author | Davin Lunz Gregory Batt Jakob Ruess |
| author_facet | Davin Lunz Gregory Batt Jakob Ruess |
| author_sort | Davin Lunz |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T11:53:14Z |
| format | Article |
| id | doaj.art-5094f9675fed40df96234415e43f168e |
| institution | Directory Open Access Journal |
| issn | 1755-4365 |
| language | English |
| last_indexed | 2024-12-22T11:53:14Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Epidemics |
| spelling | doaj.art-5094f9675fed40df96234415e43f168e2022-12-21T18:26:54ZengElsevierEpidemics1755-43652021-03-0134100428To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracingDavin Lunz0Gregory Batt1Jakob Ruess2Inria Paris, 2 rue Simone Iff, 75012 Paris, France; Institut Pasteur, C3BI, 28 rue du Docteur-Roux, 75015 Paris, France; Inria Saclay – Île de France, 1 rue Honoré d’Estienne d’Orves, 91120 Palaiseau, France; École Polytechnique, CMAP, route de Saclay, 91128 Palaiseau, France; Corresponding author at: École Polytechnique, CMAP, route de Saclay, 91128 Palaiseau, France.Inria Paris, 2 rue Simone Iff, 75012 Paris, France; Institut Pasteur, C3BI, 28 rue du Docteur-Roux, 75015 Paris, FranceInria Paris, 2 rue Simone Iff, 75012 Paris, France; Institut Pasteur, C3BI, 28 rue du Docteur-Roux, 75015 Paris, FranceContact 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.http://www.sciencedirect.com/science/article/pii/S1755436520300475Epidemiological modelingContact tracingBasic reproduction numberAsymptotic analysis |
| spellingShingle | Davin Lunz Gregory Batt Jakob Ruess To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing Epidemics Epidemiological modeling Contact tracing Basic reproduction number Asymptotic analysis |
| 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 | Epidemiological modeling Contact tracing Basic reproduction number Asymptotic analysis |
| url | http://www.sciencedirect.com/science/article/pii/S1755436520300475 |
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