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On the contact tracing for COVID-19: A simulation study()

BACKGROUND: Contact tracing is one of the most effective non-pharmaceutical interventions in the COVID-19 pandemic. This study uses a multi-agent model to investigate the impact of four types of contact tracing strategies to prevent the spread of COVID-19. METHODS: In order to analyse individual con...

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Autores principales: Berec, Luděk, Diviák, Tomáš, Kuběna, Aleš, Levínský, René, Neruda, Roman, Suchopárová, Gabriela, Šlerka, Josef, Šmíd, Martin, Trnka, Jan, Tuček, Vít, Vidnerová, Petra, Zajíček, Milan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019035/
https://www.ncbi.nlm.nih.gov/pubmed/36989916
http://dx.doi.org/10.1016/j.epidem.2023.100677
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author Berec, Luděk
Diviák, Tomáš
Kuběna, Aleš
Levínský, René
Neruda, Roman
Suchopárová, Gabriela
Šlerka, Josef
Šmíd, Martin
Trnka, Jan
Tuček, Vít
Vidnerová, Petra
Zajíček, Milan
author_facet Berec, Luděk
Diviák, Tomáš
Kuběna, Aleš
Levínský, René
Neruda, Roman
Suchopárová, Gabriela
Šlerka, Josef
Šmíd, Martin
Trnka, Jan
Tuček, Vít
Vidnerová, Petra
Zajíček, Milan
author_sort Berec, Luděk
collection PubMed
description BACKGROUND: Contact tracing is one of the most effective non-pharmaceutical interventions in the COVID-19 pandemic. This study uses a multi-agent model to investigate the impact of four types of contact tracing strategies to prevent the spread of COVID-19. METHODS: In order to analyse individual contact tracing in a reasonably realistic setup, we construct an agent-based model of a small municipality with about 60.000 inhabitants (nodes) and about 2.8 million social contacts (edges) in 30 different layers. Those layers reflect demographic, geographic, sociological and other patterns of the TTWA (Travel-to-work-area) Hodonín in Czechia. Various data sources such as census, land register, transport data or data reflecting the shopping behaviour, were employed to meet this purpose. On this multi-graph structure we run a modified SEIR model of the COVID-19 dynamics. The parameters of the model are calibrated on data from the outbreak in the Czech Republic in the period March to June 2020. The simplest type of contact tracing follows just the family, the second tracing version tracks the family and all the work contacts, the third type finds all contacts with the family, work contacts and friends (leisure activities). The last one is a complete (digital) tracing capable of recalling any and all contacts. We evaluate the performance of these contact tracing strategies in four different environments. First, we consider an environment without any contact restrictions (benchmark); second with strict contact restriction (replicating the stringent non-pharmaceutical interventions employed in Czechia in the spring 2020); third environment, where the measures were substantially relaxed, and, finally an environment with weak contact restrictions and superspreader events (replicating the situation in Czechia in the summer 2020). FINDINGS: There are four main findings in our paper. 1. In general, local closures are more effective than any type of tracing. 2. In an environment with strict contact restrictions there are only small differences among the four contact tracing strategies. 3. In an environment with relaxed contact restrictions the effectiveness of the tracing strategies differs substantially. 4. In the presence of superspreader events only complete contact tracing can stop the epidemic. INTERPRETATION: In situations, where many other non-pharmaceutical interventions are in place, the specific extent of contact tracing may not have a large influence on their effectiveness. In a more relaxed setting with few contact restrictions and larger events the effectiveness of contact tracing depends heavily on their extent.
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spelling pubmed-100190352023-03-16 On the contact tracing for COVID-19: A simulation study() Berec, Luděk Diviák, Tomáš Kuběna, Aleš Levínský, René Neruda, Roman Suchopárová, Gabriela Šlerka, Josef Šmíd, Martin Trnka, Jan Tuček, Vít Vidnerová, Petra Zajíček, Milan Epidemics Article BACKGROUND: Contact tracing is one of the most effective non-pharmaceutical interventions in the COVID-19 pandemic. This study uses a multi-agent model to investigate the impact of four types of contact tracing strategies to prevent the spread of COVID-19. METHODS: In order to analyse individual contact tracing in a reasonably realistic setup, we construct an agent-based model of a small municipality with about 60.000 inhabitants (nodes) and about 2.8 million social contacts (edges) in 30 different layers. Those layers reflect demographic, geographic, sociological and other patterns of the TTWA (Travel-to-work-area) Hodonín in Czechia. Various data sources such as census, land register, transport data or data reflecting the shopping behaviour, were employed to meet this purpose. On this multi-graph structure we run a modified SEIR model of the COVID-19 dynamics. The parameters of the model are calibrated on data from the outbreak in the Czech Republic in the period March to June 2020. The simplest type of contact tracing follows just the family, the second tracing version tracks the family and all the work contacts, the third type finds all contacts with the family, work contacts and friends (leisure activities). The last one is a complete (digital) tracing capable of recalling any and all contacts. We evaluate the performance of these contact tracing strategies in four different environments. First, we consider an environment without any contact restrictions (benchmark); second with strict contact restriction (replicating the stringent non-pharmaceutical interventions employed in Czechia in the spring 2020); third environment, where the measures were substantially relaxed, and, finally an environment with weak contact restrictions and superspreader events (replicating the situation in Czechia in the summer 2020). FINDINGS: There are four main findings in our paper. 1. In general, local closures are more effective than any type of tracing. 2. In an environment with strict contact restrictions there are only small differences among the four contact tracing strategies. 3. In an environment with relaxed contact restrictions the effectiveness of the tracing strategies differs substantially. 4. In the presence of superspreader events only complete contact tracing can stop the epidemic. INTERPRETATION: In situations, where many other non-pharmaceutical interventions are in place, the specific extent of contact tracing may not have a large influence on their effectiveness. In a more relaxed setting with few contact restrictions and larger events the effectiveness of contact tracing depends heavily on their extent. The Author(s). Published by Elsevier B.V. 2023-06 2023-03-16 /pmc/articles/PMC10019035/ /pubmed/36989916 http://dx.doi.org/10.1016/j.epidem.2023.100677 Text en © 2023 The Author(s) 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
Berec, Luděk
Diviák, Tomáš
Kuběna, Aleš
Levínský, René
Neruda, Roman
Suchopárová, Gabriela
Šlerka, Josef
Šmíd, Martin
Trnka, Jan
Tuček, Vít
Vidnerová, Petra
Zajíček, Milan
On the contact tracing for COVID-19: A simulation study()
title On the contact tracing for COVID-19: A simulation study()
title_full On the contact tracing for COVID-19: A simulation study()
title_fullStr On the contact tracing for COVID-19: A simulation study()
title_full_unstemmed On the contact tracing for COVID-19: A simulation study()
title_short On the contact tracing for COVID-19: A simulation study()
title_sort on the contact tracing for covid-19: a simulation study()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019035/
https://www.ncbi.nlm.nih.gov/pubmed/36989916
http://dx.doi.org/10.1016/j.epidem.2023.100677
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