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Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies

There are many contrasting results concerning the effectiveness of Test-Trace-Isolate (TTI) strategies in mitigating SARS-CoV-2 spread. To shed light on this debate, we developed a novel static-temporal multiplex network characterizing both the regular (static) and random (temporal) contact patterns...

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Autores principales: Zhang, Kun, Xia, Zhichu, Huang, Shudong, Sun, Gui-Quan, Lv, Jiancheng, Ajelli, Marco, Ejima, Keisuke, Liu, Quan-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501547/
https://www.ncbi.nlm.nih.gov/pubmed/37656743
http://dx.doi.org/10.1371/journal.pcbi.1011423
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author Zhang, Kun
Xia, Zhichu
Huang, Shudong
Sun, Gui-Quan
Lv, Jiancheng
Ajelli, Marco
Ejima, Keisuke
Liu, Quan-Hui
author_facet Zhang, Kun
Xia, Zhichu
Huang, Shudong
Sun, Gui-Quan
Lv, Jiancheng
Ajelli, Marco
Ejima, Keisuke
Liu, Quan-Hui
author_sort Zhang, Kun
collection PubMed
description There are many contrasting results concerning the effectiveness of Test-Trace-Isolate (TTI) strategies in mitigating SARS-CoV-2 spread. To shed light on this debate, we developed a novel static-temporal multiplex network characterizing both the regular (static) and random (temporal) contact patterns of individuals and a SARS-CoV-2 transmission model calibrated with historical COVID-19 epidemiological data. We estimated that the TTI strategy alone could not control the disease spread: assuming R(0) = 2.5, the infection attack rate would be reduced by 24.5%. Increased test capacity and improved contact trace efficiency only slightly improved the effectiveness of the TTI. We thus investigated the effectiveness of the TTI strategy when coupled with reactive social distancing policies. Limiting contacts on the temporal contact layer would be insufficient to control an epidemic and contacts on both layers would need to be limited simultaneously. For example, the infection attack rate would be reduced by 68.1% when the reactive distancing policy disconnects 30% and 50% of contacts on static and temporal layers, respectively. Our findings highlight that, to reduce the overall transmission, it is important to limit contacts regardless of their types in addition to identifying infected individuals through contact tracing, given the substantial proportion of asymptomatic and pre-symptomatic SARS-CoV-2 transmission.
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spelling pubmed-105015472023-09-15 Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies Zhang, Kun Xia, Zhichu Huang, Shudong Sun, Gui-Quan Lv, Jiancheng Ajelli, Marco Ejima, Keisuke Liu, Quan-Hui PLoS Comput Biol Research Article There are many contrasting results concerning the effectiveness of Test-Trace-Isolate (TTI) strategies in mitigating SARS-CoV-2 spread. To shed light on this debate, we developed a novel static-temporal multiplex network characterizing both the regular (static) and random (temporal) contact patterns of individuals and a SARS-CoV-2 transmission model calibrated with historical COVID-19 epidemiological data. We estimated that the TTI strategy alone could not control the disease spread: assuming R(0) = 2.5, the infection attack rate would be reduced by 24.5%. Increased test capacity and improved contact trace efficiency only slightly improved the effectiveness of the TTI. We thus investigated the effectiveness of the TTI strategy when coupled with reactive social distancing policies. Limiting contacts on the temporal contact layer would be insufficient to control an epidemic and contacts on both layers would need to be limited simultaneously. For example, the infection attack rate would be reduced by 68.1% when the reactive distancing policy disconnects 30% and 50% of contacts on static and temporal layers, respectively. Our findings highlight that, to reduce the overall transmission, it is important to limit contacts regardless of their types in addition to identifying infected individuals through contact tracing, given the substantial proportion of asymptomatic and pre-symptomatic SARS-CoV-2 transmission. Public Library of Science 2023-09-01 /pmc/articles/PMC10501547/ /pubmed/37656743 http://dx.doi.org/10.1371/journal.pcbi.1011423 Text en © 2023 Zhang 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
Zhang, Kun
Xia, Zhichu
Huang, Shudong
Sun, Gui-Quan
Lv, Jiancheng
Ajelli, Marco
Ejima, Keisuke
Liu, Quan-Hui
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
title Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
title_full Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
title_fullStr Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
title_full_unstemmed Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
title_short Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
title_sort evaluating the impact of test-trace-isolate for covid-19 management and alternative strategies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501547/
https://www.ncbi.nlm.nih.gov/pubmed/37656743
http://dx.doi.org/10.1371/journal.pcbi.1011423
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