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On limits of contact tracing in epidemic control.
Piasecki, Tomasz; Mucha, Piotr B; Rosinska, Magdalena.
  • Piasecki T; Institute of Applied Mathematics and Mechanics, University of Warsaw, Warszawa, Poland.
  • Mucha PB; Institute of Applied Mathematics and Mechanics, University of Warsaw, Warszawa, Poland.
  • Rosinska M; Department of Infectious Disease Epidemiology and Surveillance, National Institute of Public Health - National Institute of Hygiene, Warsaw, Poland.
PLoS One ; 16(8): e0256180, 2021.
Article in English | MEDLINE | ID: covidwho-1362090
ABSTRACT
Contact tracing and quarantine are well established non-pharmaceutical epidemic control tools. The paper aims to clarify the impact of these measures in evolution of epidemic. The proposed deterministic model defines a simple rule on the reproduction number [Formula see text] in terms of ratio of diagnosed cases and, quarantine and transmission parameters. The model is applied to the early stage of Covid19 crisis in Poland. We investigate 3 scenarios corresponding to different ratios of diagnosed cases. Our results show that, depending on the scenario, contact tracing prevented from 50% to over 90% of cases. The effects of quarantine are limited by fraction of undiagnosed cases. The key conclusion is that under realistic assumptions the epidemic can not be controlled without any social distancing measures.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Algorithms / Quarantine / Contact Tracing / COVID-19 / Epidemiological Models Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0256180

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Algorithms / Quarantine / Contact Tracing / COVID-19 / Epidemiological Models Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0256180