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How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach
Contact Tracing (CT) is one of the measures taken by government and health officials to reduce the spread of the novel coronavirus. In this paper, we investigate its efficacy by developing a compartmental model for assessing its impact on mitigating the spread of the virus. We describe the impact on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Butterworths [etc.]
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603240/ https://www.ncbi.nlm.nih.gov/pubmed/34815616 http://dx.doi.org/10.1016/j.apm.2021.11.011 |
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author | Biala, T.A. Afolabi, Y.O. Khaliq, A.Q.M. |
author_facet | Biala, T.A. Afolabi, Y.O. Khaliq, A.Q.M. |
author_sort | Biala, T.A. |
collection | PubMed |
description | Contact Tracing (CT) is one of the measures taken by government and health officials to reduce the spread of the novel coronavirus. In this paper, we investigate its efficacy by developing a compartmental model for assessing its impact on mitigating the spread of the virus. We describe the impact on the reproduction number [Formula: see text] of COVID-19. In particular, we discuss the importance and relevance of parameters of the model such as the number of reported cases, effectiveness of tracking and monitoring policy, and the transmission rates to contact tracing. We describe the terms “perfect tracking”, “perfect monitoring” and “perfect reporting” to indicate that traced contacts will be tracked while incubating, tracked contacts are efficiently monitored so that they do not cause secondary infections, and all infected persons are reported, respectively. We consider three special scenarios: (1) perfect monitoring and perfect tracking of contacts of a reported case, (2) perfect reporting of cases and perfect monitoring of tracked reported cases and (3) perfect reporting and perfect tracking of contacts of reported cases. Furthermore, we gave a lower bound on the proportion of contacts to be traced to ensure that the effective reproduction, [Formula: see text] , is below one and describe [Formula: see text] in terms of observable quantities such as the proportion of reported and traced cases. Model simulations using the COVID-19 data obtained from John Hopkins University for some selected states in the US suggest that even late intervention of CT may reasonably reduce the transmission of COVID-19 and reduce peak hospitalizations and deaths. In particular, our findings suggest that effective monitoring policy of tracked cases and tracking of traced contacts while incubating are more crucial than tracing more contacts. The use of CT coupled with other measures such as social distancing, use of face mask, self-isolation or quarantine and lockdowns will greatly reduce the spread of the epidemic as well as peak hospitalizations and total deaths. |
format | Online Article Text |
id | pubmed-8603240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Butterworths [etc.] |
record_format | MEDLINE/PubMed |
spelling | pubmed-86032402021-11-19 How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach Biala, T.A. Afolabi, Y.O. Khaliq, A.Q.M. Appl Math Model Article Contact Tracing (CT) is one of the measures taken by government and health officials to reduce the spread of the novel coronavirus. In this paper, we investigate its efficacy by developing a compartmental model for assessing its impact on mitigating the spread of the virus. We describe the impact on the reproduction number [Formula: see text] of COVID-19. In particular, we discuss the importance and relevance of parameters of the model such as the number of reported cases, effectiveness of tracking and monitoring policy, and the transmission rates to contact tracing. We describe the terms “perfect tracking”, “perfect monitoring” and “perfect reporting” to indicate that traced contacts will be tracked while incubating, tracked contacts are efficiently monitored so that they do not cause secondary infections, and all infected persons are reported, respectively. We consider three special scenarios: (1) perfect monitoring and perfect tracking of contacts of a reported case, (2) perfect reporting of cases and perfect monitoring of tracked reported cases and (3) perfect reporting and perfect tracking of contacts of reported cases. Furthermore, we gave a lower bound on the proportion of contacts to be traced to ensure that the effective reproduction, [Formula: see text] , is below one and describe [Formula: see text] in terms of observable quantities such as the proportion of reported and traced cases. Model simulations using the COVID-19 data obtained from John Hopkins University for some selected states in the US suggest that even late intervention of CT may reasonably reduce the transmission of COVID-19 and reduce peak hospitalizations and deaths. In particular, our findings suggest that effective monitoring policy of tracked cases and tracking of traced contacts while incubating are more crucial than tracing more contacts. The use of CT coupled with other measures such as social distancing, use of face mask, self-isolation or quarantine and lockdowns will greatly reduce the spread of the epidemic as well as peak hospitalizations and total deaths. Butterworths [etc.] 2022-03 2021-11-19 /pmc/articles/PMC8603240/ /pubmed/34815616 http://dx.doi.org/10.1016/j.apm.2021.11.011 Text en 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 Biala, T.A. Afolabi, Y.O. Khaliq, A.Q.M. How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach |
title | How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach |
title_full | How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach |
title_fullStr | How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach |
title_full_unstemmed | How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach |
title_short | How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach |
title_sort | how efficient is contact tracing in mitigating the spread of covid-19? a mathematical modeling approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603240/ https://www.ncbi.nlm.nih.gov/pubmed/34815616 http://dx.doi.org/10.1016/j.apm.2021.11.011 |
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