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Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics
Simultaneously controlling COVID-19 epidemics and limiting economic and societal impacts presents a difficult challenge, especially with limited public health budgets. Testing, contact tracing, and isolating/quarantining is a key strategy that has been used to reduce transmission of SARS-CoV-2, the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241027/ https://www.ncbi.nlm.nih.gov/pubmed/34138866 http://dx.doi.org/10.1371/journal.pcbi.1009122 |
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author | Gardner, Billy J. Kilpatrick, A. Marm |
author_facet | Gardner, Billy J. Kilpatrick, A. Marm |
author_sort | Gardner, Billy J. |
collection | PubMed |
description | Simultaneously controlling COVID-19 epidemics and limiting economic and societal impacts presents a difficult challenge, especially with limited public health budgets. Testing, contact tracing, and isolating/quarantining is a key strategy that has been used to reduce transmission of SARS-CoV-2, the virus that causes COVID-19 and other pathogens. However, manual contact tracing is a time-consuming process and as case numbers increase a smaller fraction of cases’ contacts can be traced, leading to additional virus spread. Delays between symptom onset and being tested (and receiving results), and a low fraction of symptomatic cases being tested and traced can also reduce the impact of contact tracing on transmission. We examined the relationship between increasing cases and delays and the pathogen reproductive number R(t), and the implications for infection dynamics using deterministic and stochastic compartmental models of SARS-CoV-2. We found that R(t) increased sigmoidally with the number of cases due to decreasing contact tracing efficacy. This relationship results in accelerating epidemics because R(t) initially increases, rather than declines, as infections increase. Shifting contact tracers from locations with high and low case burdens relative to capacity to locations with intermediate case burdens maximizes their impact in reducing R(t) (but minimizing total infections may be more complicated). Contact tracing efficacy decreased sharply with increasing delays between symptom onset and tracing and with lower fraction of symptomatic infections being tested. Finally, testing and tracing reductions in R(t) can sometimes greatly delay epidemics due to the highly heterogeneous transmission dynamics of SARS-CoV-2. These results demonstrate the importance of having an expandable or mobile team of contact tracers that can be used to control surges in cases. They also highlight the synergistic value of high capacity, easy access testing and rapid turn-around of testing results, and outreach efforts to encourage symptomatic cases to be tested immediately after symptom onset. |
format | Online Article Text |
id | pubmed-8241027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82410272021-07-09 Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics Gardner, Billy J. Kilpatrick, A. Marm PLoS Comput Biol Research Article Simultaneously controlling COVID-19 epidemics and limiting economic and societal impacts presents a difficult challenge, especially with limited public health budgets. Testing, contact tracing, and isolating/quarantining is a key strategy that has been used to reduce transmission of SARS-CoV-2, the virus that causes COVID-19 and other pathogens. However, manual contact tracing is a time-consuming process and as case numbers increase a smaller fraction of cases’ contacts can be traced, leading to additional virus spread. Delays between symptom onset and being tested (and receiving results), and a low fraction of symptomatic cases being tested and traced can also reduce the impact of contact tracing on transmission. We examined the relationship between increasing cases and delays and the pathogen reproductive number R(t), and the implications for infection dynamics using deterministic and stochastic compartmental models of SARS-CoV-2. We found that R(t) increased sigmoidally with the number of cases due to decreasing contact tracing efficacy. This relationship results in accelerating epidemics because R(t) initially increases, rather than declines, as infections increase. Shifting contact tracers from locations with high and low case burdens relative to capacity to locations with intermediate case burdens maximizes their impact in reducing R(t) (but minimizing total infections may be more complicated). Contact tracing efficacy decreased sharply with increasing delays between symptom onset and tracing and with lower fraction of symptomatic infections being tested. Finally, testing and tracing reductions in R(t) can sometimes greatly delay epidemics due to the highly heterogeneous transmission dynamics of SARS-CoV-2. These results demonstrate the importance of having an expandable or mobile team of contact tracers that can be used to control surges in cases. They also highlight the synergistic value of high capacity, easy access testing and rapid turn-around of testing results, and outreach efforts to encourage symptomatic cases to be tested immediately after symptom onset. Public Library of Science 2021-06-17 /pmc/articles/PMC8241027/ /pubmed/34138866 http://dx.doi.org/10.1371/journal.pcbi.1009122 Text en © 2021 Gardner, Kilpatrick 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 Gardner, Billy J. Kilpatrick, A. Marm Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics |
title | Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics |
title_full | Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics |
title_fullStr | Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics |
title_full_unstemmed | Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics |
title_short | Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics |
title_sort | contact tracing efficiency, transmission heterogeneity, and accelerating covid-19 epidemics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241027/ https://www.ncbi.nlm.nih.gov/pubmed/34138866 http://dx.doi.org/10.1371/journal.pcbi.1009122 |
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