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The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019
Background: Pre-symptomatic transmission can be a key determinant of the effectiveness of containment and mitigation strategies for infectious diseases, particularly if interventions rely on syndromic case finding. For COVID-19, infections in the absence of apparent symptoms have been reported frequ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324944/ https://www.ncbi.nlm.nih.gov/pubmed/32685697 http://dx.doi.org/10.12688/wellcomeopenres.15788.1 |
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author | Liu, Yang Funk, Sebastian Flasche, Stefan |
author_facet | Liu, Yang Funk, Sebastian Flasche, Stefan |
author_sort | Liu, Yang |
collection | PubMed |
description | Background: Pre-symptomatic transmission can be a key determinant of the effectiveness of containment and mitigation strategies for infectious diseases, particularly if interventions rely on syndromic case finding. For COVID-19, infections in the absence of apparent symptoms have been reported frequently alongside circumstantial evidence for asymptomatic or pre-symptomatic transmission. We estimated the potential contribution of pre-symptomatic cases to COVID-19 transmission. Methods: Using the probability for symptom onset on a given day inferred from the incubation period, we attributed the serial interval reported from Shenzen, China, into likely pre-symptomatic and symptomatic transmission. We used the serial interval derived for cases isolated more than 6 days after symptom onset as the no active case finding scenario and the unrestricted serial interval as the active case finding scenario. We reported the estimate assuming no correlation between the incubation period and the serial interval alongside a range indicating alternative assumptions of positive and negative correlation. Results: We estimated that 23% (range accounting for correlation: 12 – 28%) of transmissions in Shenzen may have originated from pre-symptomatic infections. Through accelerated case isolation following symptom onset, this percentage increased to 46% (21 – 46%), implying that about 35% of secondary infections among symptomatic cases have been prevented. These results were robust to using reported incubation periods and serial intervals from other settings. Conclusions: Pre-symptomatic transmission may be essential to consider for containment and mitigation strategies for COVID-19. |
format | Online Article Text |
id | pubmed-7324944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-73249442020-07-16 The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 Liu, Yang Funk, Sebastian Flasche, Stefan Wellcome Open Res Research Article Background: Pre-symptomatic transmission can be a key determinant of the effectiveness of containment and mitigation strategies for infectious diseases, particularly if interventions rely on syndromic case finding. For COVID-19, infections in the absence of apparent symptoms have been reported frequently alongside circumstantial evidence for asymptomatic or pre-symptomatic transmission. We estimated the potential contribution of pre-symptomatic cases to COVID-19 transmission. Methods: Using the probability for symptom onset on a given day inferred from the incubation period, we attributed the serial interval reported from Shenzen, China, into likely pre-symptomatic and symptomatic transmission. We used the serial interval derived for cases isolated more than 6 days after symptom onset as the no active case finding scenario and the unrestricted serial interval as the active case finding scenario. We reported the estimate assuming no correlation between the incubation period and the serial interval alongside a range indicating alternative assumptions of positive and negative correlation. Results: We estimated that 23% (range accounting for correlation: 12 – 28%) of transmissions in Shenzen may have originated from pre-symptomatic infections. Through accelerated case isolation following symptom onset, this percentage increased to 46% (21 – 46%), implying that about 35% of secondary infections among symptomatic cases have been prevented. These results were robust to using reported incubation periods and serial intervals from other settings. Conclusions: Pre-symptomatic transmission may be essential to consider for containment and mitigation strategies for COVID-19. F1000 Research Limited 2020-04-01 /pmc/articles/PMC7324944/ /pubmed/32685697 http://dx.doi.org/10.12688/wellcomeopenres.15788.1 Text en Copyright: © 2020 Liu Y et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Yang Funk, Sebastian Flasche, Stefan The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 |
title | The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 |
title_full | The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 |
title_fullStr | The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 |
title_full_unstemmed | The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 |
title_short | The contribution of pre-symptomatic infection to the transmission dynamics of COVID-2019 |
title_sort | contribution of pre-symptomatic infection to the transmission dynamics of covid-2019 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324944/ https://www.ncbi.nlm.nih.gov/pubmed/32685697 http://dx.doi.org/10.12688/wellcomeopenres.15788.1 |
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