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Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis
The outbreak of the novel coronavirus severe acute respiratory syndrome-coronavirus-2 has raised major health policy questions and dilemmas. Whilst respiratory droplets are believed to be the dominant transmission mechanisms, indirect transmission may also occur through shared contact of contaminate...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cambridge University Press
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642914/ https://www.ncbi.nlm.nih.gov/pubmed/33092672 http://dx.doi.org/10.1017/S0950268820002563 |
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author | Meiksin, A. |
author_facet | Meiksin, A. |
author_sort | Meiksin, A. |
collection | PubMed |
description | The outbreak of the novel coronavirus severe acute respiratory syndrome-coronavirus-2 has raised major health policy questions and dilemmas. Whilst respiratory droplets are believed to be the dominant transmission mechanisms, indirect transmission may also occur through shared contact of contaminated common objects that is not directly curtailed by a lockdown. The conditions under which contaminated common objects may lead to significant spread of coronavirus disease 2019 during lockdown and its easing is examined using the susceptible-exposed-infectious-removed model with a fomite term added. Modelling the weekly death rate in the UK, a maximum-likelihood analysis finds a statistically significant fomite contribution, with 0.009 ± 0.001 (95% CI) infection-inducing fomites introduced into the environment per day per infectious person. Post-lockdown, comparison with the prediction of a corresponding counterfactual model with no fomite transmission suggests fomites, through enhancing the overall transmission rate, may have contributed to as much as 25% of the deaths following lockdown. It is suggested that adding a fomite term to more complex simulations may assist in the understanding of the spread of the illness and in making policy decisions to control it. |
format | Online Article Text |
id | pubmed-7642914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76429142020-11-05 Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis Meiksin, A. Epidemiol Infect Original Paper The outbreak of the novel coronavirus severe acute respiratory syndrome-coronavirus-2 has raised major health policy questions and dilemmas. Whilst respiratory droplets are believed to be the dominant transmission mechanisms, indirect transmission may also occur through shared contact of contaminated common objects that is not directly curtailed by a lockdown. The conditions under which contaminated common objects may lead to significant spread of coronavirus disease 2019 during lockdown and its easing is examined using the susceptible-exposed-infectious-removed model with a fomite term added. Modelling the weekly death rate in the UK, a maximum-likelihood analysis finds a statistically significant fomite contribution, with 0.009 ± 0.001 (95% CI) infection-inducing fomites introduced into the environment per day per infectious person. Post-lockdown, comparison with the prediction of a corresponding counterfactual model with no fomite transmission suggests fomites, through enhancing the overall transmission rate, may have contributed to as much as 25% of the deaths following lockdown. It is suggested that adding a fomite term to more complex simulations may assist in the understanding of the spread of the illness and in making policy decisions to control it. Cambridge University Press 2020-10-23 /pmc/articles/PMC7642914/ /pubmed/33092672 http://dx.doi.org/10.1017/S0950268820002563 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Meiksin, A. Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis |
title | Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis |
title_full | Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis |
title_fullStr | Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis |
title_full_unstemmed | Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis |
title_short | Dynamics of COVID-19 transmission including indirect transmission mechanisms: a mathematical analysis |
title_sort | dynamics of covid-19 transmission including indirect transmission mechanisms: a mathematical analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642914/ https://www.ncbi.nlm.nih.gov/pubmed/33092672 http://dx.doi.org/10.1017/S0950268820002563 |
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