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Time to R(t) < 1 for COVID-19 public health lockdown measures

The epidemiological target of lockdowns is to drive down the effective reproduction number (R(t)) to less than 1. A key unknown is the duration that lockdowns need to be in place to achieve this and which lockdown measures are effective. Daily number of laboratory confirmed community coronavirus 201...

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Detalles Bibliográficos
Autores principales: Yung, C. F., Saffari, E., Liew, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783085/
https://www.ncbi.nlm.nih.gov/pubmed/33292890
http://dx.doi.org/10.1017/S0950268820002964
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author Yung, C. F.
Saffari, E.
Liew, C.
author_facet Yung, C. F.
Saffari, E.
Liew, C.
author_sort Yung, C. F.
collection PubMed
description The epidemiological target of lockdowns is to drive down the effective reproduction number (R(t)) to less than 1. A key unknown is the duration that lockdowns need to be in place to achieve this and which lockdown measures are effective. Daily number of laboratory confirmed community coronavirus 2019 cases were extracted from regular reports from the Ministry of Health Singapore from 20 March 2020 to 4 May 2020. We generated daily R(t) to estimate the time needed for these public health lockdown measures to control the spread of severe acute respiratory syndrome coronavirus 2 as demonstrated by R(t) < 1. It took about 14 days of nationwide lockdown for the R(t) trend to change and start falling. The upper limit of the 95% confidence interval for time to R(t) < 1 was day 15 of lockdown. We have shown that it is possible to start ‘bending the R(t) curve’ about 2 weeks after implementation of specific lockdown measures with strict compliance.
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spelling pubmed-77830852021-01-05 Time to R(t) < 1 for COVID-19 public health lockdown measures Yung, C. F. Saffari, E. Liew, C. Epidemiol Infect From the Field The epidemiological target of lockdowns is to drive down the effective reproduction number (R(t)) to less than 1. A key unknown is the duration that lockdowns need to be in place to achieve this and which lockdown measures are effective. Daily number of laboratory confirmed community coronavirus 2019 cases were extracted from regular reports from the Ministry of Health Singapore from 20 March 2020 to 4 May 2020. We generated daily R(t) to estimate the time needed for these public health lockdown measures to control the spread of severe acute respiratory syndrome coronavirus 2 as demonstrated by R(t) < 1. It took about 14 days of nationwide lockdown for the R(t) trend to change and start falling. The upper limit of the 95% confidence interval for time to R(t) < 1 was day 15 of lockdown. We have shown that it is possible to start ‘bending the R(t) curve’ about 2 weeks after implementation of specific lockdown measures with strict compliance. Cambridge University Press 2020-12-09 /pmc/articles/PMC7783085/ /pubmed/33292890 http://dx.doi.org/10.1017/S0950268820002964 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 From the Field
Yung, C. F.
Saffari, E.
Liew, C.
Time to R(t) < 1 for COVID-19 public health lockdown measures
title Time to R(t) < 1 for COVID-19 public health lockdown measures
title_full Time to R(t) < 1 for COVID-19 public health lockdown measures
title_fullStr Time to R(t) < 1 for COVID-19 public health lockdown measures
title_full_unstemmed Time to R(t) < 1 for COVID-19 public health lockdown measures
title_short Time to R(t) < 1 for COVID-19 public health lockdown measures
title_sort time to r(t) < 1 for covid-19 public health lockdown measures
topic From the Field
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783085/
https://www.ncbi.nlm.nih.gov/pubmed/33292890
http://dx.doi.org/10.1017/S0950268820002964
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