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Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK
BACKGROUND: To mitigate and slow the spread of COVID-19, many countries have adopted unprecedented physical distancing policies, including the UK. We evaluate whether these measures might be sufficient to control the epidemic by estimating their impact on the reproduction number (R(0), the average n...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202922/ https://www.ncbi.nlm.nih.gov/pubmed/32375776 http://dx.doi.org/10.1186/s12916-020-01597-8 |
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author | Jarvis, Christopher I. Van Zandvoort, Kevin Gimma, Amy Prem, Kiesha Klepac, Petra Rubin, G. James Edmunds, W. John |
author_facet | Jarvis, Christopher I. Van Zandvoort, Kevin Gimma, Amy Prem, Kiesha Klepac, Petra Rubin, G. James Edmunds, W. John |
author_sort | Jarvis, Christopher I. |
collection | PubMed |
description | BACKGROUND: To mitigate and slow the spread of COVID-19, many countries have adopted unprecedented physical distancing policies, including the UK. We evaluate whether these measures might be sufficient to control the epidemic by estimating their impact on the reproduction number (R(0), the average number of secondary cases generated per case). METHODS: We asked a representative sample of UK adults about their contact patterns on the previous day. The questionnaire was conducted online via email recruitment and documents the age and location of contacts and a measure of their intimacy (whether physical contact was made or not). In addition, we asked about adherence to different physical distancing measures. The first surveys were sent on Tuesday, 24 March, 1 day after a “lockdown” was implemented across the UK. We compared measured contact patterns during the “lockdown” to patterns of social contact made during a non-epidemic period. By comparing these, we estimated the change in reproduction number as a consequence of the physical distancing measures imposed. We used a meta-analysis of published estimates to inform our estimates of the reproduction number before interventions were put in place. RESULTS: We found a 74% reduction in the average daily number of contacts observed per participant (from 10.8 to 2.8). This would be sufficient to reduce R(0) from 2.6 prior to lockdown to 0.62 (95% confidence interval [CI] 0.37–0.89) after the lockdown, based on all types of contact and 0.37 (95% CI = 0.22–0.53) for physical (skin to skin) contacts only. CONCLUSIONS: The physical distancing measures adopted by the UK public have substantially reduced contact levels and will likely lead to a substantial impact and a decline in cases in the coming weeks. However, this projected decline in incidence will not occur immediately as there are significant delays between infection, the onset of symptomatic disease, and hospitalisation, as well as further delays to these events being reported. Tracking behavioural change can give a more rapid assessment of the impact of physical distancing measures than routine epidemiological surveillance. |
format | Online Article Text |
id | pubmed-7202922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72029222020-05-07 Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK Jarvis, Christopher I. Van Zandvoort, Kevin Gimma, Amy Prem, Kiesha Klepac, Petra Rubin, G. James Edmunds, W. John BMC Med Research Article BACKGROUND: To mitigate and slow the spread of COVID-19, many countries have adopted unprecedented physical distancing policies, including the UK. We evaluate whether these measures might be sufficient to control the epidemic by estimating their impact on the reproduction number (R(0), the average number of secondary cases generated per case). METHODS: We asked a representative sample of UK adults about their contact patterns on the previous day. The questionnaire was conducted online via email recruitment and documents the age and location of contacts and a measure of their intimacy (whether physical contact was made or not). In addition, we asked about adherence to different physical distancing measures. The first surveys were sent on Tuesday, 24 March, 1 day after a “lockdown” was implemented across the UK. We compared measured contact patterns during the “lockdown” to patterns of social contact made during a non-epidemic period. By comparing these, we estimated the change in reproduction number as a consequence of the physical distancing measures imposed. We used a meta-analysis of published estimates to inform our estimates of the reproduction number before interventions were put in place. RESULTS: We found a 74% reduction in the average daily number of contacts observed per participant (from 10.8 to 2.8). This would be sufficient to reduce R(0) from 2.6 prior to lockdown to 0.62 (95% confidence interval [CI] 0.37–0.89) after the lockdown, based on all types of contact and 0.37 (95% CI = 0.22–0.53) for physical (skin to skin) contacts only. CONCLUSIONS: The physical distancing measures adopted by the UK public have substantially reduced contact levels and will likely lead to a substantial impact and a decline in cases in the coming weeks. However, this projected decline in incidence will not occur immediately as there are significant delays between infection, the onset of symptomatic disease, and hospitalisation, as well as further delays to these events being reported. Tracking behavioural change can give a more rapid assessment of the impact of physical distancing measures than routine epidemiological surveillance. BioMed Central 2020-05-07 /pmc/articles/PMC7202922/ /pubmed/32375776 http://dx.doi.org/10.1186/s12916-020-01597-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Jarvis, Christopher I. Van Zandvoort, Kevin Gimma, Amy Prem, Kiesha Klepac, Petra Rubin, G. James Edmunds, W. John Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK |
title | Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK |
title_full | Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK |
title_fullStr | Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK |
title_full_unstemmed | Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK |
title_short | Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK |
title_sort | quantifying the impact of physical distance measures on the transmission of covid-19 in the uk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202922/ https://www.ncbi.nlm.nih.gov/pubmed/32375776 http://dx.doi.org/10.1186/s12916-020-01597-8 |
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