Transmission dynamics of the COVID-19 epidemic in England.
Identifieur interne : 000601 ( Main/Corpus ); précédent : 000600; suivant : 000602Transmission dynamics of the COVID-19 epidemic in England.
Auteurs : Yang Liu ; Julian W. Tang ; Tommy T Y. LamSource :
- International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2020.
Abstract
BACKGROUND
The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood.
METHODS
A Bayesian SEIR (susceptible-exposed-infected-removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England.
RESULTS
The basic reproduction number (R
CONCLUSION
This study enhances understanding of the current outbreak and the effectiveness of control measures in the UK.
DOI: 10.1016/j.ijid.2020.12.055
PubMed: 33359440
PubMed Central: PMC7757353
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pubmed:33359440Le document en format XML
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<affiliation><nlm:affiliation>Medical Research Council Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK. Electronic address: yang.liu@mrc-bsu.cam.ac.uk.</nlm:affiliation>
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<author><name sortKey="Tang, Julian W" sort="Tang, Julian W" uniqKey="Tang J" first="Julian W" last="Tang">Julian W. Tang</name>
<affiliation><nlm:affiliation>Respiratory Sciences, University of Leicester, Leicester, UK.</nlm:affiliation>
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<author><name sortKey="Lam, Tommy T Y" sort="Lam, Tommy T Y" uniqKey="Lam T" first="Tommy T Y" last="Lam">Tommy T Y. Lam</name>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>A Bayesian SEIR (susceptible-exposed-infected-removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England.</p>
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<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The basic reproduction number (R</p>
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<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
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<p>This study enhances understanding of the current outbreak and the effectiveness of control measures in the UK.</p>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A Bayesian SEIR (susceptible-exposed-infected-removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England.</AbstractText>
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