<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Prem K</submitter><funding>National Institute for Health Research (NIHR)</funding><funding>Wellcome Trust</funding><pagination>e261-e270</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7158905</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>5(5)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>In December, 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus, emerged in Wuhan, China. Since then, the city of Wuhan has taken unprecedented measures in response to the outbreak, including extended school and workplace closures. We aimed to estimate the effects of physical distancing measures on the progression of the COVID-19 epidemic, hoping to provide some insights for the rest of the world.&lt;h4>Methods&lt;/h4>To examine how changes in population mixing have affected outbreak progression in Wuhan, we used synthetic location-specific contact patterns in Wuhan and adapted these in the presence of school closures, extended workplace closures, and a reduction in mixing in the general community. Using these matrices and the latest estima</pubmed_abstract><journal>The Lancet. Public health</journal><pubmed_title>The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.</pubmed_title><pmcid>PMC7158905</pmcid><funding_grant_id>16/137/10</funding_grant_id><funding_grant_id>206250/Z/17/Z</funding_grant_id><funding_grant_id>PR-OD-1017-20002</funding_grant_id><funding_grant_id>210758/Z/18/Z</funding_grant_id><pubmed_authors>Diamond C</pubmed_authors><pubmed_authors>Bosse NI</pubmed_authors><pubmed_authors>Gibbs H</pubmed_authors><pubmed_authors>Funk S</pubmed_authors><pubmed_authors>Pearson CAB</pubmed_authors><pubmed_authors>van Zandvoort K</pubmed_authors><pubmed_authors>Prem K</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group</pubmed_authors><pubmed_authors>Kucharski AJ</pubmed_authors><pubmed_authors>Quilty BJ</pubmed_authors><pubmed_authors>Jarvis CI</pubmed_authors><pubmed_authors>Clifford S</pubmed_authors><pubmed_authors>Sun F</pubmed_authors><pubmed_authors>Gimma A</pubmed_authors><pubmed_authors>Abbott S</pubmed_authors><pubmed_authors>Eggo RM</pubmed_authors><pubmed_authors>Jombart T</pubmed_authors><pubmed_authors>Jit M</pubmed_authors><pubmed_authors>Flasche S</pubmed_authors><pubmed_authors>Hellewell J</pubmed_authors><pubmed_authors>Davies N</pubmed_authors><pubmed_authors>Klepac P</pubmed_authors><pubmed_authors>Edmunds WJ</pubmed_authors><pubmed_authors>Rosello A</pubmed_authors><pubmed_authors>Munday JD</pubmed_authors><pubmed_authors>Russell TW</pubmed_authors></additional><is_claimable>false</is_claimable><name>The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.</name><description>&lt;h4>Background&lt;/h4>In December, 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus, emerged in Wuhan, China. Since then, the city of Wuhan has taken unprecedented measures in response to the outbreak, including extended school and workplace closures. We aimed to estimate the effects of physical distancing measures on the progression of the COVID-19 epidemic, hoping to provide some insights for the rest of the world.&lt;h4>Methods&lt;/h4>To examine how changes in population mixing have affected outbreak progression in Wuhan, we used synthetic location-specific contact patterns in Wuhan and adapted these in the presence of school closures, extended workplace closures, and a reduction in mixing in the general community. Using these matrices and the latest estima</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 May</publication><modification>2025-05-29T20:24:29.643Z</modification><creation>2025-05-29T20:24:29.643Z</creation></dates><accession>S-EPMC7158905</accession><cross_references><pubmed>32220655</pubmed><doi>10.1016/S2468-2667(20)30073-6</doi></cross_references></HashMap>