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How did governmental interventions affect the spread of COVID-19 in European countries?

dc.contributor.authorPost RAJ
dc.contributor.authorRegis M
dc.contributor.authorZhan Z
dc.contributor.authorvan den Heuvel ER
dc.date.accessioned2021-06-15T15:38:02Z
dc.date.available2021-06-15T15:38:02Z
dc.date.issued2021-12
dc.date.updated2021-06-15T15:38:00Z
dc.description.abstract<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>To reduce the transmission of the severe acute respiratory syndrome coronavirus 2 in its first wave, European governments have implemented successive measures to encourage social distancing. However, it remained unclear how effectively measures reduced the spread of the virus. We examined how the effective-contact rate (ECR), the mean number of daily contacts for an infectious individual to transmit the virus, among European citizens evolved during this wave over the period with implemented measures, disregarding a priori information on governmental measures.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We developed a data-oriented approach that is based on an extended Susceptible-Exposed-Infectious-Removed (SEIR) model. Using the available data on the confirmed numbers of infections and hospitalizations, we first estimated the daily total number of infectious-, exposed- and susceptible individuals and subsequently estimated the ECR with an iterative Poisson regression model. We then compared change points in the daily ECRs to the moments of the governmental measures.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The change points in the daily ECRs were found to align with the implementation of governmental interventions. At the end of the considered time-window, we found similar ECRs for Italy (0.29), Spain (0.24), and Germany (0.27), while the ECR in the Netherlands (0.34), Belgium (0.35) and the UK (0.37) were somewhat higher. The highest ECR was found for Sweden (0.45).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>There seemed to be an immediate effect of banning events and closing schools, typically among the first measures taken by the governments. The effect of additionally closing bars and restaurants seemed limited. For most countries a somewhat delayed effect of the full lockdown was observed, and the ECR after a full lockdown was not necessarily lower than an ECR after (only) a gathering ban.</jats:p> </jats:sec>
dc.identifier.doihttps://doi.org/10.1186/s12889-021-10257-2
dc.identifier.issn1471-2458
dc.identifier.issn1471-2458
dc.identifier.urihttp://hdl.handle.net/11375/26586
dc.publisherSpringer Science and Business Media LLC
dc.rights.licenseAttribution - CC BY
dc.rights.uri2
dc.subjectCOVID-19
dc.subjectEffective-contact rate
dc.subjectEpidemic disease modeling
dc.subjectGovernmental interventions
dc.subjectSocial distancing
dc.subjectBasic Reproduction Number
dc.subjectCOVID-19
dc.subjectEpidemics
dc.subjectEurope
dc.subjectGovernment
dc.subjectHumans
dc.subjectModels, Biological
dc.subjectPhysical Distancing
dc.subjectPublic Health
dc.subjectQuarantine
dc.subjectRestaurants
dc.subjectSchools
dc.titleHow did governmental interventions affect the spread of COVID-19 in European countries?
dc.typeArticle

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