Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Departments and Schools
  3. Faculty Publications (via McMaster Experts)
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/26586
Title: How did governmental interventions affect the spread of COVID-19 in European countries?
Authors: Post RAJ
Regis M
Zhan Z
van den Heuvel ER
Keywords: COVID-19;Effective-contact rate;Epidemic disease modeling;Governmental interventions;Social distancing;Basic Reproduction Number;COVID-19;Epidemics;Europe;Government;Humans;Models, Biological;Physical Distancing;Public Health;Quarantine;Restaurants;Schools
Publication Date: Dec-2021
Publisher: Springer Science and Business Media LLC
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>
metadata.dc.rights.license: Attribution - CC BY
URI: http://hdl.handle.net/11375/26586
metadata.dc.identifier.doi: https://doi.org/10.1186/s12889-021-10257-2
ISSN: 1471-2458
1471-2458
Appears in Collections:Faculty Publications (via McMaster Experts)

Files in This Item:
File Description SizeFormat 
How did governmental interventions affect the spread of COVID-19 in European countries.pdf
Open Access
Published version1.1 MBAdobe PDFView/Open
Show full item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue