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Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling.
Mishra, Swapnil; Scott, James A; Laydon, Daniel J; Flaxman, Seth; Gandy, Axel; Mellan, Thomas A; Unwin, H Juliette T; Vollmer, Michaela; Coupland, Helen; Ratmann, Oliver; Monod, Melodie; Zhu, Harrison H; Cori, Anne; Gaythorpe, Katy A M; Whittles, Lilith K; Whittaker, Charles; Donnelly, Christl A; Ferguson, Neil M; Bhatt, Samir.
  • Mishra S; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK. s.mishra@imperial.ac.uk.
  • Scott JA; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK. s.mishra@imperial.ac.uk.
  • Laydon DJ; Department of Mathematics, Imperial College London, London, UK.
  • Flaxman S; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Gandy A; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Mellan TA; Department of Mathematics, Imperial College London, London, UK.
  • Unwin HJT; Department of Mathematics, Imperial College London, London, UK.
  • Vollmer M; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Coupland H; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Ratmann O; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Monod M; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Zhu HH; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Cori A; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Gaythorpe KAM; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Whittles LK; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Whittaker C; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Donnelly CA; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Ferguson NM; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Bhatt S; Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Sci Rep ; 11(1): 16342, 2021 08 11.
Article in English | MEDLINE | ID: covidwho-1354114
ABSTRACT
The UK and Sweden have among the worst per-capita COVID-19 mortality in Europe. Sweden stands out for its greater reliance on voluntary, rather than mandatory, control measures. We explore how the timing and effectiveness of control measures in the UK, Sweden and Denmark shaped COVID-19 mortality in each country, using a counterfactual assessment what would the impact have been, had each country adopted the others' policies? Using a Bayesian semi-mechanistic model without prior assumptions on the mechanism or effectiveness of interventions, we estimate the time-varying reproduction number for the UK, Sweden and Denmark from daily mortality data. We use two approaches to evaluate counterfactuals which transpose the transmission profile from one country onto another, in each country's first wave from 13th March (when stringent interventions began) until 1st July 2020. UK mortality would have approximately doubled had Swedish policy been adopted, while Swedish mortality would have more than halved had Sweden adopted UK or Danish strategies. Danish policies were most effective, although differences between the UK and Denmark were significant for one counterfactual approach only. Our analysis shows that small changes in the timing or effectiveness of interventions have disproportionately large effects on total mortality within a rapidly growing epidemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Health Policy / Models, Theoretical Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-95699-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Health Policy / Models, Theoretical Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-95699-9