Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling
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 mor...
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2021
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oai:doaj.org-article:a7909190430045a9bb3b5a995db32e9e2021-12-02T16:28:00ZComparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling10.1038/s41598-021-95699-92045-2322https://doaj.org/article/a7909190430045a9bb3b5a995db32e9e2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95699-9https://doaj.org/toc/2045-2322Abstract 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.Swapnil MishraJames A. ScottDaniel J. LaydonSeth FlaxmanAxel GandyThomas A. MellanH. Juliette T. UnwinMichaela VollmerHelen CouplandOliver RatmannMelodie MonodHarrison H. ZhuAnne CoriKaty A. M. GaythorpeLilith K. WhittlesCharles WhittakerChristl A. DonnellyNeil M. FergusonSamir BhattNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Swapnil Mishra James A. Scott Daniel J. Laydon Seth Flaxman Axel Gandy Thomas A. Mellan H. Juliette T. Unwin Michaela Vollmer Helen Coupland Oliver Ratmann Melodie Monod Harrison H. Zhu Anne Cori Katy A. M. Gaythorpe Lilith K. Whittles Charles Whittaker Christl A. Donnelly Neil M. Ferguson Samir Bhatt Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling |
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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. |
format |
article |
author |
Swapnil Mishra James A. Scott Daniel J. Laydon Seth Flaxman Axel Gandy Thomas A. Mellan H. Juliette T. Unwin Michaela Vollmer Helen Coupland Oliver Ratmann Melodie Monod Harrison H. Zhu Anne Cori Katy A. M. Gaythorpe Lilith K. Whittles Charles Whittaker Christl A. Donnelly Neil M. Ferguson Samir Bhatt |
author_facet |
Swapnil Mishra James A. Scott Daniel J. Laydon Seth Flaxman Axel Gandy Thomas A. Mellan H. Juliette T. Unwin Michaela Vollmer Helen Coupland Oliver Ratmann Melodie Monod Harrison H. Zhu Anne Cori Katy A. M. Gaythorpe Lilith K. Whittles Charles Whittaker Christl A. Donnelly Neil M. Ferguson Samir Bhatt |
author_sort |
Swapnil Mishra |
title |
Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling |
title_short |
Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling |
title_full |
Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling |
title_fullStr |
Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling |
title_full_unstemmed |
Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling |
title_sort |
comparing the responses of the uk, sweden and denmark to covid-19 using counterfactual modelling |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a7909190430045a9bb3b5a995db32e9e |
work_keys_str_mv |
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