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Understanding the effectiveness of government interventions in Europe's second wave of COVID-19
Mrinank Sharma; Sören Mindermann; Charlie Rogers-Smith; Gavin Leech; Benedict Snodin; Janvi Ahuja; Jonas B. Sandbrink; Joshua Teperowski Monrad; George Altman; Gurpreet Dhaliwal; Lukas Finnveden; Alexander John Norman; Sebastian B. Oehm; Julia Fabienne Sandkühler; Thomas Mellan; Jan Kulveit; Leonid Chindelevitch; Seth Flaxman; Yarin Gal; Swapnil Mishra; Jan Markus Brauner; Samir Bhatt.
Afiliación
  • Mrinank Sharma; Department of Statistics, University of Oxford, UK
  • Sören Mindermann; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, UK
  • Charlie Rogers-Smith; OATML Group (work done while at OATML as an external collaborator), Department of Computer Science, University of Oxford, UK
  • Gavin Leech; Department of Computer Science, University of Bristol, UK
  • Benedict Snodin; Future of Humanity Institute, University of Oxford, UK
  • Janvi Ahuja; Medical Sciences Division, University of Oxford, UK
  • Jonas B. Sandbrink; Medical Sciences Division, University of Oxford, UK
  • Joshua Teperowski Monrad; Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, UK
  • George Altman; Manchester University NHS Foundation Trust, UK
  • Gurpreet Dhaliwal; The Francis Crick Institute, London, UK
  • Lukas Finnveden; Future of Humanity Institute, University of Oxford, UK
  • Alexander John Norman; Mathematical, Physical and Life Sciences (MPLS) Doctoral Training Centre, University of Oxford, UK.
  • Sebastian B. Oehm; Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
  • Julia Fabienne Sandkühler; Independent researcher, Essen, Germany
  • Thomas Mellan; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, UK
  • Jan Kulveit; Future of Humanity Institute, University of Oxford, UK
  • Leonid Chindelevitch; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, UK
  • Seth Flaxman; Department of Mathematics, Imperial College London, UK
  • Yarin Gal; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, UK
  • Swapnil Mishra; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, UK
  • Jan Markus Brauner; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, UK
  • Samir Bhatt; Section of Epidemiology, Department of Public Health, University of Copenhagen, Denmark
Preprint en Inglés | medRxiv | ID: ppmedrxiv-21254330
ABSTRACT
As European governments face resurging waves of COVID-19, non-pharmaceutical interventions (NPIs) continue to be the primary tool for infection control. However, updated estimates of their relative effectiveness have been absent for Europes second wave, largely due to a lack of collated data that considers the increased subnational variation and diversity of NPIs. We collect the largest dataset of NPI implementation dates in Europe, spanning 114 subnational areas in 7 countries, with a systematic categorisation of interventions tailored to the second wave. Using a hierarchical Bayesian transmission model, we estimate the effectiveness of 17 NPIs from local case and death data. We manually validate the data, address limitations in modelling from previous studies, and extensively test the robustness of our estimates. The combined effect of all NPIs was smaller relative to estimates from the first half of 2020, indicating the strong influence of safety measures and individual protective behaviours--such as distancing--that persisted after the first wave. Closing specific businesses was highly effective. Gathering restrictions were highly effective but only for the strictest limits. We find smaller effects for closing educational institutions compared to the first wave, suggesting that safer operation of schools was possible with a set of stringent safety measures including testing and tracing, preventing mixing, and smaller classes. These results underscore that effectiveness estimates from the early stage of an epidemic are measured relative to pre-pandemic behaviour. Updated estimates are required to inform policy in an ongoing pandemic.
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Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Experimental_studies / Estudio observacional / Estudio pronóstico / Revisión sistemática Idioma: Inglés Año: 2021 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Experimental_studies / Estudio observacional / Estudio pronóstico / Revisión sistemática Idioma: Inglés Año: 2021 Tipo del documento: Preprint
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