Your browser doesn't support javascript.
A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe.
Altman, George; Ahuja, Janvi; Monrad, Joshua Teperowski; Dhaliwal, Gurpreet; Rogers-Smith, Charlie; Leech, Gavin; Snodin, Benedict; Sandbrink, Jonas B; Finnveden, Lukas; Norman, Alexander John; Oehm, Sebastian B; Sandkühler, Julia Fabienne; Kulveit, Jan; Flaxman, Seth; Gal, Yarin; Mishra, Swapnil; Bhatt, Samir; Sharma, Mrinank; Mindermann, Sören; Brauner, Jan Markus.
  • Altman G; Manchester University NHS Foundation Trust, Manchester, UK. George.Altman@mft.nhs.uk.
  • Ahuja J; Future of Humanity Institute, University of Oxford, Oxford, UK. janvi.ahuja@ndm.ox.ac.uk.
  • Monrad JT; Medical Sciences Division, University of Oxford, Oxford, UK. janvi.ahuja@ndm.ox.ac.uk.
  • Dhaliwal G; Future of Humanity Institute, University of Oxford, Oxford, UK.
  • Rogers-Smith C; Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
  • Leech G; Department of Health Policy, London School of Economics and Political Science, London, UK.
  • Snodin B; The Francis Crick Institute, London, UK.
  • Sandbrink JB; School of Life Sciences, University of Warwick, Coventry, UK.
  • Finnveden L; OATML Group (work done while at OATML as an external collaborator), Department of Computer Science, University of Oxford, Oxford, UK.
  • Norman AJ; Department of Computer Science, University of Bristol, Bristol, UK.
  • Oehm SB; Future of Humanity Institute, University of Oxford, Oxford, UK.
  • Sandkühler JF; Future of Humanity Institute, University of Oxford, Oxford, UK.
  • Kulveit J; Medical Sciences Division, University of Oxford, Oxford, UK.
  • Flaxman S; Future of Humanity Institute, University of Oxford, Oxford, UK.
  • Gal Y; Mathematical, Physical and Life Sciences (MPLS) Doctoral Training Centre, University of Oxford, Oxford, UK.
  • Mishra S; Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.
  • Bhatt S; University of Cambridge, Cambridge, UK.
  • Sharma M; University of Essen, Essen, Germany.
  • Mindermann S; Future of Humanity Institute, University of Oxford, Oxford, UK.
  • Brauner JM; Department of Mathematics, Imperial College London, London, UK.
Sci Data ; 9(1): 145, 2022 04 01.
Article in English | MEDLINE | ID: covidwho-1773990
ABSTRACT
During the second half of 2020, many European governments responded to the resurging transmission of SARS-CoV-2 with wide-ranging non-pharmaceutical interventions (NPIs). These efforts were often highly targeted at the regional level and included fine-grained NPIs. This paper describes a new dataset designed for the accurate recording of NPIs in Europe's second wave to allow precise modelling of NPI effectiveness. The dataset includes interventions from 114 regions in 7 European countries during the period from the 1st August 2020 to the 9th January 2021. The paper includes NPI definitions tailored to the second wave following an exploratory data collection. Each entry has been extensively validated by semi-independent double entry, comparison with existing datasets, and, when necessary, discussion with local epidemiologists. The dataset has considerable potential for use in disentangling the effectiveness of NPIs and comparing the impact of interventions across different phases of the pandemic.
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01175-y

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01175-y