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Abstract

In response to the COVID-19 pandemic, the European Union/European Economic Area (EU/EEA) countries implemented a wide set of non-pharmaceutical interventions (NPIs), sometimes with limited knowledge on their effect and impact on population. The European Centre for Disease Prevention and Control (ECDC) and the European Commission’s Joint Research Centre (JRC) developed a Response Measures Database (ECDC–JRC RMD) to archive NPIs in 30 EU/EEA countries from 1 January 2020 to 30 September 2022. We aimed to introduce a tool for the wider scientific community to assess COVID-19 NPIs effect and impact in the EU/EEA. We give an overview of the ECDC–JRC RMD rationale and structure, including a brief analysis of the main NPIs applied in 2020, before the roll-out of the COVID-19 vaccination campaigns. The ECDC–JRC RMD organises NPIs through a three-level hierarchical structure and uses four additional parameters (‘status’, ‘implementation’, ‘target group’ and ‘geographical representation’) to provide further information on the implementation of each measure. Features including the ready-for-analysis, downloadable format and its agile taxonomy and structure highlight the potential of the ECDC–JRC RMD to facilitate further NPI analysis and optimise decision making on public health response policies.

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/content/10.2807/1560-7917.ES.2022.27.41.2101190
2022-10-13
2024-11-21
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2022.27.41.2101190
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References

  1. Spiteri G, Fielding J, Diercke M, Campese C, Enouf V, Gaymard A, et al. First cases of coronavirus disease 2019 (COVID-19) in the WHO European Region, 24 January to 21 February 2020. Euro Surveill. 2020;25(9). . Available from: https://www.ncbi.nlm.nih.gov/pubmed/32156327 https://doi.org/10.2807/1560-7917.ES.2020.25.9.2000178  PMID: 32156327 
  2. Ferguson N, Daniel L, Gemma N-G. Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. London: Imperial College London; 2020. Available from: https://spiral.imperial.ac.uk/handle/10044/1/77482
  3. Flaxman S, Mishra S, Gandy A, Unwin HJT, Mellan TA, Coupland H, et al. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature. 2020;584(7820):257-61.
  4. Haug N, Geyrhofer L, Londei A, Dervic E, Desvars-Larrive A, Loreto V, et al. Ranking the effectiveness of worldwide COVID-19 government interventions. Nat Hum Behav. 2020;4(12):1303-12.
  5. Askitas N, Tatsiramos K, Verheyden B. Estimating worldwide effects of non-pharmaceutical interventions on COVID-19 incidence and population mobility patterns using a multiple-event study. Sci Rep. 2021;11(1):1972.  https://doi.org/10.1038/s41598-021-81442-x  PMID: 33479325 
  6. Sharma M, Mindermann S, Rogers-Smith C, Leech G, Snodin B, Ahuja J, et al. Understanding the effectiveness of government interventions in Europe’s second wave of COVID-19. Nat Commun. 2021;15(5820).
  7. Duchene S, Featherstone L, Freiesleben de Blasio B, Holmes EC, Bohlin J, Pettersson JH. The impact of public health interventions in the Nordic countries during the first year of SARS-CoV-2 transmission and evolution. Euro Surveill. 2021;26(44):2001996.  https://doi.org/10.2807/1560-7917.ES.2021.26.44.2001996  PMID: 34738512 
  8. Hunter PR, Colón-González FJ, Brainard J, Rushton S. Impact of non-pharmaceutical interventions against COVID-19 in Europe in 2020: a quasi-experimental non-equivalent group and time series design study. Euro Surveill. 2021;26(28):2001401.  https://doi.org/10.2807/1560-7917.ES.2021.26.28.2001401  PMID: 34269173 
  9. Bosetti P, Huynh BT, Abdou AY, Sanchez M, Eisenhauer C, Courtejoie N, et al. Lockdown impact on age-specific contact patterns and behaviours, France, April 2020. Euro Surveill. 2021;26(48).  https://doi.org/10.2807/1560-7917.ES.2021.26.48.2001636  PMID: 34857064 
  10. Correia S, Luck S, Verner E. Pandemics depress the economy, public health interventions do not: evidence from the 1918 flu. Rochester, NY: Social Science Research Network; 2020. Available from: https://papers.ssrn.com/abstract=3564815
  11. Stock JH. Data gaps and the policy response to the novel coronavirus. Cambridge, MA: National Bureau of Economic Research; 2020. Available from: http://www.nber.org/papers/w26902
  12. ACAPS. ACAPS Government Measures Dataset. Geneva: ACAPS; 2020. Available from: https://www.acaps.org/sites/acaps/files/key-documents/files/acaps_-_covid-19_government_measures_dataset_readme.pdf
  13. Hale T, Angrist N, Goldszmidt R, Kira B, Petherick A, Phillips T, et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav. 2021;5(4):529-38.  https://doi.org/10.1038/s41562-021-01079-8  PMID: 33686204 
  14. World Health Organization (WHO) Regional Office for Europe. A systematic approach to monitoring and analysing public health and social measures (PHSM) in the context of the COVID-19 pandemic: underlying methodology and application of the PHSM database and PHSM Severity Index. Copenhagen: WHO Regional Office for Europe; 2020. Available from: https://apps.who.int/iris/bitstream/handle/10665/337686/WHO-EURO-2020-1610-41361-56329-eng.pdf?sequence=2&isAllowed=y
  15. Blanford JI, Jong NB, Schouten SE, Friedrich AW, Araújo-Soares V. Navigating travel in Europe during the pandemic: from mobile apps, certificates and quarantine to traffic-light system. J Travel Med. 2022;29(3):taac006.  https://doi.org/10.1093/jtm/taac006  PMID: 35134215 
  16. Wilder-Smith A, Freedman DO. Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med. 2020;27(2):taaa020.  https://doi.org/10.1093/jtm/taaa020  PMID: 32052841 
  17. R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2020. Available from: https://www.R-project.org
  18. Chae S, Kim W, Park H. At odds? How European governments decided on public health restrictions during COVID-19. Public Health. 2022;205:164-8.  https://doi.org/10.1016/j.puhe.2022.02.001  PMID: 35299082 
  19. European Centre for Disease Prevention and Control (ECDC). Data on country response measures to COVID-19. Stockholm: ECDC. [Accessed: 25 Sep 2022]. Available from: https://www.ecdc.europa.eu/en/publications-data/download-data-response-measures-covid-19
  20. Institute of Medicine (US) Forum on Microbial Threats. Learning from SARS: Preparing for the Next Disease Outbreak: Workshop Summary. Knobler S, Mahmoud A, Lemon S, Mack A, Sivitz L, Oberholtzer K, editors. Washington (DC): National Academies Press (US); 2004.  https://doi.org/10.17226/10915 
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