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Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe
BACKGROUND: Following the emergence of the COVID-19 pandemic in Europe at the start of 2020, most countries had implemented various measures in an attempt to control the spread of the virus. This study analyses the main non-pharmaceutical interventions and their impact on the rate by which cumulativ...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904711/ https://www.ncbi.nlm.nih.gov/pubmed/35264231 http://dx.doi.org/10.1186/s13690-022-00830-5 |
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author | Cortis, Dominic Vella King, Fiona |
author_facet | Cortis, Dominic Vella King, Fiona |
author_sort | Cortis, Dominic |
collection | PubMed |
description | BACKGROUND: Following the emergence of the COVID-19 pandemic in Europe at the start of 2020, most countries had implemented various measures in an attempt to control the spread of the virus. This study analyses the main non-pharmaceutical interventions and their impact on the rate by which cumulative cases and deaths were growing in Europe during the first wave of this pandemic. METHODS: The interventions analysed are the school closures, restrictions on travel, cancellation of events, restrictions on gatherings, partial and full lockdowns. Data was collected on the implementation date of these interventions, and the number of daily cases and deaths during the first wave of the pandemic for every country and territory geographically located in Europe. The study uses growth rates to calculate the increase in cumulative cases and deaths in Europe before, during, and after these interventions were implemented. RESULTS: The results show that decisions to close schools, cancel events, and restrict travel were taken during the same time period, whereas the decisions for the other interventions were taken when the growth rates were similar. The most effective interventions at lowering the rate by which cumulative cases were increasing were the travel restrictions, school closures, and the partial lockdown, while most effective against cumulative deaths were the partial lockdown, travel restrictions, and full lockdown. CONCLUSION: All the interventions reduced the rate by which cumulative cases and deaths were increasing with the partial lockdowns being the most effective from the other interventions, during the first wave of the pandemic in Europe. |
format | Online Article Text |
id | pubmed-8904711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89047112022-03-09 Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe Cortis, Dominic Vella King, Fiona Arch Public Health Research BACKGROUND: Following the emergence of the COVID-19 pandemic in Europe at the start of 2020, most countries had implemented various measures in an attempt to control the spread of the virus. This study analyses the main non-pharmaceutical interventions and their impact on the rate by which cumulative cases and deaths were growing in Europe during the first wave of this pandemic. METHODS: The interventions analysed are the school closures, restrictions on travel, cancellation of events, restrictions on gatherings, partial and full lockdowns. Data was collected on the implementation date of these interventions, and the number of daily cases and deaths during the first wave of the pandemic for every country and territory geographically located in Europe. The study uses growth rates to calculate the increase in cumulative cases and deaths in Europe before, during, and after these interventions were implemented. RESULTS: The results show that decisions to close schools, cancel events, and restrict travel were taken during the same time period, whereas the decisions for the other interventions were taken when the growth rates were similar. The most effective interventions at lowering the rate by which cumulative cases were increasing were the travel restrictions, school closures, and the partial lockdown, while most effective against cumulative deaths were the partial lockdown, travel restrictions, and full lockdown. CONCLUSION: All the interventions reduced the rate by which cumulative cases and deaths were increasing with the partial lockdowns being the most effective from the other interventions, during the first wave of the pandemic in Europe. BioMed Central 2022-03-09 /pmc/articles/PMC8904711/ /pubmed/35264231 http://dx.doi.org/10.1186/s13690-022-00830-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cortis, Dominic Vella King, Fiona Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe |
title | Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe |
title_full | Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe |
title_fullStr | Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe |
title_full_unstemmed | Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe |
title_short | Back to basics: measuring the impact of interventions to limit the spread of COVID-19 in Europe |
title_sort | back to basics: measuring the impact of interventions to limit the spread of covid-19 in europe |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904711/ https://www.ncbi.nlm.nih.gov/pubmed/35264231 http://dx.doi.org/10.1186/s13690-022-00830-5 |
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