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Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries

BACKGROUND: During the initial phase of the global COVID-19 outbreak, most countries responded with non-pharmaceutical interventions (NPIs). In this study we investigate the general effectiveness of these NPIs, how long different NPIs need to be in place to take effect, and how long they should be i...

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Autores principales: Nader, Ingo W., Zeilinger, Elisabeth L., Jomar, Dana, Zauchner, Clemens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318058/
https://www.ncbi.nlm.nih.gov/pubmed/34320982
http://dx.doi.org/10.1186/s12889-021-11530-0
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author Nader, Ingo W.
Zeilinger, Elisabeth L.
Jomar, Dana
Zauchner, Clemens
author_facet Nader, Ingo W.
Zeilinger, Elisabeth L.
Jomar, Dana
Zauchner, Clemens
author_sort Nader, Ingo W.
collection PubMed
description BACKGROUND: During the initial phase of the global COVID-19 outbreak, most countries responded with non-pharmaceutical interventions (NPIs). In this study we investigate the general effectiveness of these NPIs, how long different NPIs need to be in place to take effect, and how long they should be in place for their maximum effect to unfold. METHODS: We used global data and a non-parametric machine learning model to estimate the effects of NPIs in relation to how long they have been in place. We applied a random forest model and used accumulated local effect (ALE) plots to derive estimates of the effectiveness of single NPIs in relation to their implementation date. In addition, we used bootstrap samples to investigate the variability in these ALE plots. RESULTS: Our results show that closure and regulation of schools was the most important NPI, associated with a pronounced effect about 10 days after implementation. Restrictions of mass gatherings and restrictions and regulations of businesses were found to have a more gradual effect, and social distancing was associated with a delayed effect starting about 18 days after implementation. CONCLUSIONS: Our results can inform political decisions regarding the choice of NPIs and how long they need to be in place to take effect. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11530-0.
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spelling pubmed-83180582021-07-29 Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries Nader, Ingo W. Zeilinger, Elisabeth L. Jomar, Dana Zauchner, Clemens BMC Public Health Research Article BACKGROUND: During the initial phase of the global COVID-19 outbreak, most countries responded with non-pharmaceutical interventions (NPIs). In this study we investigate the general effectiveness of these NPIs, how long different NPIs need to be in place to take effect, and how long they should be in place for their maximum effect to unfold. METHODS: We used global data and a non-parametric machine learning model to estimate the effects of NPIs in relation to how long they have been in place. We applied a random forest model and used accumulated local effect (ALE) plots to derive estimates of the effectiveness of single NPIs in relation to their implementation date. In addition, we used bootstrap samples to investigate the variability in these ALE plots. RESULTS: Our results show that closure and regulation of schools was the most important NPI, associated with a pronounced effect about 10 days after implementation. Restrictions of mass gatherings and restrictions and regulations of businesses were found to have a more gradual effect, and social distancing was associated with a delayed effect starting about 18 days after implementation. CONCLUSIONS: Our results can inform political decisions regarding the choice of NPIs and how long they need to be in place to take effect. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11530-0. BioMed Central 2021-07-28 /pmc/articles/PMC8318058/ /pubmed/34320982 http://dx.doi.org/10.1186/s12889-021-11530-0 Text en © The Author(s) 2021 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 Article
Nader, Ingo W.
Zeilinger, Elisabeth L.
Jomar, Dana
Zauchner, Clemens
Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
title Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
title_full Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
title_fullStr Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
title_full_unstemmed Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
title_short Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
title_sort onset of effects of non-pharmaceutical interventions on covid-19 infection rates in 176 countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318058/
https://www.ncbi.nlm.nih.gov/pubmed/34320982
http://dx.doi.org/10.1186/s12889-021-11530-0
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