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A structured open dataset of government interventions in response to COVID-19
In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of e...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452888/ https://www.ncbi.nlm.nih.gov/pubmed/32855430 http://dx.doi.org/10.1038/s41597-020-00609-9 |
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author | Desvars-Larrive, Amélie Dervic, Elma Haug, Nina Niederkrotenthaler, Thomas Chen, Jiaying Di Natale, Anna Lasser, Jana Gliga, Diana S. Roux, Alexandra Sorger, Johannes Chakraborty, Abhijit Ten, Alexandr Dervic, Alija Pacheco, Andrea Jurczak, Ania Cserjan, David Lederhilger, Diana Bulska, Dominika Berishaj, Dorontinë Tames, Erwin Flores Álvarez, Francisco S. Takriti, Huda Korbel, Jan Reddish, Jenny Grzymała-Moszczyńska, Joanna Stangl, Johannes Hadziavdic, Lamija Stoeger, Laura Gooriah, Leana Geyrhofer, Lukas Ferreira, Marcia R. Bartoszek, Marta Vierlinger, Rainer Holder, Samantha Haberfellner, Simon Ahne, Verena Reisch, Viktoria Servedio, Vito D. P. Chen, Xiao Pocasangre-Orellana, Xochilt María Garncarek, Zuzanna Garcia, David Thurner, Stefan |
author_facet | Desvars-Larrive, Amélie Dervic, Elma Haug, Nina Niederkrotenthaler, Thomas Chen, Jiaying Di Natale, Anna Lasser, Jana Gliga, Diana S. Roux, Alexandra Sorger, Johannes Chakraborty, Abhijit Ten, Alexandr Dervic, Alija Pacheco, Andrea Jurczak, Ania Cserjan, David Lederhilger, Diana Bulska, Dominika Berishaj, Dorontinë Tames, Erwin Flores Álvarez, Francisco S. Takriti, Huda Korbel, Jan Reddish, Jenny Grzymała-Moszczyńska, Joanna Stangl, Johannes Hadziavdic, Lamija Stoeger, Laura Gooriah, Leana Geyrhofer, Lukas Ferreira, Marcia R. Bartoszek, Marta Vierlinger, Rainer Holder, Samantha Haberfellner, Simon Ahne, Verena Reisch, Viktoria Servedio, Vito D. P. Chen, Xiao Pocasangre-Orellana, Xochilt María Garncarek, Zuzanna Garcia, David Thurner, Stefan |
author_sort | Desvars-Larrive, Amélie |
collection | PubMed |
description | In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020. |
format | Online Article Text |
id | pubmed-7452888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74528882020-09-02 A structured open dataset of government interventions in response to COVID-19 Desvars-Larrive, Amélie Dervic, Elma Haug, Nina Niederkrotenthaler, Thomas Chen, Jiaying Di Natale, Anna Lasser, Jana Gliga, Diana S. Roux, Alexandra Sorger, Johannes Chakraborty, Abhijit Ten, Alexandr Dervic, Alija Pacheco, Andrea Jurczak, Ania Cserjan, David Lederhilger, Diana Bulska, Dominika Berishaj, Dorontinë Tames, Erwin Flores Álvarez, Francisco S. Takriti, Huda Korbel, Jan Reddish, Jenny Grzymała-Moszczyńska, Joanna Stangl, Johannes Hadziavdic, Lamija Stoeger, Laura Gooriah, Leana Geyrhofer, Lukas Ferreira, Marcia R. Bartoszek, Marta Vierlinger, Rainer Holder, Samantha Haberfellner, Simon Ahne, Verena Reisch, Viktoria Servedio, Vito D. P. Chen, Xiao Pocasangre-Orellana, Xochilt María Garncarek, Zuzanna Garcia, David Thurner, Stefan Sci Data Data Descriptor In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020. Nature Publishing Group UK 2020-08-27 /pmc/articles/PMC7452888/ /pubmed/32855430 http://dx.doi.org/10.1038/s41597-020-00609-9 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article. |
spellingShingle | Data Descriptor Desvars-Larrive, Amélie Dervic, Elma Haug, Nina Niederkrotenthaler, Thomas Chen, Jiaying Di Natale, Anna Lasser, Jana Gliga, Diana S. Roux, Alexandra Sorger, Johannes Chakraborty, Abhijit Ten, Alexandr Dervic, Alija Pacheco, Andrea Jurczak, Ania Cserjan, David Lederhilger, Diana Bulska, Dominika Berishaj, Dorontinë Tames, Erwin Flores Álvarez, Francisco S. Takriti, Huda Korbel, Jan Reddish, Jenny Grzymała-Moszczyńska, Joanna Stangl, Johannes Hadziavdic, Lamija Stoeger, Laura Gooriah, Leana Geyrhofer, Lukas Ferreira, Marcia R. Bartoszek, Marta Vierlinger, Rainer Holder, Samantha Haberfellner, Simon Ahne, Verena Reisch, Viktoria Servedio, Vito D. P. Chen, Xiao Pocasangre-Orellana, Xochilt María Garncarek, Zuzanna Garcia, David Thurner, Stefan A structured open dataset of government interventions in response to COVID-19 |
title | A structured open dataset of government interventions in response to COVID-19 |
title_full | A structured open dataset of government interventions in response to COVID-19 |
title_fullStr | A structured open dataset of government interventions in response to COVID-19 |
title_full_unstemmed | A structured open dataset of government interventions in response to COVID-19 |
title_short | A structured open dataset of government interventions in response to COVID-19 |
title_sort | structured open dataset of government interventions in response to covid-19 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452888/ https://www.ncbi.nlm.nih.gov/pubmed/32855430 http://dx.doi.org/10.1038/s41597-020-00609-9 |
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