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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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