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Open data for COVID-19 policy analysis and mapping

As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the policy a...

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Autores principales: Katz, Rebecca, Toole, Kate, Robertson, Hailey, Case, Alaina, Kerr, Justin, Robinson-Marshall, Siobhan, Schermerhorn, Jordan, Orsborn, Sarah, Van Maele, Michael, Zimmerman, Ryan, Stevens, Tess, Phelan, Alexandra, Carlson, Colin, Graeden, Ellie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374886/
https://www.ncbi.nlm.nih.gov/pubmed/37500627
http://dx.doi.org/10.1038/s41597-023-02398-3
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author Katz, Rebecca
Toole, Kate
Robertson, Hailey
Case, Alaina
Kerr, Justin
Robinson-Marshall, Siobhan
Schermerhorn, Jordan
Orsborn, Sarah
Van Maele, Michael
Zimmerman, Ryan
Stevens, Tess
Phelan, Alexandra
Carlson, Colin
Graeden, Ellie
author_facet Katz, Rebecca
Toole, Kate
Robertson, Hailey
Case, Alaina
Kerr, Justin
Robinson-Marshall, Siobhan
Schermerhorn, Jordan
Orsborn, Sarah
Van Maele, Michael
Zimmerman, Ryan
Stevens, Tess
Phelan, Alexandra
Carlson, Colin
Graeden, Ellie
author_sort Katz, Rebecca
collection PubMed
description As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the policy analysis focused narrowly on social distancing measures designed to slow the spread of disease, here, we present a dataset focused on capturing the breadth of policy types implemented by jurisdictions globally across the whole-of-government. COVID Analysis and Mapping of Policies (COVID AMP) includes nearly 50,000 policy measures from 150 countries, 124 intermediate areas, and 235 local areas between January 2020 and June 2022. With up to 40 structured and unstructured characteristics encoded per policy, as well as the original source and policy text, this dataset provides a uniquely broad capture of the governance strategies for pandemic response, serving as a critical data source for future work in legal epidemiology and political science.
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spelling pubmed-103748862023-07-29 Open data for COVID-19 policy analysis and mapping Katz, Rebecca Toole, Kate Robertson, Hailey Case, Alaina Kerr, Justin Robinson-Marshall, Siobhan Schermerhorn, Jordan Orsborn, Sarah Van Maele, Michael Zimmerman, Ryan Stevens, Tess Phelan, Alexandra Carlson, Colin Graeden, Ellie Sci Data Data Descriptor As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the policy analysis focused narrowly on social distancing measures designed to slow the spread of disease, here, we present a dataset focused on capturing the breadth of policy types implemented by jurisdictions globally across the whole-of-government. COVID Analysis and Mapping of Policies (COVID AMP) includes nearly 50,000 policy measures from 150 countries, 124 intermediate areas, and 235 local areas between January 2020 and June 2022. With up to 40 structured and unstructured characteristics encoded per policy, as well as the original source and policy text, this dataset provides a uniquely broad capture of the governance strategies for pandemic response, serving as a critical data source for future work in legal epidemiology and political science. Nature Publishing Group UK 2023-07-27 /pmc/articles/PMC10374886/ /pubmed/37500627 http://dx.doi.org/10.1038/s41597-023-02398-3 Text en © The Author(s) 2023 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/) .
spellingShingle Data Descriptor
Katz, Rebecca
Toole, Kate
Robertson, Hailey
Case, Alaina
Kerr, Justin
Robinson-Marshall, Siobhan
Schermerhorn, Jordan
Orsborn, Sarah
Van Maele, Michael
Zimmerman, Ryan
Stevens, Tess
Phelan, Alexandra
Carlson, Colin
Graeden, Ellie
Open data for COVID-19 policy analysis and mapping
title Open data for COVID-19 policy analysis and mapping
title_full Open data for COVID-19 policy analysis and mapping
title_fullStr Open data for COVID-19 policy analysis and mapping
title_full_unstemmed Open data for COVID-19 policy analysis and mapping
title_short Open data for COVID-19 policy analysis and mapping
title_sort open data for covid-19 policy analysis and mapping
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374886/
https://www.ncbi.nlm.nih.gov/pubmed/37500627
http://dx.doi.org/10.1038/s41597-023-02398-3
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