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Global holiday datasets for understanding seasonal human mobility and population dynamics
Public and school holidays have important impacts on population mobility and dynamics across multiple spatial and temporal scales, subsequently affecting the transmission dynamics of infectious diseases and many socioeconomic activities. However, worldwide data on public and school holidays for unde...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776767/ https://www.ncbi.nlm.nih.gov/pubmed/35058466 http://dx.doi.org/10.1038/s41597-022-01120-z |
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author | Lai, Shengjie Sorichetta, Alessandro Steele, Jessica Ruktanonchai, Corrine W. Cunningham, Alexander D. Rogers, Grant Koper, Patrycja Woods, Dorothea Bondarenko, Maksym Ruktanonchai, Nick W. Shi, Weifeng Tatem, Andrew J. |
author_facet | Lai, Shengjie Sorichetta, Alessandro Steele, Jessica Ruktanonchai, Corrine W. Cunningham, Alexander D. Rogers, Grant Koper, Patrycja Woods, Dorothea Bondarenko, Maksym Ruktanonchai, Nick W. Shi, Weifeng Tatem, Andrew J. |
author_sort | Lai, Shengjie |
collection | PubMed |
description | Public and school holidays have important impacts on population mobility and dynamics across multiple spatial and temporal scales, subsequently affecting the transmission dynamics of infectious diseases and many socioeconomic activities. However, worldwide data on public and school holidays for understanding their changes across regions and years have not been assembled into a single, open-source and multitemporal dataset. To address this gap, an open access archive of data on public and school holidays in 2010–2019 across the globe at daily, weekly, and monthly timescales was constructed. Airline passenger volumes across 90 countries from 2010 to 2018 were also assembled to illustrate the usage of the holiday data for understanding the changing spatiotemporal patterns of population movements. |
format | Online Article Text |
id | pubmed-8776767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87767672022-02-04 Global holiday datasets for understanding seasonal human mobility and population dynamics Lai, Shengjie Sorichetta, Alessandro Steele, Jessica Ruktanonchai, Corrine W. Cunningham, Alexander D. Rogers, Grant Koper, Patrycja Woods, Dorothea Bondarenko, Maksym Ruktanonchai, Nick W. Shi, Weifeng Tatem, Andrew J. Sci Data Data Descriptor Public and school holidays have important impacts on population mobility and dynamics across multiple spatial and temporal scales, subsequently affecting the transmission dynamics of infectious diseases and many socioeconomic activities. However, worldwide data on public and school holidays for understanding their changes across regions and years have not been assembled into a single, open-source and multitemporal dataset. To address this gap, an open access archive of data on public and school holidays in 2010–2019 across the globe at daily, weekly, and monthly timescales was constructed. Airline passenger volumes across 90 countries from 2010 to 2018 were also assembled to illustrate the usage of the holiday data for understanding the changing spatiotemporal patterns of population movements. Nature Publishing Group UK 2022-01-20 /pmc/articles/PMC8776767/ /pubmed/35058466 http://dx.doi.org/10.1038/s41597-022-01120-z Text en © The Author(s) 2022 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 Lai, Shengjie Sorichetta, Alessandro Steele, Jessica Ruktanonchai, Corrine W. Cunningham, Alexander D. Rogers, Grant Koper, Patrycja Woods, Dorothea Bondarenko, Maksym Ruktanonchai, Nick W. Shi, Weifeng Tatem, Andrew J. Global holiday datasets for understanding seasonal human mobility and population dynamics |
title | Global holiday datasets for understanding seasonal human mobility and population dynamics |
title_full | Global holiday datasets for understanding seasonal human mobility and population dynamics |
title_fullStr | Global holiday datasets for understanding seasonal human mobility and population dynamics |
title_full_unstemmed | Global holiday datasets for understanding seasonal human mobility and population dynamics |
title_short | Global holiday datasets for understanding seasonal human mobility and population dynamics |
title_sort | global holiday datasets for understanding seasonal human mobility and population dynamics |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776767/ https://www.ncbi.nlm.nih.gov/pubmed/35058466 http://dx.doi.org/10.1038/s41597-022-01120-z |
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