Global holiday datasets for understanding seasonal human mobility and population dynamics
dc.contributor.author | Lai, Shengjie | en |
dc.contributor.author | Sorichetta, Alessandro | en |
dc.contributor.author | Steele, Jessica | en |
dc.contributor.author | Ruktanonchai, Corrine W. | en |
dc.contributor.author | Cunningham, Alexander D. | en |
dc.contributor.author | Rogers, Grant | en |
dc.contributor.author | Koper, Patrycja | en |
dc.contributor.author | Woods, Dorothea | en |
dc.contributor.author | Bondarenko, Maksym | en |
dc.contributor.author | Ruktanonchai, Nick W. | en |
dc.contributor.author | Shi, Weifeng | en |
dc.contributor.author | Tatem, Andrew J. | en |
dc.date.accessioned | 2022-08-05T12:15:24Z | en |
dc.date.available | 2022-08-05T12:15:24Z | en |
dc.date.issued | 2022-01-20 | en |
dc.description.abstract | 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. | en |
dc.description.notes | The authors would like to acknowledge the statistical offices and data providers for providing openly available relevant data making this research possible. This work was principally funded by the Bill & Melinda Gates Foundation (grant numbers: OPP1134076, INV-024911). S.L. was also supported by grants from the National Natural Science Fund of China (81773498) and the National Science and Technology Major Project of China (2016ZX10004222-009). A.J.T was supported by funding from the Bill & Melinda Gates Foundation (OPP1106427, OPP1032350, OPP1134076, OPP1094793), the Clinton Health Access Initiative, the UK Foreign, Commonwealth and Development Office (FCDO), and the Wellcome Trust (106866/Z/15/Z, 204613/Z/16/Z). The funders had no role in study design, data collection and analysis, decision to publish, and preparation of the manuscript. | en |
dc.description.sponsorship | Bill & Melinda Gates Foundation [OPP1106427, OPP1032350, OPP1134076, OPP1094793]; National Natural Science Fund of China [81773498]; National Science and Technology Major Project of China [2016ZX10004222-009]; Clinton Health Access Initiative; UK Foreign, Commonwealth and Development Office (FCDO); Wellcome Trust [106866/Z/15/Z, 204613/Z/16/Z] | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1038/s41597-022-01120-z | en |
dc.identifier.eissn | 2052-4463 | en |
dc.identifier.issue | 1 | en |
dc.identifier.other | 17 | en |
dc.identifier.pmid | 35058466 | en |
dc.identifier.uri | http://hdl.handle.net/10919/111472 | en |
dc.identifier.volume | 9 | en |
dc.language.iso | en | en |
dc.publisher | Nature Portfolio | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Holidays | en |
dc.subject | Infectious diseases | en |
dc.subject | Data | en |
dc.title | Global holiday datasets for understanding seasonal human mobility and population dynamics | en |
dc.title.serial | Scientific Data | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
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