Global holiday datasets for understanding seasonal human mobility and population dynamics
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 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.
Lai, Shengjie
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Sorichetta, Alessandro
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Steele, Jessica
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Ruktanonchai, Corrine W.
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Cunningham, Alexander D.
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Rogers, Grant
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Koper, Patrycja
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Woods, Dorothea
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Bondarenko, Maksym
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Ruktanonchai, Nick W.
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Shi, Weifeng
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Tatem, Andrew J.
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20 January 2022
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Steele, Jessica
5cbba8c8-f3fd-41ee-82c8-0aa13c04c04d
Ruktanonchai, Corrine W.
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Cunningham, Alexander D.
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Rogers, Grant
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Koper, Patrycja
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Woods, Dorothea
2a542d84-18c1-48d5-b039-ebba67562006
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Ruktanonchai, Nick W.
fe68cb8d-3760-4955-99fa-47d43f86580a
Shi, Weifeng
26b5180c-60a4-408f-8838-99b1bba67dd6
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
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 and Tatem, Andrew J.
(2022)
Global holiday datasets for understanding seasonal human mobility and population dynamics.
Scientific Data, 9 (1), [17].
(doi:10.1038/s41597-022-01120-z).
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.
Text
s41597-022-01120-z
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Submitted date: 15 December 2020
Accepted/In Press date: 10 December 2021
Published date: 20 January 2022
Additional Information:
Funding Information:
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.
Publisher Copyright:
© 2022, The Author(s).
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Local EPrints ID: 454490
URI: http://eprints.soton.ac.uk/id/eprint/454490
ISSN: 2052-4463
PURE UUID: 53d876c3-54f4-49bf-bf38-89ae59025566
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Date deposited: 11 Feb 2022 17:34
Last modified: 17 Mar 2024 03:52
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Author:
Corrine W. Ruktanonchai
Author:
Grant Rogers
Author:
Nick W. Ruktanonchai
Author:
Weifeng Shi
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