Global holiday datasets for understanding seasonal human mobility and population dynamics.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
20 01 2022
Historique:
received: 15 12 2020
accepted: 10 12 2021
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 16 4 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35058466
doi: 10.1038/s41597-022-01120-z
pii: 10.1038/s41597-022-01120-z
pmc: PMC8776767
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17

Subventions

Organisme : Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)
ID : OPP1134076
Organisme : Wellcome Trust (Wellcome)
ID : 204613/Z/16/Z
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)
ID : OPP1106427
Organisme : Wellcome Trust (Wellcome)
ID : 106866/Z/15/Z
Organisme : Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)
ID : INV-024911
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 81773498

Informations de copyright

© 2022. The Author(s).

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Auteurs

Shengjie Lai (S)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK. Shengjie.Lai@soton.ac.uk.

Alessandro Sorichetta (A)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Jessica Steele (J)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Corrine W Ruktanonchai (CW)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.
Population Health Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.

Alexander D Cunningham (AD)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Grant Rogers (G)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Patrycja Koper (P)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Dorothea Woods (D)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Maksym Bondarenko (M)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Nick W Ruktanonchai (NW)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.
Population Health Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.

Weifeng Shi (W)

School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China.

Andrew J Tatem (AJ)

WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.

Classifications MeSH