Global holiday datasets for understanding seasonal human mobility and population dynamics

Shengjie Lai; Alessandro Sorichetta; Jessica Steele; Corrine W. Ruktanonchai; Alexander D. Cunningham; Grant Rogers; Patrycja Koper; Dorothea Woods; Maksym Bondarenko; Nick W. Ruktanonchai; Weifeng Shi; Andrew J. Tatem

doi:10.1038/s41597-022-01120-z

Scientific Data (Jan 2022)

Global holiday datasets for understanding seasonal human mobility and population dynamics

Shengjie Lai,
Alessandro Sorichetta,
Jessica Steele,
Corrine W. Ruktanonchai,
Alexander D. Cunningham,
Grant Rogers,
Patrycja Koper,
Dorothea Woods,
Maksym Bondarenko,
Nick W. Ruktanonchai,
Weifeng Shi,
Andrew J. Tatem

Affiliations

Shengjie Lai: WorldPop, School of Geography and Environmental Science, University of Southampton
Alessandro Sorichetta: WorldPop, School of Geography and Environmental Science, University of Southampton
Jessica Steele: WorldPop, School of Geography and Environmental Science, University of Southampton
Corrine W. Ruktanonchai: WorldPop, School of Geography and Environmental Science, University of Southampton
Alexander D. Cunningham: WorldPop, School of Geography and Environmental Science, University of Southampton
Grant Rogers: WorldPop, School of Geography and Environmental Science, University of Southampton
Patrycja Koper: WorldPop, School of Geography and Environmental Science, University of Southampton
Dorothea Woods: WorldPop, School of Geography and Environmental Science, University of Southampton
Maksym Bondarenko: WorldPop, School of Geography and Environmental Science, University of Southampton
Nick W. Ruktanonchai: WorldPop, School of Geography and Environmental Science, University of Southampton
Weifeng Shi: School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences
Andrew J. Tatem: WorldPop, School of Geography and Environmental Science, University of Southampton

DOI: https://doi.org/10.1038/s41597-022-01120-z
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 13

Abstract

Read online

Measurement(s) public holiday • school holiday • airline passenger volume Technology Type(s) digital curation Factor Type(s) geographic location • temporal interval Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.17833922

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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