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Title (en)
Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science
Language
English
Description (en)
In response to COVID-19, governments worldwide are implementing public health and social measures (PHSM) that substantially impact many areas beyond public health. The new field of PHSM data science collects, structures, and disseminates data on PHSM; here, we report the main achievements, challenges, and focus areas of this novel field of research.
Keywords (en)
COVID-19; Data Science; Humans; Public Health; SARS-CoV-2; Social Sciences
DOI
10.1038/s41597-022-01616-8
Author of the digital object
Cindy Cheng  (Technical University of Munich)
Sophia Alison Zweig  (Johns Hopkins Bloomberg School of Public Health)
Yuxi Zhang  (University of Oxford)
Alexander John Zapf  (Johns Hopkins Bloomberg School of Public Health)
Hanmeng Xu  (Johns Hopkins Bloomberg School of Public Health)
Anna Petherick  (University of Oxford)
Steve Penson
Angeliki Nika
Luca Messerschmidt  (Technical University of Munich / University of Oxford)
Lukas Lehner  (University of Oxford)
Alexandra Howes
Thomas Hale  (University of Oxford)
Bernhard Ebbinghaus  (University of Oxford)
Amélie Desvars-Larrive  (University of Veterinary Medicine Vienna)
Format
application/pdf
Size
858.9 kB
Licence Selected
CC BY 4.0 International
Type of publication
Article
Name of Publication (en)
Scientific Data
Pages or Volume
9
Volume
9
Number
1
Publisher
Nature Portfolio
Publication Date
2022