https://phaidra.vetmeduni.ac.at/o:2050 Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science Cheng, Cindy Cindy Cheng 0000-0002-7345-827X Technical University of Munich Zweig, Sophia Alison Sophia Alison Zweig Johns Hopkins Bloomberg School of Public Health Zhang, Yuxi Yuxi Zhang 0000-0001-7567-1149 University of Oxford Zapf, Alexander John Alexander John Zapf Johns Hopkins Bloomberg School of Public Health Xu, Hanmeng Hanmeng Xu Johns Hopkins Bloomberg School of Public Health Petherick, Anna Anna Petherick University of Oxford Penson, Steve Steve Penson Nika, Angeliki Angeliki Nika Messerschmidt, Luca Luca Messerschmidt 0000-0001-8069-381X Technical University of Munich / University of Oxford Lehner, Lukas Lukas Lehner 0000-0002-6639-3623 University of Oxford Howes, Alexandra Alexandra Howes Hale, Thomas Thomas Hale 0000-0002-8871-3376 University of Oxford Ebbinghaus, Bernhard Bernhard Ebbinghaus University of Oxford Desvars-Larrive, Amélie Amélie Desvars-Larrive 0000-0001-7671-696X University of Veterinary Medicine Vienna Nature Portfolio text eng 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. COVID-19; Data Science; Humans; Public Health; SARS-CoV-2; Social Sciences http://creativecommons.org/licenses/by/4.0/ https://phaidra.vetmeduni.ac.at/api/object/o:2050/download 10.1038/s41597-022-01616-8 https://phaidra.vetmeduni.ac.at/o:605 application/pdf Scientific Data 9(1) (2022) Scientific Data 9 1 858.89 kB 2022