- Published
- 26 August 2022
- Journal article
Capturing the COVID-19 crisis through Public Health and Social Measures data science
- Authors
- Source
- Scientific Data
Abstract
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.
Rights
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Cite as
Cheng, C., Desvars-Larrive, A., Ebbinghaus, B., Hale, T., Howes, A., Lehner, L., Messerschmidt, L., Nika, A., Penson, S., Petherick, A., Xu, H., Zapf, A., Zhang, Y. & Zweig, S. 2022, 'Capturing the COVID-19 crisis through Public Health and Social Measures data science', Scientific Data, 9, article no: 520. https://doi.org/10.1038/s41597-022-01616-8