期刊
SCIENTIFIC DATA
卷 9, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01616-8
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资金
- TUM Chair of International Relations at the Hochschule fur Politik (Tim Buthe), ACAPS
- Blavatnik School of Government
- Complexity Science Hub Vienna
- Department of Social Policy & Intervention at the University of Oxford
- Johns Hopkins Bloomberg School of Public Health
- University of Veterinary Medicine Vienna
- Hochschule fur Politik at the Technical University of Munich (TUM)
- New York University Abu Dhabi (Covid-19 Facilitator Research Grant)
- Leibniz Research Alliance Group 'Crises in a Globalised World'
- CoronaNet in Eurasia: Leveraging the Comparative Moment in COVID-19 Research [832-06 g]
- European Union's Horizon 2020 research and innovation program, PERISCOPE: Pan European Response to the Impacts of COVID-19 and future Pandemics and Epidemics [101016233]
- German Academic Scholarship Foundation
- EOSC Co-Creation funding
- European Union [831644]
- Economic and Social Research Council (ESRC)
- Scatcherd European
- Saven European scholarships at the University of Oxford
- Deutsche Forschungsgemeinschaft (DFG)
- Blavatnik Family Foundation
- Roche
- UK Economic and Social Research Council
- UK Research and Innovation Strategic Priorities Fund
- UK Cabinet Office
- ACAPS Core Funding
- Johnson & Johnson foundation
The emerging field of PHSM data science plays a crucial role in responding to COVID-19. The main focus of this research area is to collect, structure, and disseminate data on public health and social measures, while also facing some challenges.
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.
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