Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science.
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| Title: | Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science. |
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| Authors: | Cheng C; Hochschule für Politik and the TUM School of Social Sciences and Technology at the Technical University of Munich (TUM), Munich, Germany., Desvars-Larrive A; Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna, Vienna, Austria.; Complexity Science Hub Vienna, Vienna, Austria., Ebbinghaus B; Department of Social Policy & Intervention, University of Oxford, Oxford, UK., Hale T; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom., Howes A; ACAPS, Geneva, Switzerland., Lehner L; Department of Social Policy & Intervention, University of Oxford, Oxford, UK., Messerschmidt L; Hochschule für Politik and the TUM School of Social Sciences and Technology at the Technical University of Munich (TUM), Munich, Germany. luca.messerschmidt@hfp.tum.de.; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom. luca.messerschmidt@hfp.tum.de., Nika A; ACAPS, Geneva, Switzerland., Penson S; ACAPS, Geneva, Switzerland., Petherick A; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom., Xu H; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA., Zapf AJ; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA., Zhang Y; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom., Zweig SA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. |
| Source: | Scientific data [Sci Data] 2022 Aug 26; Vol. 9 (1), pp. 520. Date of Electronic Publication: 2022 Aug 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-022-01616-8 |
