COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease

Autor: Oscar Wahltinez, Aurora Cheung, Ruth Alcantara, Donny Cheung, Mayank Daswani, Anthony Erlinger, Matt Lee, Pranali Yawalkar, Paula Lê, Ofir Picazo Navarro, Michael P. Brenner, Kevin Murphy
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Druh dokumentu: article
ISSN: 2052-4463
DOI: 10.1038/s41597-022-01263-z
Popis: Measurement(s) Epidemiology Technology Type(s) Python Factor Type(s) cases • deaths • vaccinations Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment anthropogenic environment Sample Characteristic - Location North America • Central America • South America • Eurasia • Oceania • Antarctica • Africa
Databáze: Directory of Open Access Journals