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Guest Editor’s Introduction: COVID-19 and Data Science

Detalles Bibliográficos
Autor principal: Li, Aihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386659/
http://dx.doi.org/10.1007/s40745-022-00443-3
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author Li, Aihua
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spelling pubmed-93866592022-08-18 Guest Editor’s Introduction: COVID-19 and Data Science Li, Aihua Ann. Data. Sci. Article Springer Berlin Heidelberg 2022-08-18 2022 /pmc/articles/PMC9386659/ http://dx.doi.org/10.1007/s40745-022-00443-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, corrected publication 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Li, Aihua
Guest Editor’s Introduction: COVID-19 and Data Science
title Guest Editor’s Introduction: COVID-19 and Data Science
title_full Guest Editor’s Introduction: COVID-19 and Data Science
title_fullStr Guest Editor’s Introduction: COVID-19 and Data Science
title_full_unstemmed Guest Editor’s Introduction: COVID-19 and Data Science
title_short Guest Editor’s Introduction: COVID-19 and Data Science
title_sort guest editor’s introduction: covid-19 and data science
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386659/
http://dx.doi.org/10.1007/s40745-022-00443-3
work_keys_str_mv AT liaihua guesteditorsintroductioncovid19anddatascience