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OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.
Mahdi, Adam; Blaszczyk, Piotr; Dlotko, Pawel; Salvi, Dario; Chan, Tak-Shing; Harvey, John; Gurnari, Davide; Wu, Yue; Farhat, Ahmad; Hellmer, Niklas; Zarebski, Alexander; Hogan, Bernie; Tarassenko, Lionel.
Afiliação
  • Mahdi A; Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK. adam.mahdi@eng.ox.ac.uk.
  • Blaszczyk P; Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Krakow, Poland.
  • Dlotko P; Dioscuri Centre in Topological Data Analysis, Mathematical Institute, Polish Academy of Sciences, Warsaw, Poland.
  • Salvi D; Department of Mathematics, Swansea University, Swansea, UK.
  • Chan TS; School of Arts and Communication (K3), Malmö University, Malmö, Sweden.
  • Harvey J; Department of Mathematics, Swansea University, Swansea, UK.
  • Gurnari D; Department of Mathematics, Swansea University, Swansea, UK.
  • Wu Y; Department of Mathematics, University of Padova, Padova, Italy.
  • Farhat A; Mathematical Institute, University of Oxford, Oxford, UK.
  • Hellmer N; The Alan Turing Institute, London, UK.
  • Zarebski A; American University of Sharjah, Sharjah, United Arab Emirates.
  • Hogan B; Department of Mathematics, Swansea University, Swansea, UK.
  • Tarassenko L; Department of Zoology, University of Oxford, Oxford, UK.
Sci Rep ; 11(1): 9237, 2021 04 29.
Article em En | MEDLINE | ID: mdl-33927237
ABSTRACT
Oxford COVID-19 Database (OxCOVID19 Database) is a comprehensive source of information related to the COVID-19 pandemic. This relational database contains time-series data on epidemiology, government responses, mobility, weather and more across time and space for all countries at the national level, and for more than 50 countries at the regional level. It is curated from a variety of (wherever available) official sources. Its purpose is to facilitate the analysis of the spread of SARS-CoV-2 virus and to assess the effects of non-pharmaceutical interventions to reduce the impact of the pandemic. Our database is a freely available, daily updated tool that provides unified and granular information across geographical regions. Design type Data integration objective Measurement(s) Coronavirus infectious disease, viral epidemiology Technology type(s) Digital curation Factor types(s) Sample characteristic(s) Homo sapiens.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article