Journal article
Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS
- Abstract:
-
Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD.
Patients and Methods: We conducted a descriptive retrospective datab...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Dove Press Publisher's website
- Journal:
- Clinical Epidemiology Journal website
- Volume:
- 14
- Pages:
- 369-384
- Publication date:
- 2022-03-22
- Acceptance date:
- 2022-01-27
- DOI:
- EISSN:
-
1179-1349
- ISSN:
-
1179-1349
- Pmid:
-
35345821
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1249042
- Local pid:
- pubs:1249042
- Deposit date:
- 2022-06-16
Terms of use
- Copyright holder:
- Kostka et al.
- Copyright date:
- 2022
- Rights statement:
- © 2022 Kostka et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms. php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
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