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The demography of COVID-19 deaths database, a gateway to well-documented international data
- Source :
- Scientific Data, Scientific Data, Nature Publishing Group, 2022, 9, pp.93. ⟨10.1038/s41597-022-01191-y⟩
- Publication Year :
- 2022
- Publisher :
- HAL CCSD, 2022.
-
Abstract
- National authorities publish COVID-19 death counts, which are extensively re-circulated and compared; but data are generally poorly sourced and documented. Academics and stakeholders need tools to assess data quality and to track data-related discrepancies for comparability over time or across countries. “The Demography of COVID-19 Deaths” database aims at bridging this gap. It provides COVID-19 death counts along with associated documentation, which includes the exact data sources and points out issues of quality and coverage of the data. The database — launched in April 2020 and continuously updated — contains daily cumulative death counts attributable to COVID-19 broken down by sex and age, place and date of occurrence of the death. Data and metadata undergo quality control checks prior to online release. As of mid-December 2021, it covers 21 countries in Europe and beyond. It is open access at a bilingual (English and French) website with content intended for expert users and non-specialists (https://dc-covid.site.ined.fr/en/; figshare: https://doi.org/10.6084/m9.figshare.c.5807027). Data and metadata are available for each country separately and pooled over all countries.
- Subjects :
- Statistics and Probability
Databases, Factual
EPIDEMICS
Library and Information Sciences
[SHS.DEMO]Humanities and Social Sciences/Demography
INTERNATIONAL_COMPARISON
Education
STATISTICAL_DATA
Database
PLACE_OF_DEATH
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases
DEMOGRAPHIC_STATISTICS
Humans
DEFECTIVE_DATA
DIFFERENTIAL_MORTALITY
Demography
[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
Pandemic
MORTALITY
DEATH
COVID-19
Covid 19
AGE_DISTRIBUTION
Computer Science Applications
Europe
UNITED_STATES
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Statistics, Probability and Uncertainty
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Database :
- OpenAIRE
- Journal :
- Scientific Data, Scientific Data, Nature Publishing Group, 2022, 9, pp.93. ⟨10.1038/s41597-022-01191-y⟩
- Accession number :
- edsair.doi.dedup.....59d29c71ccefee73a230a813efd31a34
- Full Text :
- https://doi.org/10.1038/s41597-022-01191-y⟩