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The demography of COVID-19 deaths database, a gateway to well-documented international data

Authors :
Arianna Caporali
Jenny Garcia
Étienne Couppié
Svitlana Poniakina
Magali Barbieri
Florian Bonnet
Carlo Giovanni Camarda
Emmanuelle Cambois
Iris Hourani
Daria Korotkova
France Meslé
Olga Penina
Jean-Marie Robine
Markus Sauerberg
Catalina Torres
Institut national d'études démographiques (INED)
University of California [Berkeley]
University of California
National Academy of Sciences of Ukraine (NASU)
Nicolae Testemițanu State University of Medicine and Pharmacy (USMF)
Federal Institute for Population Research
Éco-Anthropologie (EAE)
Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)
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.

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⟩