COVerAGE-DB: a database of age-structured COVID-19 cases and deaths
| Title: | COVerAGE-DB: a database of age-structured COVID-19 cases and deaths |
|---|---|
| Authors: | Timothy Riffe; Enrique Acosta; José M. Aburto; Diego Alburez-Gutierrez; Ugofilippo Basellini; Anna Altová; Simona Bignami; Didier Breton; Eungang Choi; Jorge Cimentada; Gonzalo De Armas; Emanuele Del Fava; Alicia Delgado; Viorela Diaconu; Jessica Donzowa; Christian Dudel; Antonia Fröhlich; Alain Gagnon; Mariana Garcia Cristómo; Victor M. Garcia-Guerrero; Armando González-Díaz; Irwin Hecker; Dagnon Eric Koba; Marina Kolobova; Mine Kühn; Chia Liu; Andrea Lozer; Madalina-Elena Manea; Muntasir Masum; Ryohei Mogi; Saskia Morwinsky; Ronald Musizvingoza; Mikko Myrskylä; Marilia R. Nepomuceno; Michelle Nickel; Natalie Nitsche; Anna Oksuzyan; Samuel Oladele; Emmanuel Olamijuwon; Oluwafunke Omodara; Soumaila Ouedraogo; Mariana Paredes; Marius Pascariu; Manuel Piriz; Raquel Pollero; Federico Rehermann; Filipe Ribeiro; Silvia Rizzi; Francisco Rowe; Isaac Sasson; Jiaxin Shi; Rafael Silva-Ramirez; Cosmo Strozza; Catalina Torres; Sergi Trias-Llimos; Fumiya Uchikoshi; Alyson A. van Raalte; Paola Vazquez-Castillo; Estevão Vilela; Iván Williams; Virginia Zarulli |
| Collection: | RePEc (Research Papers in Economics) |
| Description: | COVerAGE-DB is an open access database including cumulative counts of confirmed COVID-19 cases, deaths, and tests by age and sex. Original data and sources are provided alongside data and measures in age-harmonized formats. The database is still in development, and at this writing, it includes 87 countries, and 195 subnational areas. Cumulative counts of COVID-19 cases, deaths, and tests are recorded daily (when possible) since January 2020. Many time series thus fully capture the first pandemic wave and the beginning of later waves. An international team, composed of more than 60 researchers, contributed to the collection of data and metadata in COVerAGE-DB from governmental institutions, as well as to the design and implementation of the data processing and validation pipeline. We encourage researchers interested in supporting this project to send a message to the email: coverage-db@demogr.mpg.de ; World, age-sex distribution, data collection, data comparability, epidemics, infectious diseases |
| Document Type: | report |
| Language: | unknown |
| Relation: | https://www.demogr.mpg.de/papers/working/wp-2020-032.pdf; https://osf.io/mpwjq/ |
| Availability: | https://www.demogr.mpg.de/papers/working/wp-2020-032.pdf; https://osf.io/mpwjq/ |
| Accession Number: | edsbas.790EB59F |
| Database: | BASE |