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COVerAGE-DB: a database of age-structured COVID-19 cases and deaths

Author

Listed:
  • Timothy Riffe

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Enrique Acosta

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • José M. Aburto

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Diego Alburez-Gutierrez

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Ugofilippo Basellini

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Anna Altová
  • Simona Bignami-Van Assche
  • Didier Breton
  • Eungang Choi
  • Jorge Cimentada

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Gonzalo De Armas
  • Emanuele Del Fava

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Alicia Delgado
  • Viorela Diaconu

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Jessica Donzowa

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Christian Dudel

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Antonia Fröhlich

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Alain Gagnon

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Mariana Garcia Cristómo
  • Victor M. Garcia-Guerrero
  • Armando González-Díaz
  • Irwin Hecker
  • Dagnon Eric Koba
  • Marina Kolobova

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Mine Kühn

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Chia Liu

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Andrea Lozer

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Madalina-Elena Manea

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Muntasir Masum

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Ryohei Mogi
  • Saskia Morwinsky

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Ronald Musizvingoza
  • Mikko Myrskylä

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Marilia R. Nepomuceno

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Michelle Nickel

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Natalie Nitsche

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Anna Oksuzyan

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Samuel Oladele
  • Emmanuel Olamijuwon
  • Oluwafunke Omodara
  • Soumaila Ouedraogo

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Mariana Paredes
  • Marius Pascariu
  • Manuel Piriz
  • Raquel Pollero
  • Federico Rehermann
  • Filipe Ribeiro
  • Silvia Rizzi

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Francisco Rowe
  • Isaac Sasson
  • Jiaxin Shi

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Rafael Silva-Ramirez
  • Cosmo Strozza

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Catalina Torres
  • Sergi Trias-Llimos
  • Fumiya Uchikoshi
  • Alyson A. van Raalte

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Paola Vazquez-Castillo
  • Estevão Vilela
  • Iván Williams

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Virginia Zarulli

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

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

Suggested Citation

  • Timothy Riffe & Enrique Acosta & José M. Aburto & Diego Alburez-Gutierrez & Ugofilippo Basellini & Anna Altová & Simona Bignami-Van Assche & Didier Breton & Eungang Choi & Jorge Cimentada & Gonzalo De, 2020. "COVerAGE-DB: a database of age-structured COVID-19 cases and deaths," MPIDR Working Papers WP-2020-032, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2020-032
    DOI: 10.4054/MPIDR-WP-2020-032
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    References listed on IDEAS

    as
    1. Christian Dudel & Timothy Riffe & Enrique Acosta & Alyson A. van Raalte & Cosmo Strozza & Mikko Myrskylä, 2020. "Monitoring trends and differences in COVID-19 case-fatality rates using decomposition methods: contributions of age structure and age-specific fatality," MPIDR Working Papers WP-2020-020, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Bruno Arpino & Valeria Bordone & Marta Pasqualini, 2020. "No clear association emerges between intergenerational relationships and COVID-19 fatality rates from macro-level analyses," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(32), pages 19116-19121, August.
    3. Arolas, Héctor Pifarré i & Acosta, Enrique & Casasnovas, Guillem López & Lo, Adeline & Nicodemo, Catia & Riffe, Tim & Myrskylä, Mikko, 2020. "Global years of life lost to COVID-19," SocArXiv gveaj, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    World; age-sex distribution; data collection; data comparability; epidemics; infectious diseases;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

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