IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2020-032.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/papers/working/wp-2020-032.pdf
    Download Restriction: no

    File URL: https://osf.io/mpwjq/
    Download Restriction: no

    File URL: https://libkey.io/10.4054/MPIDR-WP-2020-032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anne Goujon & Fabrizio Natale & Daniela Ghio & Alessandra Conte, 2022. "Demographic and territorial characteristics of COVID-19 cases and excess mortality in the European Union during the first wave," Journal of Population Research, Springer, vol. 39(4), pages 533-556, December.
    2. Robert Kubinec & Luiz Max Carvalho, 2020. "A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts," Working Papers 20200041, New York University Abu Dhabi, Department of Social Science, revised Apr 2020.
    3. Eunha Shim, 2021. "Regional Variability in COVID-19 Case Fatality Rate in Canada, February–December 2020," IJERPH, MDPI, vol. 18(4), pages 1-10, February.
    4. Anthony Medford & Sergi Trias-Llimós, 2020. "Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(19), pages 533-544.
    5. Guogui Huang & Fei Guo, 2022. "Loss of life expectancy due to respiratory infectious diseases: findings from the global burden of disease study in 195 countries and territories 1990–2017," Journal of Population Research, Springer, vol. 39(1), pages 1-43, March.
    6. Dorn, Florian & Lange, Berit & Braml, Martin & Gstrein, David & Nyirenda, John L.Z. & Vanella, Patrizio & Winter, Joachim & Fuest, Clemens & Krause, Gérard, 2023. "The challenge of estimating the direct and indirect effects of COVID-19 interventions – Toward an integrated economic and epidemiological approach," Economics & Human Biology, Elsevier, vol. 49(C).
    7. Simona Bignami-Van Assche & Daniela Ghio, 2022. "Comparing COVID-19 fatality across countries: a synthetic demographic indicator," Journal of Population Research, Springer, vol. 39(4), pages 513-525, December.
    8. John Creedy & S. Subramanian, 2022. "Mortality Comparisons ‘At a Glance’: A Mortality Concentration Curve and Decomposition Analysis for India," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 873-894, November.
    9. Till Nikolka & Christina Boll, 2020. "Großelternbetreuung und COVID-19 [Grandparent care and COVID-19]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(12), pages 976-978, December.
    10. Ronja Demel & Francesco Grassi & Yasaman Rafiee & Michael R. Waldmann & Annekathrin Schacht, 2022. "How German and Italian Laypeople Reason about Distributive Shortages during COVID-19," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    11. Patrizio Vanella & Ugofilippo Basellini & Berit Lange, 2020. "Assessing Excess Mortality in Times of Pandemics Based on Principal Component Analysis of Weekly Mortality Data -- The Case of COVID-19," Working Papers axbhmxrs-o0viyh9z07m, French Institute for Demographic Studies.
    12. Bruno Arpino & Marta Pasqualini & Valeria Bordone, 2021. "Physically distant but socially close? Changes in non-physical intergenerational contacts at the onset of the COVID-19 pandemic among older people in France, Italy and Spain," European Journal of Ageing, Springer, vol. 18(2), pages 185-194, June.
    13. Héctor Pifarré i Arolas & Enrique Acosta & Christian Dudel & Jo M. Hale & Mikko Myrskylä, 2021. "U.S. racial/ethnic mortality gap adjusted for population structure," MPIDR Working Papers WP-2021-023, Max Planck Institute for Demographic Research, Rostock, Germany.
    14. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2021. "Local mortality estimates during the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1189-1217, October.
    15. Arpino, Bruno & Pasqualini, Marta & Bordone, Valeria & Solé-Auró, Aïda, 2020. "Indirect consequences of COVID-19 on people’s lives. Findings from an on-line survey in France, Italy and Spain," SocArXiv 4sfv9, Center for Open Science.
    16. Minu Philip & Debraj Ray & S. Subramanian, 2021. "Decoding India's Low Covid-19 Case Fatality Rate," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 22(1), pages 27-51, January.
    17. Dimitrios Tsiotas & Vassilis Tselios, 2021. "Understanding the uneven spread of COVID-19 in the context of the global interconnected economy," Papers 2101.11036, arXiv.org.
    18. Beatriz González López-Valcárcel & Guillem López-Casanovas, 2022. "Economic factors behind the pandemic deaths. A regional perspective," Working Papers. Collection A: Public economics, governance and decentralization 2213, Universidade de Vigo, GEN - Governance and Economics research Network.
    19. Emilio Paolo Visintin & Alessandra Tasso, 2022. "Are You Willing to Protect the Health of Older People? Intergenerational Contact and Ageism as Predictors of Attitudes toward the COVID-19 Vaccination Passport," IJERPH, MDPI, vol. 19(17), pages 1-13, September.
    20. Cristini, Annalisa & Trivin, Pedro, 2022. "Close encounters during a pandemic: Social habits and inter-generational links in the first two waves of COVID-19," Economics & Human Biology, Elsevier, vol. 47(C).

    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:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:wpaper:wp-2020-032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Wilhelm (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.