IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0262846.html
   My bibliography  Save this article

Life expectancy drop in 2020. Estimates based on Human Mortality Database

Author

Listed:
  • Stefano Mazzuco
  • Stefano Campostrini

Abstract

In many countries of the world, COVID–19 pandemic has led to exceptional changes in mortality trends. Some studies have tried to quantify the effects of Covid-19 in terms of a reduction in life expectancy at birth in 2020. However, these estimates might need to be updated now that, in most countries, the mortality data for the whole year are available. We used data from the Human Mortality Database (HMD) Short-Term Mortality Fluctuations (STMF) data series to estimate life expectancy in 2020 for several countries. The changes estimated using these data and the appropriate methodology seem to be more pessimistic than those that have been proposed so far: life expectancy dropped in the Russia by 2.16 years, 1.85 in USA, and 1.27 in England and Wales. The differences among countries are substantial: many countries (e.g. Denmark, Island, Norway, New Zealand, South Korea) saw a rather limited drop in life expectancy or have even seen an increase in life expectancy.

Suggested Citation

  • Stefano Mazzuco & Stefano Campostrini, 2022. "Life expectancy drop in 2020. Estimates based on Human Mortality Database," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-6, January.
  • Handle: RePEc:plo:pone00:0262846
    DOI: 10.1371/journal.pone.0262846
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0262846
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262846&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0262846?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jonas Schöley & José Manuel Aburto & Ilya Kashnitsky & Maxi S. Kniffka & Luyin Zhang & Hannaliis Jaadla & Jennifer B. Dowd & Ridhi Kashyap, 2022. "Life expectancy changes since COVID-19," Nature Human Behaviour, Nature, vol. 6(12), pages 1649-1659, December.
    2. Sergio Pandolfi & Luigi Valdenassi & Geir Bjørklund & Salvatore Chirumbolo & Roman Lysiuk & Larysa Lenchyk & Monica Daniela Doşa & Serafino Fazio, 2022. "COVID-19 Medical and Pharmacological Management in the European Countries Compared to Italy: An Overview," IJERPH, MDPI, vol. 19(7), pages 1-22, April.

    More about this item

    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:plo:pone00:0262846. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.