IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v589y2021i7843d10.1038_d41586-021-00162-4.html
   My bibliography  Save this article

Why did the world’s pandemic warning system fail when COVID hit?

Author

Listed:
  • Amy Maxmen

Abstract

Nearly one year ago, the World Health Organization sounded the alarm about the coronavirus, but was ignored.

Suggested Citation

  • Amy Maxmen, 2021. "Why did the world’s pandemic warning system fail when COVID hit?," Nature, Nature, vol. 589(7843), pages 499-500, January.
  • Handle: RePEc:nat:nature:v:589:y:2021:i:7843:d:10.1038_d41586-021-00162-4
    DOI: 10.1038/d41586-021-00162-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/d41586-021-00162-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/d41586-021-00162-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Algehyne, Ebrahem A. & Ibrahim, Muhammad, 2021. "Fractal-fractional order mathematical vaccine model of COVID-19 under non-singular kernel," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    2. Quan-Hoang Vuong & Tam-Tri Le & Viet-Phuong La & Huyen Thanh Thanh Nguyen & Manh-Toan Ho & Quy Khuc & Minh-Hoang Nguyen, 2022. "Covid-19 vaccines production and societal immunization under the serendipity-mindsponge-3D knowledge management theory and conceptual framework," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    3. Duggan, Jim & Andrade, Jair & Murphy, Thomas Brendan & Gleeson, James P. & Walsh, Cathal & Nolan, Philip, 2024. "An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response," European Journal of Operational Research, Elsevier, vol. 313(1), pages 343-358.

    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:nat:nature:v:589:y:2021:i:7843:d:10.1038_d41586-021-00162-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.