IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v600y2021i7890d10.1038_d41586-021-03794-8.html
   My bibliography  Save this article

How severe are Omicron infections?

Author

Listed:
  • Heidi Ledford

Abstract

As cases spread and countries plan their response, researchers await crucial data on the severity of the disease caused by the coronavirus variant.

Suggested Citation

  • Heidi Ledford, 2021. "How severe are Omicron infections?," Nature, Nature, vol. 600(7890), pages 577-578, December.
    • Handle: RePEc:nat:nature:v:600:y:2021:i:7890:d:10.1038_d41586-021-03794-8
    DOI: 10.1038/d41586-021-03794-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/d41586-021-03794-8
    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/d41586-021-03794-8?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. Nicolas Prost & Etienne Audureau & Nicholas Heming & Elyanne Gault & Tài Pham & Amal Chaghouri & Nina Montmollin & Guillaume Voiriot & Laurence Morand-Joubert & Adrien Joseph & Marie-Laure Chaix & Séb, 2022. "Clinical phenotypes and outcomes associated with SARS-CoV-2 variant Omicron in critically ill French patients with COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Fanglei Zuo & Hassan Abolhassani & Likun Du & Antonio Piralla & Federico Bertoglio & Leire Campos-Mata & Hui Wan & Maren Schubert & Irene Cassaniti & Yating Wang & Josè Camilla Sammartino & Rui Sun & , 2022. "Heterologous immunization with inactivated vaccine followed by mRNA-booster elicits strong immunity against SARS-CoV-2 Omicron variant," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. Catherine Park & Shahriar Tavakoli-Tabasi & Amir Sharafkhaneh & Benjamin J. Seligman & Bret Hicken & Christopher I. Amos & Andrew Chou & Javad Razjouyan, 2023. "Inflammatory Biomarkers Differ among Hospitalized Veterans Infected with Alpha, Delta, and Omicron SARS-CoV-2 Variants," IJERPH, MDPI, vol. 20(4), pages 1-11, February.

    More about this item

    Keywords

    Virology; SARS-CoV-2;

    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:nat:nature:v:600:y:2021:i:7890:d:10.1038_d41586-021-03794-8. 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.