IDEAS home Printed from https://ideas.repec.org/a/aph/ajpbhl/199383121712-1716_8.html
   My bibliography  Save this article

Estimates of the US health impact of influenza

Author

Listed:
  • Sullivan, K.M.
  • Monto, A.S.
  • Longini Jr., I.M.

Abstract

Objectives. Data from the Tecumseh Community Health Study were used to estimate excess morbidity owing to influenza, and results were compared with estimates made previously using different methodology for an Institute of Medicine report. Methods. Study participants from Tecumseh, Michigan, were classified as infected or noninfected based on laboratory results. The excess numbers of respiratory illnesses, respiratory illness days, and bed and restricted activity days experienced by the infected compared with the noninfected were estimated. Results. The number of excess influenza-related respiratory illnesses was lower than that estimated in the Institute of Medicine report, in which all illnesses of certain characteristics occurring during an influenza season were attributed to influenza. It is now estimated that the US population under 20 years of age experiences a yearly average of 13.8 to 16.0 million influenza-related excess respiratory illnesses; for older individuals, the yearly estimate is 4.1 to 4.4 million excess illnesses. Conclusions. For public health purposes, estimates of excess morbidity as well as of total morbidity associated with influenza should be used in setting health priorities.

Suggested Citation

  • Sullivan, K.M. & Monto, A.S. & Longini Jr., I.M., 1993. "Estimates of the US health impact of influenza," American Journal of Public Health, American Public Health Association, vol. 83(12), pages 1712-1716.
  • Handle: RePEc:aph:ajpbhl:1993:83:12:1712-1716_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Erin J. Kelley & Sierra N. Henson & Fatima Rahee & Annalee S. Boyle & Anna L. Engelbrektson & Georgia A. Nelson & Heather L. Mead & N. Leigh Anderson & Morteza Razavi & Richard Yip & Jason T. Ladner &, 2023. "Virome-wide detection of natural infection events and the associated antibody dynamics using longitudinal highly-multiplexed serology," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

    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:aph:ajpbhl:1993:83:12:1712-1716_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: Christopher F Baum (email available below). General contact details of provider: https://www.apha.org .

    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.