IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v159y2025ics0168851025001423.html
   My bibliography  Save this article

Policy makers must adopt agile signal detection tools to strengthen epidemiological surveillance and improve pandemic preparedness

Author

Listed:
  • Mahé, Cédric
  • Kannt, Aimo

Abstract

The SARS-COV2 pandemic has highlighted the urgent need for agile and responsive disease surveillance systems. To strengthen epidemiological surveillance and improve pandemic preparedness, policymakers must adopt real-time signal detection tools that integrate multisource data, including non-traditional health data, advanced analytics, and artificial intelligence (AI). Such approaches enable more efficient monitoring and decision-making through collaborative networks. Expanding these agile tools across Europe under a supranational mandate would enhance public health outcomes, support healthcare system efficiency, and increase business resilience. Leveraging private sector data and ensuring modularity for gradual scale-up are essential to maintaining adaptability and responsiveness.

Suggested Citation

  • Mahé, Cédric & Kannt, Aimo, 2025. "Policy makers must adopt agile signal detection tools to strengthen epidemiological surveillance and improve pandemic preparedness," Health Policy, Elsevier, vol. 159(C).
    • Handle: RePEc:eee:hepoli:v:159:y:2025:i:c:s0168851025001423
    DOI: 10.1016/j.healthpol.2025.105386
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851025001423
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.healthpol.2025.105386?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:hepoli:v:159:y:2025:i:c:s0168851025001423. 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: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.