IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p17048-d1007652.html
   My bibliography  Save this article

Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study)

Author

Listed:
  • M. Rosa Dalmau Llorca

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain
    Campus Terres de l’Ebre, Universitat Rovira i Virgili, 43500 Tortosa, Spain
    These authors contributed equally to this work.)

  • Elisabet Castro Blanco

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Campus Terres de l’Ebre, Universitat Rovira i Virgili, 43500 Tortosa, Spain
    Terres de l’Ebre Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), 43500 Tortosa, Spain
    These authors contributed equally to this work.)

  • Carina Aguilar Martín

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain
    Unitat d’Avaluació, Direcció d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain
    These authors contributed equally to this work.)

  • Noèlia Carrasco-Querol

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Terres de l’Ebre Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), 43500 Tortosa, Spain
    These authors contributed equally to this work.)

  • Zojaina Hernández Rojas

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain
    Campus Terres de l’Ebre, Universitat Rovira i Virgili, 43500 Tortosa, Spain)

  • Alessandra Queiroga Gonçalves

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain)

  • José Fernández-Sáez

    (Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l’Ebre, 43500 Tortosa, Spain
    Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain
    Campus Terres de l’Ebre, Universitat Rovira i Virgili, 43500 Tortosa, Spain
    Unitat de Recerca, Gerència Territorial Terres de l’Ebre, Institut Català de la Salut, 43500 Tortosa, Spain)

Abstract

Sentinel physician networks are the method of influenza surveillance recommended by the World Health Organization. Weekly clinical diagnoses based on clinical history are a surveillance method that provides more immediate information. The objective of this study is to evaluate which influenza surveillance system is capable of the earliest detection of the start of the annual influenza epidemic. We carried out an ecological time-series study based on influenza data from the population of Catalonia from the 2010–2011 to the 2018–2019 seasons. Rates of clinical diagnoses and of confirmed cases in Catalonia were used to study the changes in trends in the different surveillance systems, the differences in area and time lag between the curves of the different surveillance systems using Joinpoint regression, Simpson’s 1/3 method and cross-correlation, respectively. In general, changes in the trend of the curves were detected before the beginning of the epidemic in most seasons, using the rates for the complete seasons and the pre-epidemic rates. No time lag was observed between clinical diagnoses and the total confirmed cases. Therefore, clinical diagnoses in Primary Care could be a useful tool for early detection of the start of influenza epidemics in Catalonia.

Suggested Citation

  • M. Rosa Dalmau Llorca & Elisabet Castro Blanco & Carina Aguilar Martín & Noèlia Carrasco-Querol & Zojaina Hernández Rojas & Alessandra Queiroga Gonçalves & José Fernández-Sáez, 2022. "Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study)," IJERPH, MDPI, vol. 19(24), pages 1-13, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:17048-:d:1007652
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/17048/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/24/17048/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krieger, N. & Chen, J.T. & Waterman, P.D., 2010. "Decline in US breast cancer rates after the Women's Health Initiative: Socioeconomic and racial/ethnic differentials," American Journal of Public Health, American Public Health Association, vol. 100(S1), pages 132-139.
    2. Carina Aguilar Martín & Mª Rosa Dalmau Llorca & Elisabet Castro Blanco & Noèlia Carrasco-Querol & Zojaina Hernández Rojas & Emma Forcadell Drago & Dolores Rodríguez Cumplido & Alessandra Queiroga Gonç, 2022. "Concordance between the Clinical Diagnosis of Influenza in Primary Care and Epidemiological Surveillance Systems (PREVIGrip Study)," IJERPH, MDPI, vol. 19(3), pages 1-12, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:gam:jijerp:v:19:y:2022:i:24:p:17048-:d:1007652. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.