IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v17y2010i2p91-100.html
   My bibliography  Save this article

Estimating the True Incidence of Rubella

Author

Listed:
  • MARCOS AMAKU
  • RAYMUNDO AZEVEDO

Abstract

The true incidence of infectious diseases is difficult to determine from surveillance or from notification data. The proportion of new infections of rubella yields a model from serological surveys. The discrepancy between results and official notification data before vaccination era leads one to suspect the presence of hidden infections. Simulation on 80% of effective vaccination coverage shows a similar discrepancy of the total number of infections compared to notification data.

Suggested Citation

  • Marcos Amaku & Raymundo Azevedo, 2010. "Estimating the True Incidence of Rubella," Mathematical Population Studies, Taylor & Francis Journals, vol. 17(2), pages 91-100.
    • Handle: RePEc:taf:mpopst:v:17:y:2010:i:2:p:91-100
    DOI: 10.1080/08898481003689502
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/08898481003689502
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/08898481003689502?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. Kimberly M. Thompson, 2016. "Evolution and Use of Dynamic Transmission Models for Measles and Rubella Risk and Policy Analysis," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1383-1403, July.
    2. Ricardo Arraes de Alencar Ximenes & Celina Maria Turchi Martelli & Marcos Amaku & Ana Marli C Sartori & Patricia Coelho de Soárez & Hillegonda Maria Dutilh Novaes & Leila Maria Moreira Beltrão Pereira, 2014. "Modelling the Force of Infection for Hepatitis A in an Urban Population-Based Survey: A Comparison of Transmission Patterns in Brazilian Macro-Regions," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-10, May.

    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:taf:mpopst:v:17:y:2010:i:2:p:91-100. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .

    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.