Data from: Characterizing and comparing the seasonality of influenza-like illnesses and invasive pneumococcal diseases using seasonal waveforms

Matthieu Domenech De Cellès, Helene Arduin, Emmanuelle Varon, Cécile Souty, Pierre-Yves Boëlle, Daniel Lévy-Bruhl, Sylvie Van Der Werf, Jean-Claude Soulary, Didier Guillemot, Laurence Watier & Lulla Opatowski
The seasonalities of influenza-like illnesses (ILIs) and invasive pneumococcal diseases (IPDs) remain incompletely understood. Experimental evidence indicates that influenza-virus infection predisposes to pneumococcal disease, so that a correspondence in the seasonal patterns of ILIs and IPDs might exist at the population level. We developed a method to characterize seasonality by means of easily interpretable summary statistics of seasonal shape—or seasonal waveforms. Non-linear mixed-effects models were used to estimate those waveforms based on weekly case reports...

Registration Year

  • 2017
    1

Resource Types

  • Dataset
    1

Affiliations

  • Centre national de la recherche scientifique
    1
  • Santé Publique France
    1
  • Assistance Publique -Hopitaux De Paris
    1
  • Sorbonne University
    1
  • Paris Diderot University
    1
  • Institut Pasteur
    1