Longitudinal Analysis of Short-Term Bronchiolitis Air Pollution Association Using Semiparametric Models

  • Sylvie Willems
  • Claire Segala
  • Manuel Maidenberg
  • Mounir Mesbah
Part of the Statistics for Industry and Technology book series (SIT)


The first aim of this work is to clearly present a very popular semiparametric methodology often used to estimate the association between death or hospital counting data and pollution data and to estimate short-term effects of ambient air pollution on infant bronchiolitis hospital consultations. Infant bronchiolitis is a frequent infectious disease caused by a virus, the syncethial respiratory virus (RSV). Normally, contact with this virus is responsible for a cold, but in infant and in some circumstances, especially at the beginning of winter, the virus can be responsible for a severe respiratory disease which can lead to numerous hospital consultations and hospitalizations. A critical comparison of its practical application using S-Plus, R, or SAS Proc Gam is performed. It appears that more work is needed to get a satisfactory implementation of the Schwartz method in SAS with similar results to those in S-Plus or R.

Keywords and phrases

GAM model air pollution semiparametric models 


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  1. 1.
    Biggeri, A., Baccini, M., Accetta, G., and Lagazio C. (2002). Estimates of short-term effects of air pollutants in Italy, Epidemiologia e Prevenzione, 26, 203–205 (in Italian).Google Scholar
  2. 2.
    Dominici, F., McDermott, A., Zeger, S. L., and Samet, J. (2002). On the use of generalized additive models in times-series studies of air pollution and health, American Journal of Epidemiology, 156, 193.CrossRefGoogle Scholar
  3. 3.
    Hastie, T. J. and Tibshirani, R. J. (1990). Generalized Additive Models, Chapman & Hall, London.zbMATHGoogle Scholar
  4. 4.
    Health Effects Institute, (2003). Revised Analyses of Time-Series Studies of Air Pollution and Health, Boston, Massachusetts.Google Scholar
  5. 5.
    Le Tertre, A. (2003). Personal Communication, INVS, Paris.Google Scholar
  6. 6.
    Ramsay, T. O., Burnett, R. T., and Krewski, D. (2003). The effect of concurvity in generalized additive models linking mortality to ambient particulate matter, Epidemiology, 14, 18–23.CrossRefGoogle Scholar
  7. 7.
    Samet, J. M., Dominici, F., McDermott, A., and Zeger, S. L. (2003). New problems for an old design: Time series analyses of air pollution and health, Epidemiology, 14, 11–17.CrossRefGoogle Scholar
  8. 8.
    SAS Stat Documentation (2001). Chapter 4: The GAM Procedure Release 8.1.Google Scholar
  9. 9.
    Schwartz, J., Spix, C., Touloumi, G., Bacharova, L., Barumamdzadeh, T., Le Tertre, A., Piekarski, T., Leon, A. P., Pönka, A., Rossi, G., Saez, M., Schouten, J. P. (1996). Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions, Journal of Epidemiology and Community Health, 50(Sup. 1), S3–S11.CrossRefGoogle Scholar
  10. 10.
    Thélot, B., Bénichou, J. J., Cheron, G., Chevalier, B., Begué, P., and Bourrillon, A. (1998). Surveillance épidémiologique hospitalière de la bronchiolite du nourisson par le réseau ERBUS, Revue d’Epidemiologie et de Santé Publique, 46, 277–288.Google Scholar
  11. 11.
    Tual, S. (2003). Rapport de stage, Etude de l’impact des facteurs environnementaux extérieurs et des facteurs de susceptibilité individuelle dans la survenue d’affections respiratoires et cardio-vasculaires, Rapport de stage, IUT Statitisque et Informatique de Vannes, Vannes, France.Google Scholar
  12. 12.
    Xiang, D. (2002). Fitting generalized additive models with the GAM procedure, In Statistics, Data Analysis, and Data Mining, SUGI Proceeding.Google Scholar

Copyright information

© Birkhäuser Boston 2007

Authors and Affiliations

  • Sylvie Willems
    • 1
  • Claire Segala
    • 1
  • Manuel Maidenberg
    • 2
  • Mounir Mesbah
    • 3
  1. 1.SEPIA-SANTEMelrandFrance
  2. 2.RESPIRERParisFrance
  3. 3.LSTAUniversité de Pierre et Marie CurieParisFrance

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