UNIVERSITE
Laureen Ribassin-Majed (MAP5, Université Paris Descartes et CNRS)
Modélisation de la transmission des infections à Papillomavirus. Effets de la vaccination
Background : Seventy percent of sexually active individuals will be infected with Human Papillomavirus (HPV) during their lifetime. These infections are incriminated for almost all cervical cancers. In France, 3,068 new cases of cervical cancer and 1,067 deaths from cervical cancer occurred in 2005. Two vaccines against HPV infections are currently available and vaccination policies aim to decrease the incidence of HPV infections and of cervical cancers. In France, vaccine coverage has been reported to be low.
Methods : We developed a dynamic model for the heterosexual transmission of Human Papillomavirus types 16 and 18, which are covered by available vaccines. A deterministic model was used with stratification on gender, age and sexual behavior. Immunity obtained from vaccination was taken into account. The model was calibrated using French data of cervical cancer incidence. Results : In view of current vaccine coverage and screening, we expected a 32% and 83% reduction in the incidence of cervical cancers due to HPV 16/18, after 20 years and 50 years of vaccine introduction respectively. Vaccine coverage and screening rates were assumed to be constant. However, increasing vaccine coverage in women or vaccinating girls before 14 showed a better impact on cervical cancer incidence. On the other hand, performing vaccination in men improves the effect on cervical cancer incidence only moderately, compared to strategies in females only.
Conclusion : While current vaccination policies may significantly decrease cervical cancer incidence, other supplementary strategies in females could be considered in order to improve vaccination efficacy.
Dans la même rubrique :
- Ségolen Geffray (IRMA, UMR 7501, Université de Strasbourg)
- Bertrand Michel (LSTA, Université Pierre et Marie Curie)
- Van Hanh Nguyen (Laboratoire Statistique et Génome, Université d’Evry et Université Paris-Sud 11)
- Tristan Mary-Huard (AgroParisTech, UMR INRA/AgroParisTech MIA 518)
- Vittorio Perduca (MAP5, Université Paris Descartes)
- Yves Rozenholc (Université Paris Descartes)
- Sébastien Gerchinovitz (DMA, Ecole normale supérieure et Université Paris-Sud)
- Maud Delattre (Laboratoire de Mathématiques, Université Paris Sud)
- Serge Cohen (CNRS/UPS3352 IPANEMA / Synchrotron SOLEIL)
- Julien Stirnemann (MAP5, Maternité et médecine materno-foetale, GHU Necker-Enfants Malades, Université Paris Descartes et CNRS)
- Aurélie Fischer (MAP5 et LSTA, Universités Paris Descartes et Pierre et Marie Curie)
- Anne-Cécile Dragon (CEBC et MAP5, Université Paris Descartes et CNRS)
- Niels Keiding (Department of Biostatistics, University of Copenhagen)
- Christophe Pouzat (Laboratoire de Physiologie Cérébrale, Université Paris Descartes)
- Gaëlle Chagny (MAP5, Université Paris Descartes)
- Marc Vincent (Bases moléculaires de la réponse aux xénobiotiques, UMR-S775, Université Paris Descartes)
- Aurélien Garivier (LTCI Telecom ParisTech, CNRS UMR 5141)
- Pierre Neuvial (Laboratoire Statistique et Génome, Évry, UMR CNRS 8071/Université d’Evry/INRA)
- Simon Cauchemez (School of Public Health and Imperial College, London)
- Meïli Baragatti (IML, université de la Méditerranée et Ipsogen)
