title: Models of cervical screening in the era of human papillomavirus vaccination.
abstract: Epidemiologic and economic evaluation using simulation modelling can support complex policy decisions, and is an important tool in predicting the future interaction between human papillomavirus vaccination and cervical screening. Several categories of screening program evaluation are of interest, including: (1) changes to screening considered over the short term, over which the effects of vaccination should be confined to the youngest age groups (<30 years old); (2) the medium and long-term effect of vaccination on the screening program; and (3) changes to screening in context of vaccination. This review considers some of the policy questions in each category and discusses the modelling implications, with particular focus on the Australian context.
authors: Cancer Epidemiology Research Unit, Cancer Council NSW, Woolloomooloo, NSW 2010, Australia. karenc@nswcc.org.au
authors: Karen
authors: K
authors: Canfell
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D001315:Australia; D002648:Child; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008403:Mass Screening / Q000706:statistics & numerical data*; D032541:Mass Vaccination / Q000706:statistics & numerical data*; D008875:Middle Aged; D008962:Models, Theoretical; D030361:Papillomavirus Infections / Q000453:epidemiology* / Q000517:prevention & control*; D053918:Papillomavirus Vaccines / Q000008:administration & dosage*; D015397:Program Evaluation / Q000706:statistics & numerical data; D015229:Sexually Transmitted Diseases, Viral / Q000453:epidemiology* / Q000517:prevention & control*; D002583:Uterine Cervical Neoplasms / Q000453:epidemiology* / Q000517:prevention & control*; D014626:Vaginal Smears / Q000706:statistics & numerical data*; D055815:Young Adult
chemical_list: D053918:Papillomavirus Vaccines