Literature DB >> 22265859

Monitoring HPV type-specific prevalence over time through clinic-based surveillance: a perspective on vaccine effectiveness.

N H Gaffga1, E W Flagg, H S Weinstock, J C Shlay, K G Ghanem, L A Koutsky, P R Kerndt, K K Hsu, E R Unger, S D Datta.   

Abstract

We investigated the feasibility of monitoring trends in prevalence of vaccine-preventable human papillomavirus (HPV) types in different clinic populations. We collected cervical specimens from women presenting to family planning, primary care, and sexually transmitted disease (STD) clinics for routine pap smears in five US cities during 2003-2005. We performed HPV genotyping and calculated annual type-specific prevalences; pre-vaccine era prevalence was highest for HPV 16 (6.0; 95% confidence interval [CI] 5.5-6.6%) and annual prevalences for vaccine-preventable types were stable, with few exceptions, after controlling for clinic type, age group, and city. With sufficient sample size and stable population characteristics, clinic-based surveillance systems can contribute to monitoring HPV vaccine impact in the cervical screening population. Published by Elsevier Ltd.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22265859     DOI: 10.1016/j.vaccine.2012.01.021

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  3 in total

1.  Changing patterns of anal canal carcinoma in the United States.

Authors:  Rebecca A Nelson; Alexandra M Levine; Leslie Bernstein; David D Smith; Lily L Lai
Journal:  J Clin Oncol       Date:  2013-03-18       Impact factor: 44.544

2.  Modeling the impact of quadrivalent HPV vaccination on the incidence of Pap test abnormalities in the United States.

Authors:  Harrell W Chesson; Elaine W Flagg; Laura Koutsky; Katherine Hsu; Elizabeth R Unger; Judith C Shlay; Peter Kerndt; Khalil G Ghanem; Jonathan M Zenilman; Michael Hagensee; Hillard Weinstock; S Deblina Datta
Journal:  Vaccine       Date:  2013-05-10       Impact factor: 3.641

3.  Comparison of DNA testing strategies in monitoring human papillomavirus infection prevalence through simulation.

Authors:  Carol Y Lin; Ling Li
Journal:  BMC Infect Dis       Date:  2016-11-07       Impact factor: 3.090

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.