Upscaling human papillomavirus vaccination in high-income countries: Impact assessment based on transmission model

16Citations
Citations of this article
42Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: The decrease in human papillomavirus (HPV) vaccine prices may allow upscale already started vaccination programmes but the advantages of different options are unclear. Methods. Using a mathematical model of HPV16 and 18 transmission and data on vaccination coverage from Italy, we compared 3 options to upscale an already started programme targeting 11-year old girls (coverage 65%): a) coverage improvement (from 65% to 90%); b) addition of 11-year-old boys (coverage 65%); or c) 1-year catch-up of older girls (coverage 50%). Results: The reduction of cervical HPV16/18 infection as compared to no vaccination (i.e. effectiveness against HPV16/18) increased from 76% to 98% with coverage improvement in girls and to 90% with the addition of boys. With higher coverage in girls, HPV16/18 infection cumulative probability by age 35 decreased from 25% to 8% with a 38% increase in vaccine number. The addition of boys decreased the cumulative probability to 18% with a 100% increase in the number of vaccinees. For any coverage in girls, the number of vaccinees to prevent 1 woman from being infected by HPV16/18 by age 35 was 1.5, whereas it was 2.7 for the addition of boys. Catch-up of older girls only moved forward the vaccination effectiveness by 2-5 years. Conclusions: Increasing vaccination coverage among girls is the most effective option for decreasing HPV16/18. If not achievable, vaccinating boys is justifiable if vaccine cost has at least halved, because this option would almost double the number of vaccinees. © 2014 Baussano et al.; licensee BioMed Central Ltd.

Cite

CITATION STYLE

APA

Baussano, I., Dillner, J., Lazzarato, F., Ronco, G., & Franceschi, S. (2014). Upscaling human papillomavirus vaccination in high-income countries: Impact assessment based on transmission model. Infectious Agents and Cancer, 9(1). https://doi.org/10.1186/1750-9378-9-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free