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

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 compare...

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Autores principales: Baussano, Iacopo, Dillner, Joakim, Lazzarato, Fulvio, Ronco, Guglielmo, Franceschi, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901332/
https://www.ncbi.nlm.nih.gov/pubmed/24438317
http://dx.doi.org/10.1186/1750-9378-9-4
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author Baussano, Iacopo
Dillner, Joakim
Lazzarato, Fulvio
Ronco, Guglielmo
Franceschi, Silvia
author_facet Baussano, Iacopo
Dillner, Joakim
Lazzarato, Fulvio
Ronco, Guglielmo
Franceschi, Silvia
author_sort Baussano, Iacopo
collection PubMed
description 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.
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spelling pubmed-39013322014-01-25 Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model Baussano, Iacopo Dillner, Joakim Lazzarato, Fulvio Ronco, Guglielmo Franceschi, Silvia Infect Agent Cancer Research Article 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. BioMed Central 2014-01-20 /pmc/articles/PMC3901332/ /pubmed/24438317 http://dx.doi.org/10.1186/1750-9378-9-4 Text en Copyright © 2014 Baussano et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Baussano, Iacopo
Dillner, Joakim
Lazzarato, Fulvio
Ronco, Guglielmo
Franceschi, Silvia
Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
title Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
title_full Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
title_fullStr Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
title_full_unstemmed Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
title_short Upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
title_sort upscaling human papillomavirus vaccination in high-income countries: impact assessment based on transmission model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901332/
https://www.ncbi.nlm.nih.gov/pubmed/24438317
http://dx.doi.org/10.1186/1750-9378-9-4
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