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Impacts of human papillomavirus vaccination for different populations: A modeling study

International variations in the prevalence of HPV infection derive from differences in sexual behaviors, which are also a key factor of the basic reproductive number (R(0)) of HPV infection in different populations. R (0) affects the strength of herd protection and hence the impact of a vaccination...

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Autores principales: Baussano, Iacopo, Lazzarato, Fulvio, Ronco, Guglielmo, Franceschi, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099330/
https://www.ncbi.nlm.nih.gov/pubmed/29603224
http://dx.doi.org/10.1002/ijc.31409
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author Baussano, Iacopo
Lazzarato, Fulvio
Ronco, Guglielmo
Franceschi, Silvia
author_facet Baussano, Iacopo
Lazzarato, Fulvio
Ronco, Guglielmo
Franceschi, Silvia
author_sort Baussano, Iacopo
collection PubMed
description International variations in the prevalence of HPV infection derive from differences in sexual behaviors, which are also a key factor of the basic reproductive number (R(0)) of HPV infection in different populations. R (0) affects the strength of herd protection and hence the impact of a vaccination program. Similar vaccination programs may therefore generate different levels of impact depending upon the population's pre‐vaccination HPV prevalence. We used IARC's transmission model to estimate (i) the overall effectiveness of vaccination versus no vaccination in women aged 15–34 years measured as percent prevalence reduction (%PR) of HPV16 and (ii) the corresponding herd protection in populations with gender‐equal or traditional sexual behavior and with different levels of sexual activity, corresponding to pre‐vaccination HPV16 prevalence from 1 to 8% as observed worldwide. Between populations with different levels of gender‐equal sexual activity, the highest difference in %PR under girls‐only vaccination is observed at 40% coverage (91%PR vs. 48%PR for 1% and 8% pre‐vaccination prevalence, respectively). HPV16 elimination is obtained with 55 and 97% coverage, respectively. To achieve desirable levels of HPV16 prevalence after vaccination, different levels of coverage are required in populations with different levels of pre‐vaccination HPV16 prevalence, for example, in populations with gender‐equal sexual behavior a decrease to 1/1000 HPV16 from pre‐vaccination prevalence of 1 and 8% would require coverages of 37 and 96%, respectively. In traditional populations, corresponding coverages would need to be 28 and 93%, respectively. In conclusion, pre‐vaccination HPV prevalence strongly influences herd immunity and helps predict the overall effectiveness of HPV vaccination.
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spelling pubmed-60993302018-08-23 Impacts of human papillomavirus vaccination for different populations: A modeling study Baussano, Iacopo Lazzarato, Fulvio Ronco, Guglielmo Franceschi, Silvia Int J Cancer Cancer Epidemiology International variations in the prevalence of HPV infection derive from differences in sexual behaviors, which are also a key factor of the basic reproductive number (R(0)) of HPV infection in different populations. R (0) affects the strength of herd protection and hence the impact of a vaccination program. Similar vaccination programs may therefore generate different levels of impact depending upon the population's pre‐vaccination HPV prevalence. We used IARC's transmission model to estimate (i) the overall effectiveness of vaccination versus no vaccination in women aged 15–34 years measured as percent prevalence reduction (%PR) of HPV16 and (ii) the corresponding herd protection in populations with gender‐equal or traditional sexual behavior and with different levels of sexual activity, corresponding to pre‐vaccination HPV16 prevalence from 1 to 8% as observed worldwide. Between populations with different levels of gender‐equal sexual activity, the highest difference in %PR under girls‐only vaccination is observed at 40% coverage (91%PR vs. 48%PR for 1% and 8% pre‐vaccination prevalence, respectively). HPV16 elimination is obtained with 55 and 97% coverage, respectively. To achieve desirable levels of HPV16 prevalence after vaccination, different levels of coverage are required in populations with different levels of pre‐vaccination HPV16 prevalence, for example, in populations with gender‐equal sexual behavior a decrease to 1/1000 HPV16 from pre‐vaccination prevalence of 1 and 8% would require coverages of 37 and 96%, respectively. In traditional populations, corresponding coverages would need to be 28 and 93%, respectively. In conclusion, pre‐vaccination HPV prevalence strongly influences herd immunity and helps predict the overall effectiveness of HPV vaccination. John Wiley and Sons Inc. 2018-04-16 2018-09-01 /pmc/articles/PMC6099330/ /pubmed/29603224 http://dx.doi.org/10.1002/ijc.31409 Text en © 2018 International Agency for Research on Cancer (IARC/WHO); licensed by UICC This is an open access article distributed under the terms of the Creative Commons Attribution IGO License IARC's preferred IGO license is the non‐commercial: https://creativecommons.org/licenses/by-nc./3.0/igo/legalcode which permits non‐commercial unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited. In any reproduction of this article there should not be any suggestion that IARC/WHO or the article endorse any specific organization or products. The use of the IARC/WHO logo is not permitted. This notice should be preserved along with the article's URL.
spellingShingle Cancer Epidemiology
Baussano, Iacopo
Lazzarato, Fulvio
Ronco, Guglielmo
Franceschi, Silvia
Impacts of human papillomavirus vaccination for different populations: A modeling study
title Impacts of human papillomavirus vaccination for different populations: A modeling study
title_full Impacts of human papillomavirus vaccination for different populations: A modeling study
title_fullStr Impacts of human papillomavirus vaccination for different populations: A modeling study
title_full_unstemmed Impacts of human papillomavirus vaccination for different populations: A modeling study
title_short Impacts of human papillomavirus vaccination for different populations: A modeling study
title_sort impacts of human papillomavirus vaccination for different populations: a modeling study
topic Cancer Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099330/
https://www.ncbi.nlm.nih.gov/pubmed/29603224
http://dx.doi.org/10.1002/ijc.31409
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