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Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts
The Human papillomaviruses (HPV) vaccine induces a herd immunity effect in genital warts when a large number of the population is vaccinated. This aspect should be taken into account when devising new vaccine strategies, like vaccination at older ages or male vaccination. Therefore, it is important...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691651/ https://www.ncbi.nlm.nih.gov/pubmed/29035332 http://dx.doi.org/10.3390/v9100300 |
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author | Díez-Domingo, Javier Sánchez-Alonso, Víctor Villanueva, Rafael-J. Acedo, Luis Moraño, José-Antonio Villanueva-Oller, Javier |
author_facet | Díez-Domingo, Javier Sánchez-Alonso, Víctor Villanueva, Rafael-J. Acedo, Luis Moraño, José-Antonio Villanueva-Oller, Javier |
author_sort | Díez-Domingo, Javier |
collection | PubMed |
description | The Human papillomaviruses (HPV) vaccine induces a herd immunity effect in genital warts when a large number of the population is vaccinated. This aspect should be taken into account when devising new vaccine strategies, like vaccination at older ages or male vaccination. Therefore, it is important to develop mathematical models with good predictive capacities. We devised a sexual contact network that was calibrated to simulate the Spanish epidemiology of different HPV genotypes. Through this model, we simulated the scenario that occurred in Australia in 2007, where 12–13 year-old girls were vaccinated with a three-dose schedule of a vaccine containing genotypes 6 and 11, which protect against genital warts, and also a catch-up program in women up to 26 years of age. Vaccine coverage were [Formula: see text] in girls with three doses and with coverage rates decreasing with age until [Formula: see text] for 20–26 year-olds. A fast [Formula: see text] reduction in the genital warts diagnoses occurred in the model in the first years after the start of the program, similar to what was described in the literature. |
format | Online Article Text |
id | pubmed-5691651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56916512017-11-22 Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts Díez-Domingo, Javier Sánchez-Alonso, Víctor Villanueva, Rafael-J. Acedo, Luis Moraño, José-Antonio Villanueva-Oller, Javier Viruses Article The Human papillomaviruses (HPV) vaccine induces a herd immunity effect in genital warts when a large number of the population is vaccinated. This aspect should be taken into account when devising new vaccine strategies, like vaccination at older ages or male vaccination. Therefore, it is important to develop mathematical models with good predictive capacities. We devised a sexual contact network that was calibrated to simulate the Spanish epidemiology of different HPV genotypes. Through this model, we simulated the scenario that occurred in Australia in 2007, where 12–13 year-old girls were vaccinated with a three-dose schedule of a vaccine containing genotypes 6 and 11, which protect against genital warts, and also a catch-up program in women up to 26 years of age. Vaccine coverage were [Formula: see text] in girls with three doses and with coverage rates decreasing with age until [Formula: see text] for 20–26 year-olds. A fast [Formula: see text] reduction in the genital warts diagnoses occurred in the model in the first years after the start of the program, similar to what was described in the literature. MDPI 2017-10-16 /pmc/articles/PMC5691651/ /pubmed/29035332 http://dx.doi.org/10.3390/v9100300 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Díez-Domingo, Javier Sánchez-Alonso, Víctor Villanueva, Rafael-J. Acedo, Luis Moraño, José-Antonio Villanueva-Oller, Javier Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts |
title | Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts |
title_full | Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts |
title_fullStr | Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts |
title_full_unstemmed | Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts |
title_short | Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts |
title_sort | random network models to predict the long-term impact of hpv vaccination on genital warts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691651/ https://www.ncbi.nlm.nih.gov/pubmed/29035332 http://dx.doi.org/10.3390/v9100300 |
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