Type-specific human papillomavirus biological features: validated model-based estimates.

Infection with high-risk (hr) human papillomavirus (HPV) is considered the necessary cause of cervical cancer. Vaccination against HPV16 and 18 types, which are responsible of about 75% of cervical cancer worldwide, is expected to have a major global impact on cervical cancer occurrence. Valid estim...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Iacopo Baussano, K Miriam Elfström, Fulvio Lazzarato, Anna Gillio-Tos, Laura De Marco, Francesca Carozzi, Annarosa Del Mistro, Joakim Dillner, Silvia Franceschi, Guglielmo Ronco
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/46ff739ba09b45d58b04208aebf1321c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:46ff739ba09b45d58b04208aebf1321c
record_format	dspace
spelling	oai:doaj.org-article:46ff739ba09b45d58b04208aebf1321c2021-11-18T08:44:04ZType-specific human papillomavirus biological features: validated model-based estimates.1932-620310.1371/journal.pone.0081171https://doaj.org/article/46ff739ba09b45d58b04208aebf1321c2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24400036/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Infection with high-risk (hr) human papillomavirus (HPV) is considered the necessary cause of cervical cancer. Vaccination against HPV16 and 18 types, which are responsible of about 75% of cervical cancer worldwide, is expected to have a major global impact on cervical cancer occurrence. Valid estimates of the parameters that regulate the natural history of hrHPV infections are crucial to draw reliable projections of the impact of vaccination. We devised a mathematical model to estimate the probability of infection transmission, the rate of clearance, and the patterns of immune response following the clearance of infection of 13 hrHPV types. To test the validity of our estimates, we fitted the same transmission model to two large independent datasets from Italy and Sweden and assessed finding consistency. The two populations, both unvaccinated, differed substantially by sexual behaviour, age distribution, and study setting (screening for cervical cancer or Chlamydia trachomatis infection). Estimated transmission probability of hrHPV types (80% for HPV16, 73%-82% for HPV18, and above 50% for most other types); clearance rates decreasing as a function of time since infection; and partial protection against re-infection with the same hrHPV type (approximately 20% for HPV16 and 50% for the other types) were similar in the two countries. The model could accurately predict the HPV16 prevalence observed in Italy among women who were not infected three years before. In conclusion, our models inform on biological parameters that cannot at the moment be measured directly from any empirical data but are essential to forecast the impact of HPV vaccination programmes.Iacopo BaussanoK Miriam ElfströmFulvio LazzaratoAnna Gillio-TosLaura De MarcoFrancesca CarozziFrancesca CarozziAnnarosa Del MistroJoakim DillnerSilvia FranceschiGuglielmo RoncoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e81171 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Iacopo Baussano K Miriam Elfström Fulvio Lazzarato Anna Gillio-Tos Laura De Marco Francesca Carozzi Francesca Carozzi Annarosa Del Mistro Joakim Dillner Silvia Franceschi Guglielmo Ronco Type-specific human papillomavirus biological features: validated model-based estimates.
description	Infection with high-risk (hr) human papillomavirus (HPV) is considered the necessary cause of cervical cancer. Vaccination against HPV16 and 18 types, which are responsible of about 75% of cervical cancer worldwide, is expected to have a major global impact on cervical cancer occurrence. Valid estimates of the parameters that regulate the natural history of hrHPV infections are crucial to draw reliable projections of the impact of vaccination. We devised a mathematical model to estimate the probability of infection transmission, the rate of clearance, and the patterns of immune response following the clearance of infection of 13 hrHPV types. To test the validity of our estimates, we fitted the same transmission model to two large independent datasets from Italy and Sweden and assessed finding consistency. The two populations, both unvaccinated, differed substantially by sexual behaviour, age distribution, and study setting (screening for cervical cancer or Chlamydia trachomatis infection). Estimated transmission probability of hrHPV types (80% for HPV16, 73%-82% for HPV18, and above 50% for most other types); clearance rates decreasing as a function of time since infection; and partial protection against re-infection with the same hrHPV type (approximately 20% for HPV16 and 50% for the other types) were similar in the two countries. The model could accurately predict the HPV16 prevalence observed in Italy among women who were not infected three years before. In conclusion, our models inform on biological parameters that cannot at the moment be measured directly from any empirical data but are essential to forecast the impact of HPV vaccination programmes.
format	article
author	Iacopo Baussano K Miriam Elfström Fulvio Lazzarato Anna Gillio-Tos Laura De Marco Francesca Carozzi Francesca Carozzi Annarosa Del Mistro Joakim Dillner Silvia Franceschi Guglielmo Ronco
author_facet	Iacopo Baussano K Miriam Elfström Fulvio Lazzarato Anna Gillio-Tos Laura De Marco Francesca Carozzi Francesca Carozzi Annarosa Del Mistro Joakim Dillner Silvia Franceschi Guglielmo Ronco
author_sort	Iacopo Baussano
title	Type-specific human papillomavirus biological features: validated model-based estimates.
title_short	Type-specific human papillomavirus biological features: validated model-based estimates.
title_full	Type-specific human papillomavirus biological features: validated model-based estimates.
title_fullStr	Type-specific human papillomavirus biological features: validated model-based estimates.
title_full_unstemmed	Type-specific human papillomavirus biological features: validated model-based estimates.
title_sort	type-specific human papillomavirus biological features: validated model-based estimates.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/46ff739ba09b45d58b04208aebf1321c
work_keys_str_mv	AT iacopobaussano typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT kmiriamelfstrom typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT fulviolazzarato typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT annagilliotos typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT laurademarco typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT francescacarozzi typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT francescacarozzi typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT annarosadelmistro typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT joakimdillner typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT silviafranceschi typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates AT guglielmoronco typespecifichumanpapillomavirusbiologicalfeaturesvalidatedmodelbasedestimates
_version_	1718421380276420608

Type-specific human papillomavirus biological features: validated model-based estimates.

Ejemplares similares