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Random Network Models to Predict the Long-Term Impact of HPV Vaccination on Genital Warts
被引:11
|作者:
Diez-Domingo, Javier
[1
]
Sanchez-Alonso, Victor
[2
]
Villanueva, Rafael-J.
[2
]
Acedo, Luis
[2
]
Morano, Jose-Antonio
[2
]
Villanueva-Oller, Javier
[3
]
机构:
[1] FISABIO Publ Hlth, Valencia 46020, Spain
[2] Univ Politecn Valencia, Inst Univ Matemat Multidisciplinar, 8G Bldg,2nd Floor, E-46022 Valencia, Spain
[3] Univ Rey Juan Carlos, Dept Ciencias Comp Arquitectura Comp Lenguajes &, Estadist & Invest Operat, Madrid 28933, Spain
来源:
VIRUSES-BASEL
|
2017年
/
9卷
/
10期
关键词:
human papillomavirus;
network model;
vaccination strategies;
HUMAN-PAPILLOMAVIRUS;
NATURAL-HISTORY;
SPREAD;
HIV;
D O I:
10.3390/v9100300
中图分类号:
Q93 [微生物学];
学科分类号:
071005 ;
100705 ;
摘要:
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 73% in girls with three doses and with coverage rates decreasing with age until 52% for 20-26 year-olds. A fast 59% 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.
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页数:15
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