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2005
IEEE

Predicting Human Papilloma Virus Prevalence and Vaccine Policy Effectiveness in Demographic Strata

9 years 7 months ago
Predicting Human Papilloma Virus Prevalence and Vaccine Policy Effectiveness in Demographic Strata
Human Papilloma Virus (HPV) is a sexually transmitted virus, which can lead to cervical cancer. HPV DNA is found in cervical cancers with types 16, 18, 31 and 45 accounting for more than 75% of cervical cancers. Candidate vaccines have entered phase III testing with the Food and Drug Administration and several drug companies are in licensing arbitration. Once this vaccine becomes available, an effective vaccination strategy is needed. Hughes, Garnett and Anderson have developed a model to predict HPV prevalence and population-level vaccine effectiveness; however, this model does not allow for stratification with time-dependent demographic traits, such as age. With this in mind, we have developed a tool that facilitates predicting HPV prevelence in a variety of demographic settings and allows for quantification of different vaccination policies.
Courtney Corley, Armin R. Mikler
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where BIBE
Authors Courtney Corley, Armin R. Mikler
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