Mathematical models of cervical cancer have been widely used to evaluate the comparative
effectiveness and cost-effectiveness of preventive strategies. Major advances in the …

Health decision models are the only available tools designed to consider the lifetime natural
history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and …

Background To provide quantitative insight into current US policy choices for cervical cancer
prevention, we developed a model of human papillomavirus (HPV) and cervical cancer …

The objective of this study was to develop a comprehensive natural history model of human
papillomavirus (HPV) and cervical cancer using a two-step approach to model calibration. In …

Background The natural history of human papillomavirus (HPV)-induced cervical cancer
(CC) is not directly observable, yet the age of HPV acquisition and duration of preclinical …

Background: Mathematical models can be useful tools in exploring disease trends and
health consequences of interventions in a population over time. Most cancers, in particular …

The development of models is based on assumptions, which inevitably embed a level of
uncertainty. Quantifying such uncertainty is particularly important when modeling human …

Recent scientific advances are providing an opportunity to revisit strategies for cervical
cancer prevention. How to invest health resources wisely, such that clinical benefits are …

The object of our study is to project the impact of a prophylactic vaccine against persistent
human papillomavirus (HPV)‐16/18 infection on age‐specific incidence of invasive cervical …

The authors constructed a Markov model as part of a systematic review of cervical cytology
conducted at the Duke University Evidence-based Practice Center (Durham, North Carolina) …