Using up-to-date data to parametrize dynamic transmission models (DTMs) that evaluate the health and economic impact of human papillomavirus (HPV) vaccination is important to ensure accuracy and relevancy of models’ predictions.

Through a series of literature reviews, this study identified and synthesized data related to the natural history of HPV and its related diseases that can be useful to parametrize a wide range of HPV population models, including DTMs.

Most of the data collected pertained to parameters on cervical disease outcomes, while data for other anatomical locations were less available in the literature.

Limited non-cervical data and the variability of the available data suggest the need for more studies that generate and report evidence that is conducive to informing the rates at which individuals transition through HPV-related disease stages.