Chapter 18: Public health policy for cervical cancer prevention: the role of decision science, economic evaluation, and mathematical modeling

Vaccine. 2006 Aug 31;24 Suppl 3:S3/155-63. doi: 10.1016/j.vaccine.2006.05.112.


Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes, can guide the design of future clinical studies and operational research, can provide insight into the cost-effectiveness of different strategies, and can assist in early decision-making when considered with criteria such as equity, public preferences, and political and cultural constraints.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Decision Making, Organizational
  • Female
  • Health Policy*
  • Health Services Administration*
  • Humans
  • Models, Theoretical
  • Papillomavirus Infections / diagnosis
  • Papillomavirus Infections / economics
  • Papillomavirus Infections / prevention & control*
  • Uterine Cervical Neoplasms / diagnosis
  • Uterine Cervical Neoplasms / economics
  • Uterine Cervical Neoplasms / prevention & control*