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Vaccine. 2006 Aug 31;24 Suppl 3:S3/155-63.

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

Author information

1
Department of Health Policy and Management, Harvard School of Public Health, 718 Huntington Avenue, Boston, MA 02115, USA. sue_goldie@harvard.edu

Abstract

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.

PMID:
16950003
DOI:
10.1016/j.vaccine.2006.05.112
[Indexed for MEDLINE]

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