Approach

Our population-level simulation models have many capabilities, including, but not limited to:

• Integrates multiple data sources to evaluate the effects of specific policies and interventions
• Simulates the behaviors, experiences, and outcomes of realistic and diverse populations
• Accounts for local nuances and differential impact of interventions in different contexts
• Quantifies the expected uptake and health and economic impact of specific interventions and policies in specific contexts, settings and sub-populations
• Forecasts outcomes over long time periods, with attention to uncertainty
• Models combinations of interventions to understand potential interacting, synergistic, or ceiling effects when attempting to encourage specific health behaviors within a population
• Assesses the full continuum of cancer care outcomes, such as: quality adjusted life years (QALYs),cost per person screened, cost per cancer case averted, and cost per QALY gained