Health Forecasting UCLA uses an innovative computer simulation model to forecast the prevalence of chronic health conditions and related behaviors to inform investments in the health of the community.
Understanding the past and exploring the future of health is critical for strategic and efficient decision-making. Health Forecasts enable community groups, hospitals, cities, and counties to examine the state of health through the year 2040 following current trends and after implementing evidence-based interventions to improve health.
Health Forecasts combine research-based linkages between determinants of health, such as race/ethnicity, educational attainment, age group, and gender with epidemiologic trends to reveal health disparities, identify opportunities for impactful investing, and assess interventions for their custom population.
Health Forecasting offers customized population reports based on zip code boundaries to answer questions, such as:
  • What does the health status of my community look like now?  How will it change in five, ten, twenty years as demographic population changes?
  • How can I identify high-risk groups in my community?
  • What are the short and long-term implications of various best practice interventions within my unique population?