Common methods to estimate the full health and economic burden of diseases include the cost-of-illness approach and the value-per-statistical-life approach. Both methodologies have well-known drawbacks, including the dependence on income and the treatment of inequities. This presentation discusses an alternative methodology for estimating the full burden of diseases: social welfare function analysis. An application to the full global burden of type 1 diabetes is provided.
Speaker Information
Maddalena Ferranna, assistant professor in the Department of Pharmaceutical and Health Economics at the University of Southern California
Her research focuses on development and application of distribution-sensitive economic evaluation methods. Her current research projects focus on the value of investing in pandemic preparedness, the economic benefits of potential Strep A vaccines, the economic burden of type 1 diabetes, and the value of climate change mitigation health co-benefits.<br><br><br>Speakers share their own perspectives; they do not speak for the Center for Health Decision Science or for Harvard University.
