Integrating Data and Modeling - The Research strategy of the Public Health Dynamics Laboratory
The Public Health Dynamics Laboratory (PHDL) at the graduate school of Public Health at the University of Pittsburgh is a mathematical modeling group that uses computational methods to represent diseases and potential interventions. Initially funded through the Modeling Infectious Disease Agents Study (MIDAS), the PHDL has developed expertise in large scale, geospatially accurate agent-based modeling, primarily with a concentration on infectious diseases. These models require significant amounts of data, and we have championed he use of “synthetic” populations that statistically represent the real populations of interest. This talk will describe the ongoing modeling efforts at PHDL, our development of dynamic synthetic populations that age, marry, divorce and create social networks, and acquire non-infectious diseases, and describe our aspirational goals of the integration of individual data with complex, mechanistically-based models.