The Application of Agent Based Model for Health Promotion
opportunity - Environment
Yong Yang, PhD
Assistant Professor, School of Public Health, Institute for Intelligent Systems, University of Memphis
AAFP 1.0 | ACSM 1.0 | CDR 1.0 | NCHEC 1.0
An agent based model (ABM) is a computational model that can be used to simulate the actions and interactions of agents as well as the dynamic interactions between agents and their environments in order to gain understanding of the functioning of the system. Although the potential of ABM has been recognized, ABM’s application in health promotion is limited partly because most researchers do not have related skills. This workshop will cover fundamental knowledge of ABM, its’ application and case studies. We will use several exemplar ABM to illustrate the general steps of developing an ABM. We will discuss the pros and cons of existing and potential models raised by the participants.
Dr. Yang is an Assistant Professor in the School of Public Health at the University of Memphis. His research area is urban health, focusing on the relationship between urban environment and health behavior. His research methodology is the integration of system science methods especially agent-based modeling (ABM), statistical analysis, spatial analysis and geographical information systems. Dr. Yang has more than ten years’ experience of the application of agent-based modeling for public health, and examples include modeling adults’ daily walking, children’s active travel to school, infectious disease transmission, and the modeling the dynamic interaction between health, income, and environment at the neighborhood level.