讲座题目：Managing Queues During Infectious Disease Outbreaks
To assist with resource allocation decisions in health systems treating infectious diseases, we develop a novel analytical framework that integrates the classical susceptible-exposed-infectious-recovered (SEIS) model with a multi-server queue. Unlike most compartmental models of infectious disease where the primary goal is to forecast future trajectories of the compartments, our focus is on how to optimally design the service capacity with the objective of achieving acceptable quality of service. Also, our study departs from conventional queueing models in that prolonged customer delay not only translates into low quality of service but also leads to significant increase in future arrivals, as a waiting customer (representing an unhospitalized infectious individual) can “invite” new future arrivals (by turning susceptible individuals into exposed ones).
Yunan Liu is an associate professor at the Industrial and Systems Engineering Department and an associate faculty member of the Operations Research Center of North Carolina State University. His research interests include applied probability, queueing theory, stochastic modeling, simulation, online reinforcement learning, and their applications in service systems including call centers, healthcare, manufacturing, and blockchain systems. He received his M.S. and Ph.D. in Operations Research from Columbia University and B.E. in Electrical Engineering from Tsinghua University.Webpage:https://yunanliu.wordpress.ncsu.edu/