Faculty Sponsor(s)
Joelle Murray
Subject Area
Physics/Applied Physics
Description
We present several computational models of infectious disease propagation. We discuss both stochastic network models and deterministic differential equations models. The primary focus is on variations of the SIR compartmental differential equations model. We attempt to determine the characteristics of a pandemic that lead to endemic diseases and explore how individual mitigation strategies affect the spread of infectious diseases.
Recommended Citation
Simpson, Joseph E. and Overstreet, Joseph S., "Infectious Disease Propagation Modeling" (2021). Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement. Event. Submission 8.
https://digitalcommons.linfield.edu/symposium/2021/all/8
Infectious Disease Propagation Modeling
We present several computational models of infectious disease propagation. We discuss both stochastic network models and deterministic differential equations models. The primary focus is on variations of the SIR compartmental differential equations model. We attempt to determine the characteristics of a pandemic that lead to endemic diseases and explore how individual mitigation strategies affect the spread of infectious diseases.
