COV-19 SIR with Public Health Interventions (version 1.0.0)
This is an extentensions of the basic Suceptible, Infected, Recovered (SIR) model. This model explores the spread of disease in two spaces, one a treatment, and one a control. Through the modeling options, one can explore how changing assumptions about the number of suceptible people, starting number of infected people, the disease’s infection probability, and average duration impacta the outcome. In addition, this version allows users to explore how public health interventions like social distancing, masking, and isolation can affect the number of people infected. The model shows that the interactions of agents, and the interventions can drastically affect the results of the model. We used the model in our course about COVID-19: https://www.csats.psu.edu/science-of-covid19
This is the second model in our COVID-19 course.
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/a1667c67-6473-4d4c-9322-2ac5a5053551/releases/1.0.0/