Session 1C: Development of an Individual-Based Model for Simulation of the Spread of Infectious Diseases within Communities

Session Number

Session 1C: 4th Presentation

Advisor(s)

Jordan Hasler, Illinois Mathematics and Science Academy

Location

Room A151

Start Date

28-4-2017 8:30 AM

End Date

28-4-2017 9:45 AM

Abstract

Characterizing and modeling the spread of infection in an outbreak is often important in determining how the outbreak is to be stopped. Many different factors must be considered, including vaccination, immunity, quarantine conditions, and rate of spread, however, all of these models rely on people randomly traveling from one community to another. We created a routine-based environment to model the spread of infection in locations people frequent: neighborhood (including the store, park, etc.), hospital, school, and work. By designing our individual-based model to run within one community, we can manipulate variables within the community that could minimize the spread of the disease. In addition, our flexible model could be fit to a variety of diseases, as necessary.

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Apr 28th, 8:30 AM Apr 28th, 9:45 AM

Session 1C: Development of an Individual-Based Model for Simulation of the Spread of Infectious Diseases within Communities

Room A151

Characterizing and modeling the spread of infection in an outbreak is often important in determining how the outbreak is to be stopped. Many different factors must be considered, including vaccination, immunity, quarantine conditions, and rate of spread, however, all of these models rely on people randomly traveling from one community to another. We created a routine-based environment to model the spread of infection in locations people frequent: neighborhood (including the store, park, etc.), hospital, school, and work. By designing our individual-based model to run within one community, we can manipulate variables within the community that could minimize the spread of the disease. In addition, our flexible model could be fit to a variety of diseases, as necessary.