A Reproducible and Replicable Spatially Explicit Agent-Based Model Using CyberGIS-Jupyter: A Case Study in Queen Anne Neighborhood, Seattle, WA

Author(s): Michels A., Kang J., Werner A., Lieberthal B., Wang C., Vance M., and Yi L.

This notebook walks through how to acquire the necessary geospatial, health, and sociological data required to create a spatially-explicit agent-based model of influenza spread. Using the Queen-Anne neighborhood as an example, we walk though synthesizing a population from geospatial and sociological data using Pattern-Oriented Modeling (POM) and simulating the spread of influenza using the SEIR (Susceptible-Exposed-Infectious-Recovered) model of disease transmission.

Keywords: agent-based model, CyberGIS-Jupyter, Seattle