20  Introduction

This module demonstrates how to use EpiModel to combine a statistical model for a dynamic contact network (using Temporal Exponential Random Graph Modeling) into a dynamic individual-level model for infectious diseases.

We will start with a brief lecture (slides) below to describe the types of modeling we will be doing in this module, and then move to a hands-on demonstration of the process using EpiModel.

20.1 Slides

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20.2 Module Learning Objectives

  • Describe conceptually how to integrate a TERGM with an individual-level epidemic model using EpiModel.
  • Parameterize a basic network-based SIS epidemic model, diagnose the model, and run the epidemic simulation in EpiModel.
  • Extract and analyze the numerical data from the EpiModel object.
  • Plot and visualize the epidemic from the EpiModel object.