Expanding an Agent Based Model to Simulate SARS-CoV-2 Spread in Places of Worship

The objective of this project is to expand the agent-based model developed to help leaders in places of worship in the local community to assess options for reopening these places of worship physically. The project consists of three phases. The first phase involves studying the current model in detail and brainstorming various ideas for expanding the model to better represent the behavior of worshipers (agents) in the real world and additional parameters to represent the SARS-CoV-2 spread. Out of the ideas discussed, two were selected for expanding the model in this project. The next phase consisted of studying Netlogo and how to develop agent-based models in Netlogo, studying various existing models to understand and learning how specific behavior of the agents is programmed. The last phase consisted of making changes to the model, re-programming the agents to behave in a more advanced way, and making changes to the viral load spread to reflect added parameters. In this paper, we will discuss more in detail the existing model, the expanded model, our observations, and additional parameters to further expand the model in the future.

Advisor: Dr. Ling Rothrock, Professor, The Harold, and Inge Marcus Department of Industrial and Manufacturing Engineering



Work Title Expanding an Agent Based Model to Simulate SARS-CoV-2 Spread in Places of Worship
Open Access
  1. Gibran Haque
  1. Agent-Based Modeling
  2. SARS-CoV-2
  3. Virus Spread
  4. Places of Worship
  5. Church
  6. Wells-Riley Model
License In Copyright (Rights Reserved)
Work Type Research Paper
  1. Dr. Ling Rothrock
  2. Dr. Paul Griffin
Publication Date 2021
Deposited March 22, 2021




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  • Added ABM_COVID_Paper_Gibran_Haque.pdf
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