MWEpi-Viz: an interactive visualization dashboard for ensemble simulations in computational epidemiology

Lam, Ho Shan

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https://hdl.handle.net/2142/120188 Copy

Description

Title

MWEpi-Viz: an interactive visualization dashboard for ensemble simulations in computational epidemiology

Author(s)

Lam, Ho Shan

Issue Date

2023-04-19

Director of Research (if dissertation) or Advisor (if thesis)

Hart, John C

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Agent-based modeling
• Computational epidemiology
• Ensemble Visualization

Abstract

The COVID-19 pandemic has prompted the development of numerous visualization tools to facilitate understanding and communicating on epidemiological research findings. However, existing visualization work for agent-based epidemiology simulations often focuses on macro-scale phenomena, while overlooking the connection between macro-scale trends and micro-scale agent behaviors. Portraying this connection accurately for ensemble simulations can bring substantial insights into both the epidemiology of infectious diseases and public health intervention design and evaluation. To address this gap, we present MWEpi-Viz, an interactive dashboard that facilitates exploration of ensemble datasets generated via epidemiological agent-based models. In this thesis, we describe the development process, system design, and efficacy of MWEpi-Viz, which draws upon months of participatory research with a computational epidemiologist. We illustrate the utility of MWEpi-Viz using an ensemble dataset from a counterfactual COVID-19 scenario in the Champaign-Urbana community, August 2020.

Graduation Semester

2023-05

Type of Resource

Thesis

Copyright and License Information

Copyright 2023 Ho Shan Lam

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