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
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
Language
eng
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.
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