Thesis
Studies of COVID-19 outbreak control using agent-based modeling
University of Iowa
Master of Science (MS), University of Iowa
Spring 2022
DOI: 10.25820/etd.006456
Abstract
A worldwide COVID-19 epidemic is now underway. The majority of current research focuses on issues such as virus transmission, asymptomatic and presymptomatic virus shedding, vaccine development, and so on. In this research, we created an agent-based model to explore COVID-19 epidemics and outbreak control, primarily in urban areas, as opposed to using mathematical and statistical models. It was possible to construct rules for human interaction and virus infectiousness. At first, the control measures, such as social distance, self-quarantine, and community quarantine, were evaluated separately. Both community quarantine and self-quarantine were scaled so that their impacts on the outbreak control can be quantitatively evaluated. The dataset was then utilized to train an artificial neural network, logistic regression classifier, and nonlinear support vector machine to forecast epidemic control by employing a mix of control strategies, using data acquired from intense simulations. We also ran a case study to anticipate the number of new COVID-19 cases each day in New York City after March 2, 2020, and compared the simulated results to the published data.
Details
- Title: Subtitle
- Studies of COVID-19 outbreak control using agent-based modeling
- Creators
- Ruicheng Liu
- Contributors
- Shaoping Xiao (Advisor)Rachel Vitali (Committee Member)Kamran Samani (Committee Member)
- Resource Type
- Thesis
- Degree Awarded
- Master of Science (MS), University of Iowa
- Degree in
- Mechanical Engineering
- Date degree season
- Spring 2022
- Publisher
- University of Iowa
- DOI
- 10.25820/etd.006456
- Number of pages
- vii, 58 pages
- Copyright
- Copyright 2022 Ruicheng Liu
- Language
- English
- Description illustrations
- illustrations (some color)
- Description bibliographic
- Includes bibliographical references (pages 49-58).
- Public Abstract (ETD)
A worldwide COVID-19 epidemic is now underway. We used agent-based modeling to simulate the spread of the COVID-19 pandemic in urban communities. Based on earlier sociology studies and recently published data, rules for people’s interactions and virus infectiousness were derived. There were three control measures considered in this paper: social distancing, self-quarantine, and community quarantine. We first studied the impact of each control measure on the spread of the COVID-19 in human population. Then, we studied the impacts of combined control measures. We also ran a case study to anticipate the number of new COVID-19 cases each day in New York City after March 2, 2020, and compared the simulated results to the published data.
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984271355402771
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