Term of Award

Spring 2024

Degree Name

Doctor of Public Health in Epidemiology (Dr.P.H.)

Document Type and Release Option

Dissertation (restricted to Georgia Southern)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Department

Department of Biostatistics, Epidemiology, and Environmental Health Sciences

Committee Chair

Isaac Chun-Hai Fung

Committee Member 1

Jing Kersey

Committee Member 2

Kelly Sullivan

Committee Member 3

Gerardo Chowell-Puente (non-voting)

Committee Member 3 Email

gchowell@gsu.edu

Non-Voting Committee Member

Alicia Kraay, amullis@umich.edu

Abstract

As COVID-19 is becoming endemic with the potential of recurrent epidemics globally, it is a priority to study its transmission dynamics to inform public health decision-making. There are three individual studies conducted to assess COVID-19 disease burden, transmission potential, and to evaluate R packages that are used to estimate a pathogen's transmission potential: 1) estimating the incidence rate ratios of COVID-19 cases among employees of seven District of Columbia government departments, 2) comparing EpiEstim and EpiFilter time-varying reproduction number (Rt) estimation methods using daily reported case count in Hawaii and Guam, 3) comparing the performance of three R packages (EpiEstim, EpiFilter, and EarlyR) that estimate Rt and basic reproduction number (R0) using a discrete-time stochastic S-E-I-R influenza model and a discrete-time stochastic SARS-CoV-2 S-E-P-I-R model simulated epidemic data. The dissertation concludes with a summary and suggestions for future research directions.

Research Data and Supplementary Material

No

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Available for download on Friday, April 13, 2029

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