Location
University of Richmond, Richmond, Virginia
Document Type
Slide Presentation
Description
The purpose of the project is to discover how the prevalence and mortality of a pandemic change depending on a population’s demographic factors as well as various intervention policies through a NetLogo agent-based model. This model will simulate how demographic factors affect the course of COVID-19 (infection rate, recovery rate, and death rate). Demographic factors of interest will include population density, income distribution, age distribution, and number of hospital beds per capita. Intervention policies include vaccination, social distancing, mask wearing, mass testing, and quarantining. Conclusions about the effect of demographic factors on the infection, recovery, and death rate will be based on comparative analysis among different case studies.
Included in
An Agent-Based Model to Evaluate the Effect of Socioeconomic Status and Demographic Factors on COVID-19 Prevalence and Mortality
University of Richmond, Richmond, Virginia
The purpose of the project is to discover how the prevalence and mortality of a pandemic change depending on a population’s demographic factors as well as various intervention policies through a NetLogo agent-based model. This model will simulate how demographic factors affect the course of COVID-19 (infection rate, recovery rate, and death rate). Demographic factors of interest will include population density, income distribution, age distribution, and number of hospital beds per capita. Intervention policies include vaccination, social distancing, mask wearing, mass testing, and quarantining. Conclusions about the effect of demographic factors on the infection, recovery, and death rate will be based on comparative analysis among different case studies.
Comments
Department: Mathematics
Faculty Mentor: Dr. Joanna Wares