Authors: Hazel Ticas, Daniel Scott
Mentors: Daniel Scott
Insitution: Utah Valley University
The COVID-19 pandemic’s results, though highly publicized throughout its early years, fell out of the media’s attention over time. Despite the lower volume of media coverage, the effects of the pandemic remain ongoing. In an effort to maintain accurate information about the most current impacts of COVID-19, this study will review relative COVID-19 case amounts compared to population density for four populations during the omicron peak between the years of 2021 and 2022.. The four populations are: counties in New York, United States; counties in California, United States; a collection of the largest counties from the other 48 United States, and the states in Sweden. The population density for each of the four populations was corrected using Google Maps in order to eliminate areas that didn’t have any residents, but were part of the county or state boundaries. Boundaries have been defined as anything thats stops the spread of COVID-19, said boundary can be geographical or self-isolation. We aim to analyze the data trends of how Omicron spreads in relation to population density and boundary effects by comparing the ratio of virus spreadability to boundaries on each population. The goal is to create a model that can be applied to COVID-19.