A case study on using unstructured data analysis methods to identify local covid-19 hotspots

Abstract

The purpose of this work is to use unstructured data analysis methods to identify Covid-19 hotspots within local communities using publicly-available health and socioeconomic data. Consequently, a detailed analysis showing which local communities are most impacted by Covid-19 in the North Florida region is conducted based on zip code profiling. This work contributes to the knowledge and discovery of the impact of Covid-19 on lower income communities.