PhD Student Suncica Milosevic and coauthors recently published an article titled “Vaccination Accessibility Analysis: Modeling Historical Patterns of Redlining and Access to Healthcare Services”. The full article can be accessed here.

Abstract

Despite immense efforts to ensure equitable COVID-19 vaccination access, many global communities had remained marginalized without access to vaccines or with limited supplies and accessibility to vaccines. In the United States, inequalities in vaccination access were and continue to be reflected across demographics of race, income, and geographic location, where minorities and low-income populations recorded lower rates of vaccination. Using a combination of QGIS, R Studio, SPSS, and GeoDa software to code and analyze publicly available data for Milwaukee, historical patterns of systemic exclusion, specifically redlining, were compared to current-day access to healthcare as reflected by vaccination rates. Spatial and statistical analysis showed a strong correlation between historically marginalized neighborhoods and low vaccination rates despite vaccines being federally funded and available to all US residents. Through this quantitative framework, other US cities can be similarly studied for the impacts of historic redlining on social equity and accessibility issues beyond healthcare access.