eng Science and Education Publishing Journal of Food Security 2372-0107 2020-12-28 9 1 8 18 10.12691/jfs-9-1-2 JFS2021912 article I.C. Esobi iesobi@g.clemson.edu 1 M. K. Lasode 2 C. I Anyanwu 2 M.O Flores Barriguete 3 M. A. Okorie 4 D.O Lasode 5 Department of Food, Nutrition and Packaging Science, Clemson University, Clemson, South Carolina, USA Department of Geography, Texas State University, San Marcos, Texas, USA El Pasoans Fighting Hunger Food Bank, El Paso, Texas, USA College of Nursing, Chamberlain University, San Antonio, Texas, USA Africa Regional Centre for Information Science, University of Ibadan, Oyo State, Nigeria Apart from clinical and epidemiological factors, a multitude of demographic, social, and economic factors also influence the extent of the coronavirus disease prevalence within a population. Consequently, there is ongoing discourse regarding the socio-economic predictors of COVID-19. This study explores the influence of several demographic and socio-economic variables on COVID-19 cases in all 46 counties of South Carolina, USA as of October 18, 2020. To understand the level of association between the demographic and socio-economic variables with the coronavirus disease outcome, we employed a spatial mapping technique in a geographic information system (GIS) to assess social vulnerabilities of populations dependent on public assistance income and spatially compared the distribution with COVID-19 cases across the 46 counties in South Carolina, USA. We find that dependence on food stamps showed a positive but weak correlation to COVID-19. For individual variables, Age and poverty were strongly associated with dependence on public assistance and were determined to be major predictors of COVID-19. Social vulnerability assessment showed an interesting spatial pattern of counties with high prevalence of COVID-19 cases also having high social vulnerabilities. The results complement knowledge about the COVID-19 pandemic beyond clinical and biological risk factors by assessing socio-economic perspectives and determinants. Findings from this study can inform policy decisions on poverty alleviation, public assistance, and food security programs. http://pubs.sciepub.com/jfs/9/1/2/jfs-9-1-2.pdf food insecurity COVID-19 social vulnerability SNAP