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  • 标题:Food Insecurity, Social Vulnerability, and the Impact of COVID-19 on Population Dependent on Public Assistance / SNAP: A Case Study of South Carolina, USA
  • 本地全文:下载
  • 作者:I.C. Esobi ; M. K. Lasode ; C. I Anyanwu
  • 期刊名称:Journal of Food Security
  • 印刷版ISSN:2372-0115
  • 电子版ISSN:2372-0107
  • 出版年度:2021
  • 卷号:9
  • 期号:1
  • 页码:8-18
  • DOI:10.12691/jfs-9-1-2
  • 语种:English
  • 出版社:Science and Education Publishing
  • 摘要: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.
  • 关键词:food insecurity; COVID-19; social vulnerability; SNAP
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