Assessing the association between area deprivation index on COVID-19 prevalence: a contrast between rural and urban U.S. jurisdictions Running title: COVID-19 prevalence, ADI and county type

Background: The COVID-19 pandemic has impacted communities differentially, with poorer and minority populations being more adversely affected. Prior rural health research suggests such disparities may be exacerbated during the pandemic and in remote parts of the U.S. Objectives: To understand the sp...

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Príomhchruthaitheoirí: Christopher Kitchen (Údar), Elham Hatef (Údar), Hsien Yen Chang (Údar), Jonathan P Weiner (Údar), Hadi Kharrazi (Údar)
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Foilsithe / Cruthaithe: AIMS Press, 2021-07-01T00:00:00Z.
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LEADER 00000 am a22000003u 4500
001 doaj_5fac9dd3c7c543aaab96ea2ac47f9fb1
042 |a dc 
100 1 0 |a Christopher Kitchen  |e author 
700 1 0 |a Elham Hatef  |e author 
700 1 0 |a Hsien Yen Chang  |e author 
700 1 0 |a Jonathan P Weiner  |e author 
700 1 0 |a Hadi Kharrazi  |e author 
245 0 0 |a Assessing the association between area deprivation index on COVID-19 prevalence: a contrast between rural and urban U.S. jurisdictions Running title: COVID-19 prevalence, ADI and county type 
260 |b AIMS Press,   |c 2021-07-01T00:00:00Z. 
500 |a 10.3934/publichealth.2021042 
500 |a 2327-8994 
520 |a Background: The COVID-19 pandemic has impacted communities differentially, with poorer and minority populations being more adversely affected. Prior rural health research suggests such disparities may be exacerbated during the pandemic and in remote parts of the U.S. Objectives: To understand the spread and impact of COVID-19 across the U.S., county level data for confirmed cases of COVID-19 were examined by Area Deprivation Index (ADI) and Metropolitan vs. Nonmetropolitan designations from the National Center for Health Statistics (NCHS). These designations were the basis for making comparisons between Urban and Rural jurisdictions. Method: Kendall's Tau-B was used to compare effect sizes between jurisdictions on select ADI composites and well researched social determinants of health (SDH). Spearman coefficients and stratified Poisson modeling was used to explore the association between ADI and COVID-19 prevalence in the context of county designation. Results: Results show that the relationship between area deprivation and COVID-19 prevalence was positive and higher for rural counties, when compared to urban ones. Family income, property value and educational attainment were among the ADI component measures most correlated with prevalence, but this too differed between county type. Conclusions: Though most Americans live in Metropolitan Areas, rural communities were found to be associated with a stronger relationship between deprivation and COVID-19 prevalence. Models predicting COVID-19 prevalence by ADI and county type reinforced this observation and may inform health policy decisions. 
546 |a EN 
690 |a covid-19 
690 |a area deprivation index 
690 |a rural health 
690 |a social determinants of health 
690 |a health disparities research 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n AIMS Public Health, Vol 8, Iss 3, Pp 519-530 (2021) 
787 0 |n https://www.aimspress.com/article/doi/10.3934/publichealth.2021042?viewType=HTML 
787 0 |n https://doaj.org/toc/2327-8994 
856 4 1 |u https://doaj.org/article/5fac9dd3c7c543aaab96ea2ac47f9fb1  |z Connect to this object online.