scholarly journals A Profile of North Carolina Lesbian, Gay, and Bisexual Health Disparities, 2011

2014 ◽  
Vol 104 (6) ◽  
pp. e98-e105 ◽  
Author(s):  
Derrick D. Matthews ◽  
Joseph G. L. Lee
2012 ◽  
Vol 102 (1) ◽  
pp. e9-e15 ◽  
Author(s):  
Hyun-Jun Kim ◽  
Karen I. Fredriksen-Goldsen

2013 ◽  
Author(s):  
Hasan M. Abdessamad ◽  
Mark H. Yudin ◽  
Lesley A. Tarasoff ◽  
Kimberly D. Radford ◽  
Lori E. Ross

2005 ◽  
Vol 27 (3) ◽  
pp. 29-32
Author(s):  
Sharon Morrison

The steady influx of immigrants and refugees in Central North Carolina has enriched the cultural life of this region. Unfortunately, these diverse newcomers face health disparities as they undergo language and cultural adaptation to US host society and its institutions. As a public health educator and researcher, I have applied anthropological principles and methods to exploring ways of reducing health disparities among ethnically and culturally diverse immigrant groups. This paper presents a snapshot of how as public health educator and researcher, I apply principles of anthropology to explore domains of health disparity. I will provide examples of creative research and service partnerships for addressing language and health literacy as domains of health disparity among immigrant newcomers to Guilford County, North Carolina.


2004 ◽  
Vol 65 (6) ◽  
pp. 377-380
Author(s):  
Curtis W. Dickson ◽  
Janet G. Alexander ◽  
Barbara H. Earley ◽  
Erin K. Riddle

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1704
Author(s):  
Thais Muratori Holanda ◽  
Claudia Alberico ◽  
Leslimar Rios-Colon ◽  
Elena Arthur ◽  
Deepak Kumar

Long-term coronavirus disease 2019 (long-COVID) refers to persistent symptoms of SARS-CoV-2 (COVID-19) lingering beyond four weeks of initial infection. Approximately 30% of COVID-19 survivors develop prolonged symptoms. Communities of color are disproportionately affected by comorbidities, increasing the risk of severe COVID-19 and potentially leading to long-COVID. This study aims to identify trends in health disparities related to COVID-19 cases, which can help unveil potential populations at risk for long-COVID. All North Carolina (NC) counties (n = 100) were selected as a case study. Cases and vaccinations per 1000 population were calculated based on the NC Department of Health and Human Services COVID-19 dashboard with reports current as of 8 October 2021, which were stratified by age groups and race/ethnicity. Then, NC COVID-19 cases were correlated to median household income, poverty, population density, and social vulnerability index themes. We observed a negative correlation between cases (p < 0.05) and deaths (p < 0.01) with both income and vaccination status. Moreover, there was a significant positive association between vaccination status and median household income (p < 0.01). Our results highlight the prevailing trend between exacerbated COVID-19 infection and low-income/under-resourced communities. Consequently, efforts and resources should be channeled to these communities to effectively monitor, diagnose, and treat against COVID-19 and potentially prevent an overwhelming number of long-COVID cases.


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