Background: The sexually transmitted infections (STIs), chlamydia and gonorrhea, disproportionately affect racial and ethnic minorities. Community attributes like poverty and prevalence of STIs, along with residential segregation and its impact on composition of sexual networks contribute to these disparate rates. The Southeast had the highest rates of chlamydial and gonorrheal infection among the four regions of the United States. Because relationships between race and place can confound national statistics, it is important to examine whether racial disparities within the region are associated with higher rates of infection. Purpose: The study aims to evaluate local geospatial clustering of gonorrhea and chlamydia rates in the Southeast, and their persistence during 2000-2005 and any associations with residential segregation, income inequality, unemployment and uninsured rates, and race. Methods: Using the Local Indicators of Spatial Association tests of spatial clustering, cluster maps were created for each STI outcome and year. Independent sample t-tests were then used to examine the difference in means of each community level variable across counties composing the high-rate clusters and all other counties in the region. Results: Over 60% of counties composing high-rate clusters persisted as high rate clusters over time, and were significantly associated with higher levels of community disadvantage than all other counties (p < 0.01). Overall gonorrhea rates decreased from 2000 to 2005 and chlamydia rates increased, while their associations with community disadvantage remained persistently strong over time. Conclusions: Counties with higher rates of chlamydia and gonorrhea persist over time and experience persistently higher levels of residential segregation and income inequality, as well as higher unemployment and uninsured rates, and higher proportions of blacks in the population. The social environment and segregated sexual networks may play important roles in the persistently high rates of chlamydia and gonorrhea observed for certain regions within the Southeast. Continued surveillance of reportable STIs and their probable predictors is needed in order to better understand the persistent disparities in STI rates across counties in the Southeast.

Fifty percent of small businesses fail before attaining their 5-year anniversary. The lack of sufficient working capital is one of the major reasons for small business failure. Pecking order theory was employed as the conceptual framework for this multiple case study to explore the working capital sourcing strategies of 6 purposely selected successful small business owners in the Southeast region of the United States used to sustain their businesses beyond 5 years. Data sources included semistructured interviews and company documents. Data analysis included thematic coding of the material using statistical software. The modified Van Kaam method was used to analyze the interview data. Secondary company documents such as financial reports were analyzed to triangulate findings from the interviews. Based on composite analysis, 6 themes emerged: (a) each of the participating small business owners encountered barriers in sourcing working capital for their businesses, (b) small business leaders used their personal internal sources of funds to start and initially operate their businesses, (c) customers provided a revenue stream to support the working capital needs of small businesses, (d) small business leaders used various bootstrapping measures to support their working capital needs, (e) using strategic and operational planning aids such as completing a business plan assisted business leaders in their working capital sourcing decision-making, and (f) personal credit provided a foundation for obtaining external business credit. The implications for social change include the sustainability of small businesses beyond 5 years, which could lead to the maintaining jobs and assisting small businesses to succeed in stabilizing and potentially increasing incomes for benefiting families and communities.

This research uses satellite data and the moment statistics to determine if solar farms can be placed in the Southeast US. From 2001-2019, the data are analyzed in reference to the Southwest US, where solar farms are located. The clean energy need is becoming more common; therefore, more locations than arid environments must be observed. The Southeast US is the main location of interest due to the warm, moist environment throughout the year. This research uses the Global Land Surface Satellite (GLASS) photosynthetically active radiation product (PAR) to determine viable locations for solar panels. A probability density function (PDF) along with the moment statistics are utilized to determine statistic thresholds from solar farms in the Southwest US. For the Southeast US, three major locations were determined to be a viable option: Mississippi Delta, Northwest Florida, and Southwestern Alabama. This research shows that solar farms can be efficient in areas with more convective cloud cover, such as the Southeast US.