Through a collaboration among Fairfax County Health Department (FCHD), Fairfax County Public Schools (FCPS), Morehouse School of Medicine (MSM), George Mason University College of Public Health, federally qualified health centers, hospital systems, non-profits, and other agencies, this initiative targets underserved high school students as a way to increase diversity among community health professionals, build generational health, and provide participants with tools to enhance their post-secondary educational and career opportunities.
View Article and Find Full Text PDFDistrict of Columbia (DC) has high rates of HIV infection and human papillomavirus (HPV)-associated cancers. People living with HIV (PLWH) are at risk for developing HPV-associated cancers. Previous studies identified factors that may further increase the risk of HPV-associated cancer among PLWH such as age, race/ethnicity, sex, risk factor for HIV transmission, stage of HIV infection, and age at HIV diagnosis.
View Article and Find Full Text PDFIntroduction: Social network strategies have been used by health departments to identify undiagnosed cases of HIV. Heterosexual cycle (HET4) of National HIV Behavioral Surveillance (NHBS) is a social network strategy implemented in jurisdictions. The main objectives of this research are to 1) evaluate the utility of the NHBS HET cycle data for network analysis; 2) to apply statistical analysis in support of previous HIV research, as well as to develop new research results focused on demographic variables and prevention/intervention with respect to heterosexual HIV risk; and 3) to employ NHBS data to inform policy with respect to the EHE plan.
View Article and Find Full Text PDFIn Washington, DC, 2% of residents are living with HIV, with 15.3% of them experiencing homelessness. Additionally, over half of DC-area renters are paying over 30% of their income for housing.
View Article and Find Full Text PDFBackground: Mode of transmission-based hotspots is a smart approach to HIV mitigation, yet remains poorly evaluated and implemented in the United States. The primary aim was to identifying mode of transmission-based hotspots and populations at risk of lower viral suppression to assist in targeted planning and implementation of programs.
Methods: We implemented spatial statistics to identify global-local hotspots and regression analysis to find populations at risk of lower viral suppression within hotspots.