Social vulnerability refers to the socioeconomic and demographic factors that affect the resilience of communities. Studies have shown that in disaster events the socially vulnerable are more likely to be adversely affected, i.e. they are less likely to recover and more likely to die. Effectively addressing social vulnerability decreases both human suffering and the economic loss related to providing social services and public assistance after a disaster. This paper describes the development of a social vulnerability index (SVI), from 15 census variables at the census tract level, for use in emergency management. It also examines the potential value of the SVI by exploring the impact of Hurricane Katrina on local populations.

HIV prevalence and socio-demographic data were analyzed to assess the alignment of CDC-funded HIV testing activity in 2012 with its high-impact prevention approach. CDC-funded HIV-testing was conducted in counties with high HIV prevalence and in places potentially more affected by HIV as measured by urbanicity, percent black, percent poverty, and percent uninsured. The percent Hispanic/Latino was associated with a lower probability of HIV testing activity. Higher percentages of black and Hispanic/Latino in the population was positively associated with new HIV diagnoses. Analyzing county-level data confirmed the appropriateness of CDC-funded HIV testing activities under a high-impact prevention approach but also suggested areas for possible improvement.

In 2006, the Centers for Disease Control and Prevention funded seven community-based organizations (CBOs) to conduct outcome monitoring of Healthy Relationships. Healthy Relationships is an evidence-based behavioral intervention for people living with HIV. Demographic and sexual risk behaviors recalled by participants with a time referent of the past 90 days were collected over a 17-month project period using a repeated measures design. Data were collected at baseline, and at 3 and 6 months after the intervention. Generalized estimating equations were used to assess the changes in sexual risk behaviors after participation in Healthy Relationships. Our findings show that participants (n = 474) in the outcome monitoring project reported decreased sexual risk behaviors over time, such as fewer number of partners (RR = 0.55; 95% CI 0.41-0.73, P < 0.001) and any unprotected sex events (OR = 0.44; 95% CI 0.36-0.54, P < 0.001) at 6 months after the intervention. Additionally, this project demonstrates that CBOs can successfully collect and report longitudinal outcome monitoring data.

In 2008, CDC convened an expert panel to gather input on the use of geospatial science in surveillance, research and program activities focused on CDC's Healthy Communities Goal. The panel suggested six priorities: spatially enable and strengthen public health surveillance infrastructure; develop metrics for geospatial categorization of community health and health inequity; evaluate the feasibility and validity of standard metrics of community health and health inequities; support and develop GIScience and geospatial analysis; provide geospatial capacity building, training and education; and, engage non-traditional partners. Following the meeting, the strategies and action items suggested by the expert panel were reviewed by a CDC subcommittee to determine priorities relative to ongoing CDC geospatial activities, recognizing that many activities may need to occur either in parallel, or occur multiple times across phases. Phase A of the action items centers on developing leadership support. Phase B focuses on developing internal and external capacity in both physical (e.g., software and hardware) and intellectual infrastructure. Phase C of the action items plan concerns the development and integration of geospatial methods. In summary, the panel members provided critical input to the development of CDC's strategic thinking on integrating geospatial methods and research issues across program efforts in support of its Healthy Communities Goal.