Authors: Suparna Das*, DC Department of Health, Jessica Li, George Washington University, Adam Allston, DC Department of Health
Topics: Medical and Health Geography, Geography and Urban Health
Keywords: GWR, HIV, spatial analysis, policy
Session Type: Paper
Start / End Time: 3:55 PM / 5:35 PM
Room: Tyler, Marriott, Mezzanine Level
Presentation File: No File Uploaded
Resource allocation and area-specific prevention intervention programs are imperative to reduce new HIV infections. The analysis was conducted to inform area based prevention intervention programs and plan resource allocation in District of Columbia.
The analysis used spatial regression to evaluate the spatial heterogeneity of new HIV rate and its association with sexually transmitted infection repeaters (STIREP) and socioeconomic and demographic characteristics. The HIV and STIREP data were obtained from the DC Department of Health surveillance data (2010 – 2016). Other covariates were obtained ACS, 2016. OLS and GWR were used to compare global and local relationships.
For OLS, age, high school dropouts (NHSD) and the black population (BLACK) had an association with HIV new diagnoses (HIVDVi). Results from the GWR model demonstrates spatial variations of association of STIREP, mean age of each block groups, female, NHSD, unemployment, and poverty with new HIV diagnoses. AICc value for the global model was 2770.99 and R2 was 0.54 (54%). The GWR R2 was 0.81 (81%), and AICc was 2580.84, where the latter showed a 0.27 (27%) increase in R2 and a decreased AICc.
These results will also be used for targeted testing, planning for PrEP as well as access to health care. The results will help the plan resource allocation to community-based providers for prevention intervention programs and fund public health programs such as condom distribution, mobile vans, youth based sex education