A county-level analysis of persons living with HIV in the southern United States.
This study uses county-level surveillance data to systematically analyze geographic variation and clustering of persons living with diagnosed HIV (PLWH) in the southern United States in 2011. Clusters corresponding to large metropolitan areas - including Miami, Atlanta, and Baltimore - had HIV prevalence rates higher (p < .001) than the regional rate. Regression analysis within the counties included in these clusters determined that race was a significant indicator for PLWH. These results provide a general picture of the distribution of PLWH in the southern United States at the county level and provide insights for identifying local geographic areas with a high number of PLWH, as well as subpopulations that may have an increased risk of infection.
a Division of HIV/AIDS and Prevention, Centers for Disease Control and Prevention , Atlanta , GA , USA.
Simone C
SC
Gray
b Department of Mathematics , The University of Tennessee , Knoxville , TN , USA.
Tyler
T
Massaro
c Department of Mathematics , Emory University , Atlanta , GA , USA.
Isabel
I
Chen
d Department of Mathematics , University of Nebraska-Lincoln , Lincoln , NE , USA.
Christina J
CJ
Edholm
e Department of Mathematical Sciences , Clemson University , Clemson , SC , USA.
Rachel
R
Grotheer
f Department of Mathematics , Purdue University , West Lafayette , IN , USA.|g Department of Statistics , Purdue University , West Lafayette , IN , USA.
Yiqiang
Y
Zheng
h Department of Biostatistics and Bioinformatics , Rollins School of Public Health, Emory University , Atlanta , GA , USA.
Howard H
HH
Chang
D015142:Baltimore; D015658:HIV Infections / Q000453:epidemiology*; D006801:Humans; D015995:Prevalence; D044469:Racial Groups; D014481:United States / Q000453:epidemiology
American South; HIV; clusters; race/ethnicity; socioeconomic status