title: Women and HIV in the United States.
abstract: BACKGROUND
  The demographic and geographic characteristics of the HIV epidemic in the US has changed substantially since the disease emerged, with women in the South experiencing a particularly high HIV incidence. In this study, we identified and described counties in the US in which the prevalence of HIV is particularly high in women compared to men.
  
  
  METHODS
  Using data from AIDSVu, a public dataset of HIV cases in the US in 2012, we categorized counties by their decile of the ratio of female to male HIV prevalence. The demographic and socioeconomic characteristics of counties in the highest decile were compared to those of counties in the lower deciles.
  
  
  RESULTS
  Most of the counties in the highest decile were located in the Deep South. These counties had a lower median income, higher percentage of people in poverty, and lower percentage of people with a high school education. Additionally, people with HIV in these counties were more likely to be non-Hispanic black.
  
  
  CONCLUSIONS
  Counties with the highest ratios of female-to-male HIV prevalence are concentrated in the Southern US, and residents of these counties tend to be of lower socioeconomic status. Identifying and describing these counties is important for developing public health interventions.
authors.affiliation: Department of Epidemiology, UNC-Chapel Hill, Chapel Hill, North Carolina, United States of America.
authors.forename: Alexander
authors.initials: A
authors.lastname: Breskin
authors.affiliation: Department of Epidemiology, UNC-Chapel Hill, Chapel Hill, North Carolina, United States of America.|Department of Medicine, UNC-Chapel Hill, Chapel Hill, North Carolina, United States of America.
authors.forename: Adaora A
authors.initials: AA
authors.lastname: Adimora
authors.affiliation: Department of Epidemiology, UNC-Chapel Hill, Chapel Hill, North Carolina, United States of America.
authors.forename: Daniel
authors.initials: D
authors.lastname: Westreich
mesh_terms: D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D015658:HIV Infections / Q000453:epidemiology*; D015497:HIV-1 / Q000502:physiology*; D006801:Humans; D007182:Income; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D011203:Poverty; D015995:Prevalence; D014481:United States / Q000453:epidemiology; D055815:Young Adult