Demographic and spatial disparity in HIV prevalence among incarcerated population in the US: A state-level analysis.

The purpose of this study was to explore empirically the presence of any spatial and demographic disparity in the Human Immunodeficiency Virus (HIV) infection rate among the prison inmates across 48 states in the US and compare the results for 2000 and 2010. HIV infection is a severe health issue for incarcerated populations in the US. In 2010, the rate of diagnosed HIV infection among inmates in state and federal prisons was five times more than the nonincarcerated population. The National Prisoner Statistics database was used to find the demographic disparities in HIV prevalence rate based on incarceration rate, gender, race/ethnicity, the proportion of non-US citizens, and proportion of population below 18 years. State-level spatial mapping, Pearson correlation coefficient, and Moran's I statistic (univariate and bivariate) were computed based on these demographic characteristics using QGIS and Geoda software. There was a statistically significant pattern of spatial disparity in overall, male and female HIV infection rates across the state prisoners, with South and South-Eastern states facing a higher risk of infection. There was also statistically significant bivariate spatial association of HIV infection rate with the covariates: whites (negative), blacks (positive), non-US citizen (positive), and prisoners under age 18 years (positive) for both 2000 and 2010. There was a statistically significant higher HIV infection rate among the female prisoners in comparison to the male prisoners. It is of prime importance to examine the state-level disparities in HIV infection rate based on place and demographics. This is because evaluating the spatial pattern will help in accessing the relevant local information and provide federal agencies with better knowledge to target interventions and prevention programs toward the subgroup of the population at higher risk and help in controlling and reducing HIV infection prevalence.