Abstract:

Objective To analyze the spatial distributions and influence factors of HIV infected people of Henan province so as to provide scientific evidences for the prevention and treatment of HIV. Methods Based on the HIV data of 17 counties (cities) in Henan province from 2010 to 2011, the spatial database was set up by ArcGIS10.0 and the spatial analysis and spatial regressive analysis were performed by the GeoDa_0.9.5.I software. Results HIV infected people in Henan province in 2010 and 2011 showed spatial aggregation, Moran′s I values were 0.283 0 and 0.283 1 and were statistically significant (P<0.05). The result of spatial regressive analysis showed that the HIV infection rate in Henan province was related to per capita number of medical institutions (Z₂₀₁₀=-0.014 8, P₂₀₁₀=0.046 6; Z₂₀₁₁=-0.015 2, P₂₀₁₁=0.009 2). Conclusion The spatial distribution of HIV infections is non-random and exists significant clustering in Henan province from 2010 to 2011. The HIV infection rate is affected by the per capita number of medical institutions at the spatial level.

Key words: HIV, spatial autocorrelation, spatial autoregressive model, per capita number of medical institutions