Spatial pattern and determinants of HIV infection among adults aged 15 to 54 years in India - Evidence from National Family Health Survey-4 (2015-16)

Objective: To assess the spatial pattern and determinants of HIV infection in India.

Methods: We conducted a secondary data analysis using the National Family Health Survey-4 data obtained from the Demographic Health Survey programme. We accounted for clustering and stratification in the sampling design using the svyset command. Spatial analysis was performed by generating the Moran's I statistic and local indicators for spatial association (LISA) maps. Logistic regression was performed to identify the determinants of HIV infection.

Results: 230 213 individuals were included. Prevalence of HIV infection in India was 0.24% (95% CI: 0.21%-0.28%). Being separated/widowed/divorced (aOR = 2.58, 95% CI: 1.22-5.40), living in an urban area (aOR = 2.46, 95% CI: 1.79-3.37), being resident in the North-Eastern (aOR = 4.25, 95% CI: 2.60-6.93), Southern (aOR = 3.13, 95% CI: 1.99-4.91) or Western region (aOR = 2.17, 95% CI: 1.08-4.33), having a history of multiple sexual partners (aOR = 1.99, 95% CI:1.42-2.79), a suspected STI (aOR = 2.32, 95% CI: 1.38-3.90) or self-reported TB (aOR = 7.80, 95% CI: 2.52-24.05) were significantly in association with HIV infection. Moran's I was 0.377, suggesting positive spatial autocorrelation. The LISA cluster map indicated 60 hotspot districts in India, mostly in southern states such as Karnataka, Andhra Pradesh and Telangana followed by north-eastern states such as Nagaland, Manipur, Mizoram, Tripura and Assam.

Conclusion: HIV infection among adults aged 15-54 years in India is spatially clustered with the majority occurring in southern and north-eastern states. Hence, region- or district-specific strategies with focused interventions should be adopted.