2 research outputs found

    New HIV Infection Estimation from Program Data of Key Populations

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    In India, HIV sentinel surveillance is carried out to estimate the prevalence of HIV for calibrating the response. However, estimate of new HIV infections is also needed to monitor the effectiveness of prevention strategies. We used Targeted Intervention Program data of Injecting Drug Users (IDUs) and Female Sex Workers (FSWs) enrolled in Targeted Intervention (TI) programme in Aizawl district of Mizoram state to estimate the trend in new HIV infection rate. Those who had tested HIV positive in a particular year but were negative in the previous HIV test were considered to be newly infected. New HIV infections were found to have a rising trend from 2010 to 2019 (p<0.01). The new infection rate of HIV was 6.73% among IDUs and 1.94% among FSWs in 2019. This analysis, which requires minimal resources, may be undertaken at regular interval in all Targeted Intervention Programs to monitor the effect of preventive strategies at local level

    Changes in and predictors of HIV among people who inject drugs in Mizoram, Northeast India, from 2007 to 2021

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    This study aimed to examine the changes in and predictors of the human immunodeficiency virus (HIV) among people who inject drugs (PWID) in Mizoram, Northeast India, over a period of 15 years (2007–2021). A sample of 14783 PWID was extracted from the Targeted Intervention (TI) services under the Mizoram State AIDS Control Society (MSACS). A chi-square test was used to compare the differences in HIV prevalence across the three 5-year periods, and a multiple logistic regression analysis was used to determine predictors after adjusting for sociodemographic, injecting and sexual behaviours. The results showed that compared to 2007–2011, HIV prevalence was almost three times higher in 2012–2016 (AOR 2.35; 95% CI 2.07–2.66) and almost two times higher in 2017–2021 (AOR 1.41; 95% CI 1.24–1.59). The results suggest that participants who were females (AOR 2.35; 95% CI 2.07–2.66), married (AOR 1.13; 95% CI 1.00–1.27), separated/divorced/widowed (AOR 1.74; 95% CI 1.54–1.96), of middle school level education (AOR 1.24; 95% CI 1.06–1.44), sharing needles/syringes (AOR 1.78; 95% CI 1.61–1.98) and receiving a regular monthly income were positively associated with HIV infection. Condom use with a regular partner (AOR 0.77; 95% CI 0.70–0.85) was high among PWID. Despite targeted interventions under MSACS to reduce HIV in Mizoram, the prevalence of HIV/AIDS among PWID remained high between 2007 and 2021. Policymakers and stakeholders should tailor future interventions based on the factors identified in this study that are associated with HIV infection. Our findings highlight the importance of socio-cultural factors in HIV epidemiology among PWID in Mizoram
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