Abstract

The HIV epidemic in Manipur, the highest HIV prevalence state of India, is primarily driven by injecting drug use. Reliable estimate of population size of injecting drug users (IDU) is critical for aiding HIV prevention program in the state to combat drug driven HIV epidemic. The study described multiplier method, an indirect technique of estimation of IDU size in five districts of Manipur, India making use of existing records of rapid intervention and care (RIAC) programs. Number of IDUs who accessed RIAC services during the past 12 months was taken as the benchmark data for the size estimation. The benchmark data were then multiplied by the inverse of the proportion of the IDUs who reported having accessed RIAC services during the same period to derive the sizes of IDU population in each study districts. The estimated sizes of IDU population in five districts were: 7353 (95% CI: 6759-8123) in Imphal West, 5806 (95% CI: 5635-6054) in Imphal East, 3816 (95% CI: 3571-4139) in Thoubal, 2615 (95% CI: 2528-2731) in Churachandpur and 2137 (95% CI: 1979-2343) in Bishenpur district. Multiplier method seems to be a feasible indirect technique which can be applied to estimate of IDU population using existing data from intervention programs in settings like Manipur where reliable size estimation of IDU population is lacking.

Highlights

  • The HIV epidemic in Manipur, the highest HIV prevalence state of India, is primarily driven by injecting drug use

  • According to the latest HIV sentinel surveillance report, the prevalence of HIV among injecting drug users (IDU) in the state is about 18% [6,7]

  • Reliable estimation of the size of IDU population is essential for policy advocacy, allocating resources for prevention interventions, treatment and care, estimations and projection of numbers of persons infected with HIV, and monitoring and evaluation of interventions [8]

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Summary

Introduction

The HIV epidemic in Manipur, the highest HIV prevalence state of India, is primarily driven by injecting drug use. Availability of IDU registries maintained by intervention programs in Manipur provides an opportunity to use this multiplier method for estimating the size of IDU population in this state. We carried out a study in Manipur to describe the use of multiplier method to estimate the size of IDU population from the available program data.

Results
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