Analysis of a Targeted Intervention Programme on the Risk Behaviours of Injecting Drug Users in India: Evidence From the National Integrated Biological and Behavioural Surveillance Survey.

Objectives: This study provides insights on the impact of a targeted intervention (TI) programme on behaviour change among injecting drug users (IDUs) in India.

Methods: This paper examined the data from the Integrated Biological and Behavioural Surveillance 2014-2015 for IDUs in India. Logistic regression was performed to understand the factors (TI programme services) that affected injecting risk behaviours by adjusting for covariates.

District-level HIV estimates using the spectrum model in five states of India, 2017.

Decentralized response has been the hallmark of the National AIDS Control Programme in India. District-level HIV burden estimates quantifying the distribution of the epidemics are needed to enhance this decentralized response further to monitor the progress on prevention, testing, and treatment interventions. In this paper, we describe the methodology and results of district-level estimates using the Spectrum model piloted in 5 states of India under National AIDS Control Programme.

Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India.

Background & Objectives: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India's biennial HIV estimation 2017 process, data inputs, tool, methodology and epidemiological assumptions used to generate the HIV estimates and trends of key indicators for 2010-2017 at national and State/Union Territory levels.

Methods: Demographic Projection (DemProj) and AIDS Impact Modules (AIM) of Spectrum 5.

Aging of HIV epidemic in India: Insights from HIV estimation modeling under the national aids control programme.

People living with HIV are gradually getting older as a result of better survival with increased uptake of antiretroviral treatment in India. We aimed to quantify the aging HIV-infected population in India by undertaking a mathematical model analysis of 2017 rounds of HIV burden estimations under the National AIDS Control Programme. Our analysis projects that the mean age of HIV-infected people will increase from 38.

Sustained progress, but no room for complacency: Results of 2015 HIV estimations in India.

Background & Objectives: Evidence-based planning has been the cornerstone of India's response to HIV/AIDS. Here we describe the process, method and tools used for generating the 2015 HIV estimates and provide a summary of the main results.

Methods: Spectrum software supported by the UNAIDS was used to produce HIV estimates for India as a whole and its States/Union Territories.

Modelling and estimation of HIV prevalence and number of people living with HIV in India, 2010-2011.

This paper provides HIV estimation methodology used in India and key HIV estimates for 2010-2011. We used a modified version of the Spectrum tool that included an Estimation and Projection Package as part of its AIDS Impact Module. Inputs related to population size, age-specific pattern of fertility, gender-ratio at birth, age and gender-specific pattern of mortality, and volume and age-gender distribution of net migration were derived from census records, the Sample Registration System and large-scale demographic health surveys.

Estimate of HIV prevalence and number of people living with HIV in India 2008-2009.

Objectives: To update the estimation of the adult HIV prevalence and number of people living with HIV (PLHIV) in India for the year 2008-2009 with the combination of improved data and methods.

Design: Based on HIV sentinel surveillance (HSS) data and a set of epidemiological assumptions, estimates of HIV prevalence and burden in India have been derived.

Setting: HSS sites spread over all the States of India.