Emerging epidemics of HIV in Russia, India and China will largely determine the future course of the HIV pandemic. Injecting drug use has been a major source of new infections in these countries. The evolving role of injecting drug use and sexual transmission in driving these emerging epidemics is investigated using a mathematical model. HIV prevalence projections based on behavioural data for urban Russia result in a wide range of possible outcomes, reflecting uncertainty in estimates of adult sexual behaviour. Surveys of adult sexual behaviour in all the three countries are limited, and represent a research priority if the futures of these emerging epidemics are to be better understood. Analysis of behavioural correlates with adult HIV pr...
Objective An increasing number of countries have been estimating the distribution of new adult HIV i...
OBJECTIVE: Although our understanding of viral transmission among people who inject drugs (PWID) has...
BACKGROUND: In south India, general population HIV prevalence estimates range from 0.5 to 3%. To foc...
Emerging epidemics of HIV in Russia, India and China will largely determine the future course of the...
BACKGROUND: HIV infection is prevalent among drug injectors in St. Petersburg and their non-injectin...
Sexual transmission of HIV from injection drug users (IDUs) to their non-IDU sex partners has been c...
This paper presents a mathematical model of the HIV/AIDS epidemic in Kunming, the provincial capital...
Aims: We review recent evidence of trends in HIV infection, risk behaviour and HIV prevention associ...
Background People who inject drugs (PWID) are at elevated risk of HIV infection. Data on population ...
BACKGROUND: The aim of the study was to measure risk of HIV and HCV infection among injecting drug u...
The purpose of this study is designed for predicting the epidemic process and to improve preventive ...
OBJECTIVE: To establish the prevalence of antibodies to HIV (anti-HIV) and associated risk factors a...
Injecting drug use continues to be a primary driver of HIV epidemics in many parts of the world. Man...
OBJECTIVE: To measure HIV prevalence and associated risk factors among recent initiates into drug in...
Since 2005 there has been a 24% decrease in global AIDS-related deaths (1). Even still, in 2011 2.5 ...
Objective An increasing number of countries have been estimating the distribution of new adult HIV i...
OBJECTIVE: Although our understanding of viral transmission among people who inject drugs (PWID) has...
BACKGROUND: In south India, general population HIV prevalence estimates range from 0.5 to 3%. To foc...
Emerging epidemics of HIV in Russia, India and China will largely determine the future course of the...
BACKGROUND: HIV infection is prevalent among drug injectors in St. Petersburg and their non-injectin...
Sexual transmission of HIV from injection drug users (IDUs) to their non-IDU sex partners has been c...
This paper presents a mathematical model of the HIV/AIDS epidemic in Kunming, the provincial capital...
Aims: We review recent evidence of trends in HIV infection, risk behaviour and HIV prevention associ...
Background People who inject drugs (PWID) are at elevated risk of HIV infection. Data on population ...
BACKGROUND: The aim of the study was to measure risk of HIV and HCV infection among injecting drug u...
The purpose of this study is designed for predicting the epidemic process and to improve preventive ...
OBJECTIVE: To establish the prevalence of antibodies to HIV (anti-HIV) and associated risk factors a...
Injecting drug use continues to be a primary driver of HIV epidemics in many parts of the world. Man...
OBJECTIVE: To measure HIV prevalence and associated risk factors among recent initiates into drug in...
Since 2005 there has been a 24% decrease in global AIDS-related deaths (1). Even still, in 2011 2.5 ...
Objective An increasing number of countries have been estimating the distribution of new adult HIV i...
OBJECTIVE: Although our understanding of viral transmission among people who inject drugs (PWID) has...
BACKGROUND: In south India, general population HIV prevalence estimates range from 0.5 to 3%. To foc...