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Court-based research: collaborating with the justice system to enhance STI services for vulnerable women in the US http://t.co/3vEaFQVO
The fractal queerness of non-heteronormative migrant #sexworkers in the UK by Nick Mae http://t.co/X7oGFeDI
‘only 31% of the sample of indirect sex workers reported having been engaged in commercial sex in the last 12 months’
Old but good. Violence and Exposure to HIV among #sexworkers in Phnom Penh http://t.co/rkrRGiBa
Someone is Wrong on the Internet: #sex workers’ access to accurate information http://t.co/aMSXhygd
 

edited author abstract

Use of AUDIT, and measures of drinking frequency and patterns to detect associations between alcohol and sexual behaviour in male sex workers in Kenya

Previous research has linked alcohol use with an increased number of sexual partners, inconsistent condom use and a raised incidence of sexually transmitted infections (STIs). However, alcohol measures have been poorly standardised, with many ill-suited to eliciting, with adequate precision, the relationship between alcohol use and sexual risk behaviour. This study investigates which alcohol indicator – single-item measures of frequency and patterns of drinking ( > = 6 drinks on 1 occasion), or the Alcohol Use Disorders Identification Test (AUDIT) – can detect associations between alcohol use and unsafe sexual behaviour among male sex workers. Methods: A cross-sectional survey in

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Experience of violence and adverse reproductive health outcomes, HIV risks among mobile female sex workers in India

Article in BMC Public Health 2011, 11:357. Female sex workers are a population sub-group most affected by the HIV epidemic in India and elsewhere. Despite research and programmatic attention to FSWs, little is known regarding sex workers’ reproductive health and HIV risk in relation to their experiences of violence. This paper in BMC Public Health therefore aims to understand the linkages between violence and the reproductive health and HIV risks among a group of mobile FSWs in India. Methods Data are drawn from a cross-sectional behavioural survey conducted in 22 districts from four high HIV prevalence states (Andhra Pradesh, Karnataka, Maharashtra,

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