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MAPPING TRANSACTIONAL SEX ON THE TRANS-AFRICA HIGHWAY. Alan Ferguson 1 Chester Morris 2 1 Constella-Futures and University of Manitoba 2 University of Manitoba. Vulnerable people and vulnerable places. Even in generalized epidemics, vulnerable groups disproportionately affected
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MAPPING TRANSACTIONAL SEX ON THE TRANS-AFRICA HIGHWAY Alan Ferguson1 Chester Morris2 1 Constella-Futures and University of Manitoba 2 University of Manitoba
Vulnerable people and vulnerable places • Even in generalized epidemics, vulnerable groups disproportionately affected • Where epidemic has peaked, re-concentration of infection in vulnerable groups • Increasing evidence of locations that make people vulnerable to HIV
OBJECTIVES • Measure volume and characteristics of highway-based transactional sex on section of Trans-Africa highway • Identification of ’Hot Spots’ • Risk-avoidance practices and un-met needs • Client characteristics • Use of GIS in visualization and planning
1. GIS METHODS GPS mapping of stopovers between Mombasa and Kampala Mapping of aggregate data at national / regional level
METHODS 2. Sex Worker Diaries (n=578) • Completed for 28 consecutive days • Permit calculation of: • No. partners, liaisons, sexual acts • Condom use • Occupation of client • Sex during menses • Mobility
METHODS • Truckers FGDs (6) • Truckers surveys (4) • Sex Worker FGDs (22) • Truck Census (all stopovers) • Bar census / survey (1,007)
HIV Transmission • Using AVERT model, estimated that 3,200 – 4,200 new infections per annum from transactional sex on highway • Raising condom use to 90% would avert almost 2/3 of these new infections
CONCLUSIONS • High levels of highway-based transactional sex in E. Africa • Despite high levels of condom use, HIV transmission significant • Client base much wider than expected suggesting a ‘vulnerable places’ approach to programming • Both FSWs and truckers socially marginalized
CONCLUSIONS - Methodology • GIS proved to be effective in visualization and advocacy • Diaries are flexible and efficient means of generating data where recall and social desirability biases are present