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What Works for Women and Girls

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underst<strong>and</strong>ing the epidemic in any given population. R 0“is the number of secondary caseswhich one case would produce in a completely susceptible population [which] depends on theduration of the infectious period, the probability of infecting a susceptible individual during onecontact, <strong>and</strong> the number of new susceptible individuals contacted per unit of time” (Dietz, 1993:23). Not surprisingly, the reproductive number <strong>for</strong> HIV varies considerably within <strong>and</strong> acrosscountries <strong>and</strong> among groups within countries. For this reason, interventions need to be carefullytailored <strong>for</strong> various groups.Operating in specific socioeconomic, cultural (including gender), <strong>and</strong> demographicsettings, interventions, such as counseling <strong>and</strong> testing, must affect “proximate determinants”such as number of concurrent partners, condom use, blood safety practices, etc., which mustact through biological determinants (exposure, efficiency of transmission per contact <strong>and</strong> durationof infectivity) to affect HIV transmission. “The distinction between underlying <strong>and</strong> proximatedeterminants is important <strong>for</strong> the conceptualization of pathways through which underlyingdeterminants, including interventions, may affect infection” (Boerma <strong>and</strong> Weir, 2005:S64). Thus, when interventions are determined to work in this compendium of evidence, theyhave been shown to work through a pathway to affecting HIV—or at least a proximate determinant,such as partner reduction or condom use. Yet, a word of caution is due unless biologicaloutcomes are measured. For example, it is possible <strong>for</strong> an intervention to increase condom usebut “the effect of such an increase would depend on the extent to which condoms were usedduring sexual contact between infected <strong>and</strong> susceptible partners” (Boerma <strong>and</strong> Weir, 2005:S66). In this compendium, examples of interventions that improve proximate determinantswith no impact on HIV are noted.Rates of HIV prevalence reflect infections that have happened in the past. There<strong>for</strong>e, it isimportant that programs <strong>and</strong> policies be based on the question: “Where will the next 1,000infections occur?” (Bertozzi et al., 2008: 833). Policy <strong>and</strong> program responses to this questionmust be based on a clear underst<strong>and</strong>ing of the epidemiology of HIV, an underst<strong>and</strong>ing of thecontexts in which women <strong>and</strong> girls live <strong>and</strong> the factors that make them vulnerable to HIVinfection <strong>and</strong> evidence of what works.Search MethodologyTo search <strong>for</strong> relevant interventions that had been evaluated, SCOPUS 2 searches were conducted<strong>for</strong> 2005–2009, using the search words HIV or AIDS <strong>and</strong> women. Additional topics wereresearched using “syphilis <strong>and</strong> HIV;” “gender <strong>and</strong> HIV;” “malaria <strong>and</strong> HIV;” “breastfeeding<strong>and</strong> HIV;” <strong>and</strong> “abortion <strong>and</strong> HIV.” For the years 2005 to 2009, a total of 7,744 citations weregenerated. Of these citations, approximately 2,500 articles were reviewed in full. If the articletitle indicated that there might be an intervention that could be replicated; then the article2 Scopus is the largest abstract <strong>and</strong> citation database of peer-reviewed literature <strong>and</strong> quality web sources withsmart tools to track, analyze <strong>and</strong> visualize research (http://info.scopus.com/scopus-in-detail/facts/)36 CHAPTER 2 METHODOLOGY

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