When and why? Timing of post-migration HIV acquisition among sub-Saharan migrants in France

ObjectiveRecent studies highlighted that many HIV-positive migrants in Europe acquired their infections post-migration. However, the timing of these infections is not always known. This study aims to estimate the timing of post-migration HIV acquisition among sub-Saharan migrants in France and to understand the correlates of post-migration infection.MethodsWithin the PARCOURS retrospective survey conducted in 2012–2013 in 74 healthcare facilities in the Paris region, life-event data were collected among a random sample of 926 patients living with HIV in HIV services and 763 patients undiagnosed with HIV in primary care centres born in sub-Saharan Africa (reference group). Based on previous analysis, we considered the first 6 years in France after migration as a settlement period. Among the persons who acquired HIV after migration, we estimated the proportion of persons infected during settlement (0–6 years after migration) and after settlement (>6 years after migration) by using an algorithm that combines life-event data and a modelisation of CD4+ T-cell count decline. We then assessed the determinants of HIV acquisition during settlement and after settlement using bivariate logistic regression models.ResultsOverall, 58% of sub-Saharan migrants who acquired HIV after migration were infected during the first 6 years in France. HIV acquisition during settlement was found to be linked to short/transactional partnerships and lack of a resident permit. 42% of migrants had contracted HIV after settlement. After settlement, HIV acquisition was associated with short/transactional but also with concurrent partnerships and not with social hardship.ConclusionTwo profiles of HIV post-migration acquisition emerged. The majority of HIV post-migration acquisition occurs during the settlement period: comprehensive combination prevention programmes among recently arrived migrants are needed. However, long-term migrants are also at risk for HIV through multiple partnerships. Prevention programmes should address the different profiles of migrants at risk for post-migration HIV acquisition.

Adolescents Discussing Sexual Behaviors With Key Influencing Audiences

There is an increasing concern on early initiation of sexual activity among adolescents, increasing sexually transmitted infections, and teenage pregnancy in Uganda. Adolescents perceptions of these sexual behaviors might be the result of discussing sexual and reproductive health issues with key influencing audiences. This study qualitatively explored the effect of sexuality discussions with key influencing audiences by means of in-depth interviews and focus group discussions with adolescents (N=83). Findings indicate that adolescence stage comes with changes of intense sexual desires, often presumed difficult to control thus leading adolescents to engage in sexual activities. Adolescents indicated that they were aware of the sexual behaviors such as condom use, contraception use, and multiple concurrent partnerships, but intertwined with persistent myths and misconceptions. Although discussing sexuality issues with someone was found to be instrumental, adolescent highlighted challenges that hinder discussion with key influencers. Challenges include, parents lack of time to talk to their children; some religious affiliations perceived to discourage use of contraception; limited skills of community health workers to address adolescent information needs; meetings held in groups not followed up with age-focused or one-on-one discussions; negative health workers’ attitudes and use of technical language; and peer pressure. These findings suggest the need to provide adequate and updated information to clear any misconceptions and strengthening of key influencers’ communication skills to gain confidence in addressing adolescent sexual and reproductive health needs.

African American Women and Sexually Transmitted Infections: The Contextual Influence of Unbalanced Sex Ratios and Individual Risk Behaviors

This study uses data from 564 African American women to examine the correlates of lifetime prevalence of a sexually transmitted infection (STI). Specifically, we test the effects of perceptions about the availability of African American males, five partner characteristics, and drug history. At the bivariate level, women with an STI diagnosis were significantly more likely to have dated a man who was married, older, had sex with another man, involved in concurrent partnerships, and had been incarcerated. About half of the participants stated it was difficult to find an eligible African American male and attributed the limited pool of same-race partners to drug trafficking, a lack of monogamy, and high rates of incarceration. Multivariate analyses revealed having dated a man who had concurrent sexual partnerships or had been incarcerated, as well as drug use during sex were positively associated with ever having an STI. Individual and contextual implications are addressed.

Modeling disease spread in populations with birth, death, and concurrency

The existence of sexual partnerships that overlap in time (concurrent relationships) is believed by some to be a significant contributing factor to the spread of HIV, although this is controversial. We derive an analytic model which allows us to investigate and compare disease spread in populations with and without concurrency. We can identify regions of parameter space in which its impact is negligible, and other regions in which it plays a major role. We also see that the impact of concurrency on the initial growth phase can be much larger than its impact on the equilibrium size. We see that the effect of concurrency saturates, which leads to the perhaps surprising conclusion that interventions targeting concurrency may be most effective in populations with low to moderate levels of concurrency.Author SummaryWe consider the spread of an infectious disease through a population modeled by a dynamic network with demographic turnover. We develop a stochastic model of the disease and derive governing equations that exactly predict the large population (deterministic) limit of the stochastic model. We use this to investigate the role of concurrency and find that interventions targeting concurrency may be most effective in populations with lower levels of concurrency.Our model is not intended to be an accurate representation of any single population. Rather it is intended to give general insights for intervention design and to provide a framework which can be further specialized to particular populations.This model is the first model to allow for analytic investigation of the impact of concurrent partnerships in a population exhibiting demographic turnover. Thus it will be useful for investigating the “concurrency hypothesis.”