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Introduction: High levels of HIV seroconcordance at the population level reduce the potential for effective HIV transmission. However, the level of HIV seroconcordance is largely unknown among heterosexual couples in sub-Saharan Africa. We aimed to quantify the population level HIV seroconcordance in stable heterosexual couples in rural South Africa. Methods: We followed adults (>15 years old) using a population-based, longitudinal and open surveillance system in KwaZulu-Natal, South Africa, from 2003 to 2016. Sexual partnerships and HIV status were confirmed via household surveys and annua HIV surveillance. We calculated the proportions of HIV seroconcordance and serodiscordance in stable sexual partnerships and compared them to the expected proportions under the assumption of random mixing using individual-based microsimulation models. Among unpartnered individuals, we estimated the incidence rates and hazard of sexual partnership formation with HIV-positive or HIV-negative partners by participants' own time-varying HIV status. Competing risks survival regressions were fitted adjusting for sociodemographic and clinical factors. We also calculated Newman's assortativity coefficients. Results: A total of 18,341 HIV-negative and 11,361 HIV-positive individuals contributed 154,469 person-years (PY) of follow-up. Overall, 28% of the participants were in stable sexual partnerships. Of the 677 newly formed stable sexual partnerships, 7.7% (95% CI: 5.8 to 10.0) were HIV-positive seroconcordant (i.e. both individuals in the partnership were HIV-positive), which was three times higher than the expected proportion (2.3%) in microsimulation models based on random mixing. The incidence rates of sexual partnership formation were 0.54/1000PY with HIV-positive, 1.12/1000PY with HIV-negative and 2.65/1000PY with unknown serostatus partners. HIV-positive individuals had 2.39 (95% CI: 1.43 to 3.99) times higher hazard of forming a sexual partnership with an HIV-positive partner than did HIV-negative individuals after adjusting for age, opposite-sex HIV prevalence (by 5-years age groups), HIV prevalence in the surrounding community, ART coverage and other sociodemographic factors. Similarly, forming a sexual partnership with an HIV-negative partner was 1.47 (95% CI: 1.01 to 2.14) times higher in HIV-negative individuals in the adjusted model. Newman's coefficient also showed that assortativity by participant and partner HIV status was moderate (r = 0.35). Conclusions: A high degree of population level HIV seroconcordance (both positive and negative) was observed at the time of forming new sexual partnerships. Understanding factors driving these patterns may help the development of strategies to bring the HIV epidemic under control. Keywords: HIV; seroconcordance; serosorting; heterosexual couples; sexual partnership; assortative sexual mixing; South Africa Additional information may be found under the Supporting Information tab for this article., 1 | INTRODUCTION It is estimated that about one out of five adults in South Africa were living with HIV in 2018 [1,2]. In sub-Saharan Africa (SSA), there is increasing [...]

: Introduction: Population‐based biomarker surveys are the gold standard for estimating HIV prevalence but are susceptible to substantial non‐participation (up to 30%). Analytical missing data methods, including inverse‐probability weighting (IPW) and multiple imputation (MI), are biased when data are missing‐not‐at‐random, for example when people living with HIV more frequently decline participation. Heckman‐type selection models can, under certain assumptions, recover unbiased prevalence estimates in such scenarios. Methods: We pooled data from 142,706 participants aged 15–49 years from nationally representative cross‐sectional Population‐based HIV Impact Assessments in seven countries in sub‐Saharan Africa, conducted between 2015 and 2018 in Tanzania, Uganda, Malawi, Zambia, Zimbabwe, Lesotho and Eswatini. We compared sex‐stratified HIV prevalence estimates from unadjusted, IPW, MI and selection models, controlling for household and individual‐level predictors of non‐participation, and assessed the sensitivity of selection models to the copula function specifying the correlation between study participation and HIV status. Results: In total, 84.1% of participants provided a blood sample to determine HIV serostatus (range: 76% in Malawi to 95% in Uganda). HIV prevalence estimates from selection models diverged from IPW and MI models by up to 5% in Lesotho, without substantial precision loss. In Tanzania, the IPW model yielded lower HIV prevalence estimates among males than the best‐fitting copula selection model (3.8% vs. 7.9%). Conclusions: We demonstrate how HIV prevalence estimates from selection models can differ from those obtained under missing‐at‐random assumptions. Further benefits include exploration of plausible relationships between participation and outcome. While selection models require additional assumptions and careful specification, they are an important tool for triangulating prevalence estimates in surveys with substantial missing data due to non‐participation., INTRODUCTION Accurate HIV prevalence estimates are crucial for monitoring HIV disease burden and guiding testing and clinical management. However, population‐based HIV biomarker surveys, the gold standard for estimating HIV prevalence, [...]

Introduction: Participation in antiretroviral therapy (ART) programmes has been associated with greater utilization of care for hypertension and diabetes in rural South Africa. The objective of this study was to assess whether people living with HIV on ART with comorbid hypertension or diabetes also have improved chronic disease management indicators. Methods: The Health and Aging in Africa: a longitudinal study of an INDEPTH Community in South Africa (HAALSI) is a cohort of 5059 adults >40 years old. Enrollment took place between November 2014 and November 2015. The study collected population-based data on demographics, healthcare utilization, height, weight, blood pressure (BP) and blood glucose as well as HIV infection, HIV-1 RNA viral load (VL) and ART exposure. We used regression models to determine whether HIV care cascade stage (HIV-negative, HIV+ /No ART, ART/Detected HIV VL, and ART/Undetectable VL) was associated with diagnosis or treatment of hypertension or diabetes, and systolic blood pressure and glucose among those with diagnosed hypertension or diabetes. ART use was measured from drug level testing on dried blood spots. Results and discussion: Compared to people without HIV, ART/Undetectable VL was associated with greater awareness of hypertension diagnosis (adjusted risk ratio (aRR) 1.18, 95% CI: 1.09 to 1.28) and treatment of hypertension (aRR 1.24, 95% CI: 1.10 to 1.41) among those who met hypertension diagnostic criteria. HIV care cascade stage was not significantly associated with awareness of diagnosis or treatment of diabetes. Among those with diagnosed hypertension or diabetes, ART/Undetectable VL was associated with lower mean systolic blood pressure (5.98 mm Hg, 95% CI: 9.65 to 2.32) and lower mean glucose (3.77 mmol/L, 95% CI: 6.85 to 0.69), compared to being HIV-negative. Conclusions: Participants on ART with an undetectable VL had lower systolic blood pressure and blood glucose than the HIV-negative participants. HIV treatment programmes may provide a platform for health systems strengthening for cardiometabolic disease. Keywords: ART; HIV care cascade; diabetes; hypertension; health systems, 1 | INTRODUCTION As HIV-positive populations age in the era of widespread antiretroviral therapy (ART) availability, there is an urgent need to better understand the biological and health systems implications [...]

: Introduction: The “DREAMS Partnership” promotes a multi‐sectoral approach to reduce adolescent girls and young women's (AGYW) vulnerability to HIV in sub‐Saharan Africa. Despite widespread calls to combine structural, behavioural and biomedical HIV prevention interventions, this has not been delivered at scale. In this commentary, we reflect on the two‐year rollout of DREAMS in a high HIV incidence, rural and poor community in northern KwaZulu‐Natal, South Africa to critically appraise the capacity for a centrally co‐ordinated and AGYW‐focused approach to combination HIV prevention to support sustainable development for adolescents. Discussion: DREAMS employed a directed target‐focused approach in which local implementing partners were resourced to deliver defined packages to AGYW in selected geographical areas over two years. We argue that this approach, with high‐level oversight by government and funders, enabled the rapid roll‐out of ambitious multi‐sectoral HIV prevention for AGYW. It was most successful at delivering multiple interventions for AGYW when it built on existing infrastructure and competencies, and/or allocated resources to address existing youth development concerns of the community. The approach would have been strengthened if it had included a mechanism to solicit and then respond to the concerns of young women, for example gender‐related norms and how young women experience their sexuality, and if this listening was supported by versatility to adapt to the social context. In a context of high HIV vulnerability across all adolescents and youth, an over‐emphasis on targeting specific groups, whether geographically or by risk profile, may have hampered acceptability and reach of the intervention. Absence of meaningful engagement of AGYW in the development, delivery and leadership of the intervention was a lost opportunity to achieve sustainable development goals among young people and shift gender‐norms. Conclusions: Centrally directed and target‐focused scale‐up of defined packages of HIV prevention across sectors was largely successful in reaching AGYW in this rural South African setting rapidly. However, to achieve sustainable and successful long‐term youth development and transformation of gender‐norms there is a need for greater adaptability, economic empowerment and meaningful engagement of AGYW in the development and delivery of interventions. Achieving this will require sustained commitment from government and funders., INTRODUCTION In South Africa HIV incidence remains high, especially among adolescents and youth (10 to 25 years old) [1]. Although there is evidence of a decline in HIV incidence of [...]

Background: Individual‐level data are needed to optimize clinical care and monitor and evaluate HIV services. Confidentiality and security of such data must be safeguarded to avoid stigmatization and discrimination of people living with HIV. We set out to assess the extent that countries scaling up HIV services have developed and implemented guidelines to protect the confidentiality and security of HIV information. Methods: Questionnaires were sent to UNAIDS field staff in 98 middle‐ and lower‐income countries, some reportedly with guidelines (G‐countries) and others intending to develop them (NG‐countries). Responses were scored, aggregated and weighted to produce standard scores for six categories: information governance, country policies, data collection, data storage, data transfer and data access. Responses were analyzed using regression analyses for associations with national HIV prevalence, gross national income per capita, OECD income, receiving US PEPFAR funding, and being a G‐ or NG‐country. Differences between G‐ and NG‐countries were investigated using non‐parametric methods. Results: Higher information governance scores were observed for G‐countries compared with NG‐countries; no differences were observed between country policies or data collection categories. However, for data storage, data transfer and data access, G‐countries had lower scores compared with NG‐countries. No significant associations were observed between country score and HIV prevalence, per capita gross national income, OECD economic category, and whether countries had received PEPFAR funding. Conclusions: Few countries, including G‐countries, had developed comprehensive guidelines on protecting the confidentiality and security of HIV information. Countries must develop their own guidelines, using established frameworks to guide their efforts, and may require assistance in adapting, adopting and implementing them., Background Many middle‐ and lower‐income countries are scaling up HIV prevention, treatment, care and support services within the context of Universal Access [1] and achieving the Millennium Development Goals [2]. [...]

Introduction: Individuals' educational attainment has long been considered as a risk factor for HIV. However, little attention has been paid to the association between partner educational attainment and HIV infection. Methods: We conducted cross-sectional analysis of young women (aged 15-34) in 14 Demographic and Health Surveys from seven sub-Saharan Africa (SSA) countries with generalized HIV epidemics. We measured the degree of similarity in educational attainment (partner homophily) in 75,373 partnerships and evaluated the correlation between homophily and female HIV prevalence at the survey cluster level. We then used logistic regression to assess whether own and partner educational attainment was associated with HIV serostatus amongst 38,791 women. Results: Educational attainment was positively correlated within partnerships in both urban and rural areas of every survey (Newman assortativity coefficients between 0.09 and 0.44), but this correlation was not ecologically associated with HIV prevalence. At the individual level, larger absolute differences between own and partner educational attainment were associated with significantly higher HIV prevalence amongst women. This association was heterogeneous across countries, but not between survey waves. In contrast to other women, for those aged 25-34 who had secondary or higher education, a moreeducated partner was associated with lower HIV prevalence. Conclusions: HIV prevalence amongst women in SSA is associated not only with one's own education but also with that of one's partner. These findings highlight the importance of understanding how partners place individuals at risk of infection and suggest that HIV prevention efforts may benefit from considering partner characteristics. Keywords: sub-Saharan Africa; education; sexual partnerships; homophily; HIV; partner characteristics., Introduction Even in the context of a generalized HIV epidemic in sub-Saharan Africa (SSA), the risk of infection varies greatly within small geographic or social groupings [1-3]. As a result, [...]

Dear Editors, We read with interest Li and colleagues’ recent article in this journal [1], which conducted a systematic review and meta‐analysis of the literature on associations between intimate partner [...]