Dataset Information

The epidemiology of HIV population viral load in twelve sub-Saharan African countries.

ABSTRACT:

Background

We examined the epidemiology and transmission potential of HIV population viral load (VL) in 12 sub-Saharan African countries.

Methods

We analyzed data from Population-based HIV Impact Assessments (PHIAs), large national household-based surveys conducted between 2015 and 2019 in Cameroon, Cote d'Ivoire, Eswatini, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. Blood-based biomarkers included HIV serology, recency of HIV infection, and VL. We estimated the number of people living with HIV (PLHIV) with suppressed viral load (<1,000 HIV-1 RNA copies/mL) and with unsuppressed viral load (viremic), the prevalence of unsuppressed HIV (population viremia), sex-specific HIV transmission ratios (number female incident HIV-1 infections/number unsuppressed male PLHIV per 100 persons-years [PY] and vice versa) and examined correlations between a variety of VL metrics and incident HIV. Country sample sizes ranged from 10,016 (Eswatini) to 30,637 (Rwanda); estimates were weighted and restricted to participants 15 years and older.

Results

The proportion of female PLHIV with viral suppression was higher than that among males in all countries, however, the number of unsuppressed females outnumbered that of unsuppressed males in all countries due to higher overall female HIV prevalence, with ratios ranging from 1.08 to 2.10 (median: 1.43). The spatial distribution of HIV seroprevalence, viremia prevalence, and number of unsuppressed adults often differed substantially within the same countries. The 1% and 5% of PLHIV with the highest VL on average accounted for 34% and 66%, respectively, of countries' total VL. HIV transmission ratios varied widely across countries and were higher for male-to-female (range: 2.3-28.3/100 PY) than for female-to-male transmission (range: 1.5-10.6/100 PY). In all countries mean log10 VL among unsuppressed males was higher than that among females. Correlations between VL measures and incident HIV varied, were weaker for VL metrics among females compared to males and were strongest for the number of unsuppressed PLHIV per 100 HIV-negative adults (R2 = 0.92).

Conclusions

Despite higher proportions of viral suppression, female unsuppressed PLHIV outnumbered males in all countries examined. Unsuppressed male PLHIV have consistently higher VL and a higher risk of transmitting HIV than females. Just 5% of PLHIV account for almost two-thirds of countries' total VL. Population-level VL metrics help monitor the epidemic and highlight key programmatic gaps in these African countries.

SUBMITTER: Hladik W

PROVIDER: S-EPMC10292693 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

The epidemiology of HIV population viral load in twelve sub-Saharan African countries.

Hladik Wolfgang W Stupp Paul P McCracken Stephen D SD Justman Jessica J Ndongmo Clement C Shang Judith J Dokubo Emily K EK Gummerson Elizabeth E Koui Isabelle I Bodika Stephane S Lobognon Roger R Brou Hermann H Ryan Caroline C Brown Kristin K Nuwagaba-Biribonwoha Harriet H Kingwara Leonard L Young Peter P Bronson Megan M Chege Duncan D Malewo Optatus O Mengistu Yohannes Y Koen Frederix F Jahn Andreas A Auld Andrew A Jonnalagadda Sasi S Radin Elizabeth E Hamunime Ndapewa N Williams Daniel B DB Kayirangwa Eugenie E Mugisha Veronicah V Mdodo Rennatus R Delgado Stephen S Kirungi Wilford W Nelson Lisa L West Christine C Biraro Samuel S Dzekedzeke Kumbutso K Barradas Danielle D Mugurungi Owen O Balachandra Shirish S Kilmarx Peter H PH Musuka Godfrey G Patel Hetal H Parekh Bharat B Sleeman Katrina K Domaoal Robert A RA Rutherford George G Motsoane Tsietso T Bissek Anne-Cécile Zoung-Kanyi AZ Farahani Mansoor M Voetsch Andrew C AC

PloS one 20230626 6

<h4>Background</h4>We examined the epidemiology and transmission potential of HIV population viral load (VL) in 12 sub-Saharan African countries.<h4>Methods</h4>We analyzed data from Population-based HIV Impact Assessments (PHIAs), large national household-based surveys conducted between 2015 and 2019 in Cameroon, Cote d'Ivoire, Eswatini, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. Blood-based biomarkers included HIV serology, recency of HIV infection, and VL ...[more]

PMID: 37363921

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Project description:IntroductionHIV incidence varies widely between sub-Saharan African (SSA) countries. This variation coincides with a substantial sociobehavioural heterogeneity, which complicates the design of effective interventions. In this study, we investigated how sociobehavioural heterogeneity in sub-Saharan Africa could account for the variance of HIV incidence between countries.MethodsWe analysed aggregated data, at the national-level, from the most recent Demographic and Health Surveys of 29 SSA countries (2010-2017), which included 594,644 persons (183,310 men and 411,334 women). We preselected 48 demographic, socio-economic, behavioural and HIV-related attributes to describe each country. We used Principal Component Analysis to visualize sociobehavioural similarity between countries, and to identify the variables that accounted for most sociobehavioural variance in SSA. We used hierarchical clustering to identify groups of countries with similar sociobehavioural profiles, and we compared the distribution of HIV incidence (estimates from UNAIDS) and sociobehavioural variables within each cluster.ResultsThe most important characteristics, which explained 69% of sociobehavioural variance across SSA among the variables we assessed were: religion; male circumcision; number of sexual partners; literacy; uptake of HIV testing; women's empowerment; accepting attitude toward people living with HIV/AIDS; rurality; ART coverage; and, knowledge about AIDS. Our model revealed three groups of countries, each with characteristic sociobehavioural profiles. HIV incidence was mostly similar within each cluster and different between clusters (median (IQR); 0.5/1000 (0.6/1000), 1.8/1000 (1.3/1000) and 5.0/1000 (4.2/1000)).ConclusionsOur findings suggest that the combination of sociobehavioural factors play a key role in determining the course of the HIV epidemic, and that similar techniques can help to predict the effects of behavioural change on the HIV epidemic and to design targeted interventions to impede HIV transmission in SSA.

Project description:ObjectivesOne Health is transiting from multidisciplinary to transdisciplinary concepts and its viewpoints should move from 'proxy for zoonoses', to include other topics (climate change, nutrition and food safety, policy and planning, welfare and well-being, antimicrobial resistance (AMR), vector-borne diseases, toxicosis and pesticides issues) and thematic fields (social sciences, geography and economics). This work was conducted to map the One Health landscape in Africa.MethodsAn assessment of existing One Health initiatives in Sub-Saharan African (SSA) countries was conducted among selected stakeholders using a multi-method approach. Strengths, weaknesses, opportunities and threats to One Health initiatives were identified, and their influence, interest and impacts were semi-quantitatively evaluated using literature reviews, questionnaire survey and statistical analysis.ResultsOne Health Networks and identified initiatives were spatiotemporally spread across SSA and identified stakeholders were classified into four quadrants. It was observed that imbalance in stakeholders' representations led to hesitation in buying-in into One Health approach by stakeholders who are outside the main networks like stakeholders from the policy, budgeting, geography and sometimes, the environment sectors.ConclusionInclusion of theory of change, monitoring and evaluation frameworks, and tools for standardized evaluation of One Health policies are needed for a sustained future of One Health and future engagements should be outputs- and outcomes-driven and not activity-driven. National roadmaps for One Health implementation and institutionalization are necessary, and proofs of concepts in One Health should be validated and scaled-up. Dependence on external funding is unsustainable and must be addressed in the medium to long-term. Necessary policy and legal instruments to support One Health nationally and sub-nationally should be implemented taking cognizance of contemporary issues like urbanization, endemic poverty and other emerging issues. The utilization of current technologies and One Health approach in addressing the ongoing pandemic of COVID-19 and other emerging diseases are desirable. Finally, One Health implementation should be anticipatory and preemptive, and not reactive in containing disease outbreaks, especially those from the animal sources or the environment before the risk of spillover to human.

Project description:BackgroundThe United Nations' 95-95-95 (95% of people with HIV being aware of their diagnosis, 95% of those aware of their diagnosis being on treatment and 95% achieving viral suppression) target aims to reduce morbidity and mortality of HIV. However, with 60% of new HIV infections occurring in sub-Saharan Africa (SSA), achieving this target in the region is challenging. Viral load (VL) monitoring is the gold-standard approach of assessing treatment efficacy, and its implementation into national health systems is a global health priority if elimination of HIV as a public health threat is to be achieved by 2030. This systematic review aims to investigate VL monitoring outcomes in SSA, and to identify gaps and possible interventions to help nations meet their 2030 targets.MethodsA literature search of three electronic platforms (MEDLINE, EMBASE and Global Health) was undertaken from 1 January to 9 August 2024 to identify studies published in English and conducted in SSA. The primary outcome was the proportion of people living with HIV (PLHIV) on antiretroviral therapy (ART) with routine VL monitoring at the recommended time points (initially, 6 months, 12 months and annually). Secondary outcomes reported proportions of PLHIV who received routine VL monitoring who went on to complete the cascade of care after identified virological failure [enhanced adherence counselling (EAC), switch to second-line ART, and finally viral suppression].ResultsThe initial search identified 342 papers, of which 35 studies were included for narrative synthesis. Included studies reported on findings from 14 African countries and demonstrated extensive variation in rates of VL monitoring (range: 24.3-99.7%, mean: 63.8%). Results were more unfavourable in the latter steps of the viral load monitoring cascade, with a range of 0-88%, and a switch to second-line ART mean of 42% (range: 4.4-93%). Studies with additional support, and those with community-based models of care, had higher rates of VL testing and viral suppression.ConclusionsVL monitoring and management of virological failure are suboptimal in many SSA countries due to individual and health system-related challenges. Health system strengthening is vital to ensure the sustainability of HIV treatment programmes and the achievement of 95-95-95 targets by 2030.

Project description:BackgroundLimited information exists on adults ≥50 years receiving HIV care in sub-Saharan Africa.MethodologyUsing routinely-collected longitudinal patient-level data among 391,111 adults ≥15 years enrolling in HIV care from January 2005-December 2010 and 184,689 initiating ART, we compared characteristics and outcomes between older (≥50 years) and younger adults at 199 clinics in Kenya, Mozambique, Rwanda, and Tanzania. We calculated proportions over time of newly enrolled and active adults receiving HIV care and initiating ART who were ≥50 years; cumulative incidence of loss to follow-up (LTF) and recorded death one year after enrollment and ART initiation, and CD4+ response following ART initiation.FindingsFrom 2005-2010, the percentage of adults ≥50 years newly enrolled in HIV care remained stable at 10%, while the percentage of adults ≥50 years newly initiating ART (10% [2005]-12% [2010]), active in follow-up (10% [2005]-14% (2010]), and active on ART (10% [2005]-16% [2010]) significantly increased. One year after enrollment, older patients had significantly lower incidence of LTF (33.1% vs. 32.6%[40-49 years], 40.5%[25-39 years], and 56.3%[15-24 years]; p-value<0.0001), but significantly higher incidence of recorded death (6.0% vs. 5.0% [40-49 years], 4.1% [25-39 years], and 2.8% [15-24 years]; p-valve<0.0001). LTF was lower after vs. before ART initiation for all ages, with older adults experiencing less LTF than younger adults. Among 85,763 ART patients with baseline and follow-up CD4+ counts, adjusted average 12-month CD4+ response for older adults was 20.6 cells/mm3 lower than for adults 25-39 years of age (95% CI: 17.1-24.1).ConclusionsThe proportion of patients who are ≥50 years has increased over time and been driven by aging of the existing patient population. Older patients experienced less LTF, higher recorded mortality and less robust CD4+ response after ART initiation. Increased programmatic attention on older adults receiving HIV care in sub-Saharan Africa is warranted.

Dataset Information

The epidemiology of HIV population viral load in twelve sub-Saharan African countries.

Background

Methods

Results

Conclusions

Publications

The epidemiology of HIV population viral load in twelve sub-Saharan African countries.

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