127 results found
Edun O, Shenderovich Y, Zhou S, et al., 2022, Predictors and consequences of HIV status disclosure to adolescents living with HIV in Eastern Cape, South Africa: a prospective cohort study, Journal of the International AIDS Society, ISSN: 1758-2652
Telford CT, Tessema Z, Msukwa M, et al., 2022, Geospatial transmission hotspots of recent HIV infection — Malawi, October 2019–March 2020, MMWR. Morbidity and Mortality Weekly Report, Vol: 71, Pages: 329-334, ISSN: 0149-2195
What is already known about this topic?A novel HIV infection surveillance initiative was implemented in Malawi to collect data on recent HIV infections among new diagnoses to characterize the epidemic and guide the public health response.What is added by this report?Higher proportions of recent infections were identified among females, persons aged <30 years, and clients at maternal and child health and youth clinics. Spatial analysis identified three hotspots of health facilities with significantly higher rates of recent infection than expected across five districts.What are the implications for public health practice?Geospatial analysis of recent HIV infection surveillance data can identify potential transmission hotspots. This information could be used to tailor program activities to strengthen HIV testing, prevention, and treatment services and ultimately interrupt transmission.
Hodgins C, Stannah J, Kuchukhidze S, et al., 2022, Population sizes, HIV prevalence, and HIV prevention among men who paid for sex in sub-Saharan Africa (2000-2020): a meta-analysis of 87 population-based surveys, PLoS Medicine, Vol: 19, ISSN: 1549-1277
BACKGROUND: Key populations, including sex workers, are at high risk of HIV acquisition and transmission. Men who pay for sex can contribute to HIV transmission through sexual relationships with both sex workers and their other partners. To characterize the population of men who pay for sex in sub-Saharan Africa (SSA), we analyzed population size, HIV prevalence, and use of HIV prevention and treatment. METHODS AND FINDINGS: We performed random-effects meta-analyses of population-based surveys conducted in SSA from 2000 to 2020 with information on paid sex by men. We extracted population size, lifetime number of sexual partners, condom use, HIV prevalence, HIV testing, antiretroviral (ARV) use, and viral load suppression (VLS) among sexually active men. We pooled by regions and time periods, and assessed time trends using meta-regressions. We included 87 surveys, totaling over 368,000 male respondents (15-54 years old), from 35 countries representing 95% of men in SSA. Eight percent (95% CI 6%-10%; number of surveys [Ns] = 87) of sexually active men reported ever paying for sex. Condom use at last paid sex increased over time and was 68% (95% CI 64%-71%; Ns = 61) in surveys conducted from 2010 onwards. Men who paid for sex had higher HIV prevalence (prevalence ratio [PR] = 1.50; 95% CI 1.31-1.72; Ns = 52) and were more likely to have ever tested for HIV (PR = 1.14; 95% CI 1.06-1.24; Ns = 81) than men who had not paid for sex. Men living with HIV who paid for sex had similar levels of lifetime HIV testing (PR = 0.96; 95% CI 0.88-1.05; Ns = 18), ARV use (PR = 1.01; 95% CI 0.86-1.18; Ns = 8), and VLS (PR = 1.00; 95% CI 0.86-1.17; Ns = 9) as those living with HIV who did not pay for sex. Study limitations include a reliance on self-report of sensitive behaviors and the small number of surveys with information on ARV use and VLS. CONCLUSIONS: Paying for sex is prevalent, and men who ever paid for sex were 50% more likely to be living with HIV compared to other men in the
Nsanzimana S, Rwibasira G, Malamba SS, et al., 2022, HIV incidence and prevalence among adults aged 15-64 years in Rwanda: Results from the Rwanda Population-based HIV Impact Assessment (RPHIA) and District-level Modeling, 2019, International Journal of Infectious Diseases, Vol: 116, Pages: 245-254, ISSN: 1201-9712
ObjectivesThe 2018–19 Rwanda Population-based HIV Impact Assessment (RPHIA) was conducted to measure national HIV incidence and prevalence. District-level estimates were modeled to inform resources allocation.MethodsRPHIA was a nationally representative cross-sectional household survey. Consenting adults were interviewed and tested for HIV using the national diagnostic algorithm followed by laboratory-based confirmation of HIV status, and testing for viral load (VL), limiting antigen (LAg) avidity and presence of antiretrovirals. Incidence was calculated using normalized optical density ≤ 1•5, VL ≥ 1,000 copies/mL, and undetectable antiretrovirals. Survey and programmatic data were used to model district-level HIV incidence and prevalence.ResultsOf 31,028 eligible adults, 98•7% participated in RPHIA and 934 tested HIV positive. HIV prevalence among adults in Rwanda was 3•0% (95% CI:2•7–3•3). National HIV incidence was 0•08% (95% CI:0•02–0•14) and 0•11% (95% CI:0•00–0•26) in the City of Kigali (CoK). Based on district-level modeling, HIV incidence was greatest in the three CoK districts (0•11% to 0•15%) and varied across other districts (0•03% to 0•10%).ConclusionsHIV prevalence among adults in Rwanda is 3.0%; HIV incidence is low at 0.08%. District-level modeling has identified disproportionately affected urban hotspots: areas to focus resources.
Jia K, Eilerts H, Edun O, et al., 2022, Risk scores for predicting HIV incidence among adult heterosexual populations in sub-Saharan Africa: a systematic review and meta-analysis, Journal of the International AIDS Society, Vol: 25, ISSN: 1758-2652
Introduction: Several HIV risk scores have been developed to identify individuals for prioritised HIV prevention in sub-Saharan Africa. We systematically reviewed HIV risk scores to: (i) identify factors that consistently predicted incident HIV infection, (ii) review inclusion of community-level HIV risk in predictive models, and (iii) examine predictive performance. Methods: We searched nine databases from inception until February 15, 2021 for studies developing and/or validating HIV risk scores among the heterosexual adult population in sub-Saharan Africa. Studies not prospectively observing seroconversion or recruiting only key populations were excluded. Record screening, data extraction, and critical appraisal were conducted in duplicate. We used random-effects meta-analysis to summarise hazard ratios and the area under the receiver-operating characteristic curve (AUC-ROC). Results: From 1563 initial search records, we identified 14 risk scores in 13 studies. Seven studies were among sexually active women using contraceptives enrolled in randomised-controlled trials, three among adolescent girls and young women (AGYW), and three among cohorts enrolling both men and women. Consistently identified HIV prognostic 51 factors among women were younger age (pooled adjusted hazard ratio: 1.62 [95% 52 Confidence Interval: 1.17, 2.23], compared to above-25), single/not cohabiting with primary partners (2.33 [1.73, 3.13]) and having sexually transmitted infections (STIs) at baseline (HSV-2: 1.67 [1.34, 2.09]; curable STIs: 1.45 [1.17; 1.79]). Among AGYW only STIs were consistently associated with higher incidence, but studies were limited (n=3). Community-level HIV prevalence or unsuppressed viral load strongly predicted incidence but were only considered in three of 11 multi-site studies. The AUC-ROC ranged from 0.56 to 0.79 on the model development sets. Only the VOICE score was externally validated by multiple studies, with pooled AUC-ROC 0.626 [0.588, 0.663] (I2: 64.0
<jats:title>Abstract</jats:title><jats:p>Age at first sex (AFS) is a key indicator for monitoring sexual behaviour risk for HIV and sexually transmitted diseases. Reporting of AFS data, however, suffer social-desirability and recall biases which obscure AFS trends and inferences constructed from it. We illustrated examples of the biases using data from multiple nationally-representative Demographic and Health Surveys household surveys conducted between 1992 and 2019 in Ethiopia (4 surveys), Guinea (4 surveys), Senegal (8 surveys), and Zambia (8 surveys). Based on this, we proposed a time-to-event, interval censored model for the AFS that uses overlapping reports by the same birth cohort in successive surveys to adjust reporting biases. The three-parameter log-skew-logistic distribution described the asymmetric and nonmonotonic hazard exhibited by empirical AFS data. In cross-validation analysis, incorporating a term for AFS reporting bias as a function of age improved model predictions for the trend of AFS over birth cohorts. The interquartile range for the AFS was 16 years to 23 years for Ethiopian and Senegalese women and 15 years to 20 years for Guinean and Zambian men. Median AFS increased by around one to 1.5 years between the 1960 and 1989 birth cohorts for all four datasets. Younger male respondents tended to report a younger AFS while female respondents tended to report an older AFS than when asked in later surveys. Above age 30, both male and female respondents tended to report older AFS compared to when surveyed in their late twenties. Simulations validated that the model recovers the trend in AFS over birth cohorts in the presence of reporting biases. At least three surveys are needed to obtain reliable trend estimate for a 20-years trend. Mis-specified reference age at which reporting is assumed unbiased did not affect the trend estimate but resulted in biased estimates for the median AFS in the most recent birth cohorts.</jats:p>
Edun O, Shenderovich Y, Zhou S, et al., 2021, Predictors and consequences of HIV status disclosure to adolescents living with HIV in Eastern Cape, South Africa
<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>The World Health Organization recommends full disclosure of HIV-positive status to adolescents who acquired HIV perinatally (APHIV) by age 12. However, even among adolescents (aged 10-19) already on antiretroviral therapy (ART), disclosure rates are low. Caregivers often report the child being too young and fear of disclosure worsening adolescents’ mental health as reasons for non-disclosure. Evidence is limited about predictors of disclosure and its association with adherence, viral suppression, and mental health outcomes among adolescents in sub-Saharan Africa.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Analyses included three rounds (2014-2018) of data collected among a closed cohort of adolescents living with HIV in Eastern Cape, South Africa. We used logistic regression with respondent random-effects to identify factors associated with disclosure, and assess differences in ART adherence, viral suppression, and mental health symptoms between adolescents by disclosure status. We also explored differences in the change in mental health symptoms and ART adherence between study rounds and disclosure groups with logistic regression.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>813 APHIV were interviewed at baseline, of whom 769 (94.6%) and 729 (89.7%) were interviewed at the second and third rounds, respectively. The proportion aware of their HIV-positive status increased from 63.1% at the first round to 85.5% by the third round. Older age (adjusted odds ratio (aOR): 1.24; 1.07 – 1.43) and living in an urban location (aOR: 2.76; 1.67 – 4.45) were associated with disclosure between interviews. There was no association between awareness of HIV-positive status and ART adherence, viral suppression, or mental hea
Stapley J, Davis K, Dadirai T, et al., 2021, Impact of community-level ART coverage on HIV-related stigmatising attitude within a general population cohort in Manicaland, east Zimbabwe; a longitudinal study, 12th Annual International Conference on Stigma
Tlhajoane M, Dzamatira F, Kadzura N, et al., 2021, Incidence and predictors of attrition among patients receiving ART in eastern Zimbabwe before, and after the introduction of universal ‘treat-all’ policies: A competing risk analysis, PLOS Global Public Health, Vol: 1, Pages: 1-15
As HIV treatment is expanded, attention is focused on minimizing attrition from care. We evaluated the impact of treat-all policies on the incidence and determinants of attrition amongst clients receiving ART in eastern Zimbabwe. Data were retrospectively collected from the medical records of adult patients (aged≥18 years) enrolled into care from July 2015 to June 2016—pre-treat-all era, and July 2016 to June 2017—treat-all era, selected from 12 purposively sampled health facilities. Attrition was defined as an absence from care >90 days following ART initiation. Survival-time methods were used to derive incidence rates (IRs), and competing risk regression used in bivariate and multivariable modelling. In total, 829 patients had newly initiated ART and were included in the analysis (pre-treat-all 30.6%; treat-all 69.4%). Incidence of attrition (per 1000 person-days) increased between the two time periods (pre-treat-all IR = 1.18 (95%CI: 0.90–1.56) versus treat-all period IR = 1.62 (95%CI: 1.37–1.91)). In crude analysis, patients at increased risk of attrition were those enrolled into care during the treat-all period, <34 years of age, WHO stage I at enrolment, and had initiated ART on the same day as HIV diagnosis. After accounting for mediating clinical characteristics, the difference in attrition between the pre-treat-all, and treat-all periods ceased to be statistically significant. In a full multivariable model, attrition was significantly higher amongst same-day ART initiates (aSHR = 1.47, 95%CI:1.05–2.06). Implementation of treat-all policies was associated with an increased incidence of ART attrition, driven largely by ART initiation on the same day as HIV diagnosis which increased significantly in the treat all period. Differentiated adherence counselling for patients at increased risk of attrition, and improved access to clinical monitoring may improve retention in care.
Jahagirdar D, Walters MK, Novotney A, et al., 2021, Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990–2019, for 204 countries and territories: the Global Burden of Diseases Study 2019, The Lancet HIV, Vol: 8, Pages: e633-e651, ISSN: 2352-3018
BackgroundThe sustainable development goals (SDGs) aim to end HIV/AIDS as a public health threat by 2030. Understanding the current state of the HIV epidemic and its change over time is essential to this effort. This study assesses the current sex-specific HIV burden in 204 countries and territories and measures progress in the control of the epidemic.MethodsTo estimate age-specific and sex-specific trends in 48 of 204 countries, we extended the Estimation and Projection Package Age-Sex Model to also implement the spectrum paediatric model. We used this model in cases where age and sex specific HIV-seroprevalence surveys and antenatal care-clinic sentinel surveillance data were available. For the remaining 156 of 204 locations, we developed a cohort-incidence bias adjustment to derive incidence as a function of cause-of-death data from vital registration systems. The incidence was input to a custom Spectrum model. To assess progress, we measured the percentage change in incident cases and deaths between 2010 and 2019 (threshold >75% decline), the ratio of incident cases to number of people living with HIV (incidence-to-prevalence ratio threshold <0·03), and the ratio of incident cases to deaths (incidence-to-mortality ratio threshold <1·0).FindingsIn 2019, there were 36·8 million (95% uncertainty interval [UI] 35·1–38·9) people living with HIV worldwide. There were 0·84 males (95% UI 0·78–0·91) per female living with HIV in 2019, 0·99 male infections (0·91–1·10) for every female infection, and 1·02 male deaths (0·95–1·10) per female death. Global progress in incident cases and deaths between 2010 and 2019 was driven by sub-Saharan Africa (with a 28·52% decrease in incident cases, 95% UI 19·58–35·43, and a 39·66% decrease in deaths, 36·49–42·36). Elsewhere, the incidence remained stabl
<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>Several HIV risk scores have been developed to identify individuals for prioritised HIV prevention in sub-Saharan Africa. We systematically reviewed HIV risk scores to: (i) identify factors that consistently predicted incident HIV infection, (ii) review inclusion of community-level HIV risk in predictive models, and (iii) examine predictive performance.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We searched nine databases from inception until February 15, 2021 for studies developing and/or validating HIV risk scores among the heterosexual adult population in sub-Saharan Africa. Studies not prospectively observing seroconversion or recruiting only key populations were excluded. Record screening, data extraction, and critical appraisal were conducted in duplicate. We used random-effects meta-analysis to summarise hazard ratios and the area under the receiver-operating characteristic curve (AUC-ROC).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>From 1563 initial search records, we identified 14 risk scores in 13 studies. Seven studies were among sexually active women using contraceptives enrolled in randomised-controlled trials, three among adolescent girls and young women (AGYW), and three among cohorts enrolling both men and women. Consistently identified HIV prognostic factors among women were younger age (pooled adjusted hazard ratio: 1.62 [95% Confidence Interval: 1.17, 2.23], compared to above-25), single/not cohabiting with primary partners (2.33 [1.73, 3.13]) and having sexually transmitted infections (STIs) at baseline (HSV-2: 1.67 [1.34, 2.09]; curable STIs: 1.45 [1.17; 1.79]). Among AGYW only STIs were consistently associated with higher incidence, but studies were limited (n=3). Community-level HIV prevalence or uns
Eaton J, Dwyer-Lindgren L, Gutreuter S, et al., 2021, Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in Sub-Saharan Africa, Journal of the International AIDS Society, Vol: 24, Pages: 1-13, ISSN: 1758-2652
Introduction: HIV planning requires granular estimates for the number of people living withHIV (PLHIV), antiretroviral treatment (ART) coverage and unmet need, and new HIVinfections by district, or equivalent subnational administrative level. We developed aBayesian small-area estimation model, called Naomi, to estimate these quantities stratifiedby subnational administrative units, sex, and five-year age groups.Methods: Small-area regressions for HIV prevalence, ART coverage, and HIV incidencewere jointly calibrated using subnational household survey data on all three indicators,routine antenatal service delivery data on HIV prevalence and ART coverage amongpregnant women, and service delivery data on the number of PLHIV receiving ART.Incidence was modelled by district-level HIV prevalence and ART coverage. Model outputsof counts and rates for each indicator were aggregated to multiple geographic anddemographic stratifications of interest. The model was estimated in an empirical Bayesframework, furnishing probabilistic uncertainty ranges for all output indicators. Exampleresults were presented using data from Malawi during 2016 to 2018.Results: Adult HIV prevalence in September 2018 ranged from 3.2% to 17.1% acrossMalawi’s districts and was higher in southern districts and in metropolitan areas. ARTcoverage was more homogenous, ranging from 75% to 82%. The largest number of PLHIVwere among ages 35-39 for both women and men, while the most untreated PLHIV wereamong ages 25-29 for women and 30-34 for men. Relative uncertainty was larger for theuntreated PLHIV than the number on ART or total PLHIV. Among clients receiving ART atfacilities in Lilongwe City, an estimated 71% (95% CI 61–79%) resided in Lilongwe City, 20%(14–27%) in Lilongwe district outside the metropolis, and 9% (6–12%) in neighbouring Dowadistrict. Thirty-eight percent (26–50%) of Lilongwe Rural residents and 39% (27–50%) ofDowa residents received treatment at facilit
Mahiane SG, Eaton J, Glaubius R, et al., 2021, Updates to Spectrum’s Case Surveillance and Vital Registration tool for HIV estimates and projections, Journal of the International AIDS Society, Vol: 24, Pages: 1-9, ISSN: 1758-2652
Introduction: The Case Surveillance and Vital Registration (CSAVR) model within Spectrum estimates HIV incidence trends from surveillance data on numbers of new HIV diagnoses and HIV-related deaths. This article describes developments of the CSAVR tool to more flexibly model diagnosis rates over time, estimate incidence patterns by sex and age group, and by key population group. Methods: We modelled HIV diagnosis rate trends as a mixture of three factors, including temporal and opportunistic infection components. The tool was expanded to estimate incidence rate ratios by sex and age for countries with disaggregated reporting of new HIV diagnoses and AIDS deaths, and to account for information on key populations such as men who have sex with men (MSM), males who inject drugs (MWID), female sex workers (FSW) and females who inject drugs (FWID). We used a Bayesian framework to calibrate the tool in 71 high-income or low HIV burden countries. Results: Across countries, an estimated median 89% (interquartile range [IQR] 78%-96%) of HIV-positive adults knew their status in 2019. Mean CD4 counts at diagnosis were stable over time, with a median of 456 cells/μl (IQR: 391-508) across countries in 2019. In European countries reporting new HIV diagnoses among key populations median estimated proportions of males that are MSM and MWID was 1.3% (IQR: 0.9%- 2.0%) and 0.56% (IQR: 0.51%- 0.64%), respectively. The median estimated proportions of females that are FSW and FWID were 0.36% (IQR: 0.27%-0.45%) and 0.14 (IQR: 0.13%- 0.15%), respectively. HIV incidence per 100 person-year increased among MSM with median estimates reaching 0.43 (IQR: 0.29-1.73) in 2019, but remained stable in MWID, FSW and FWID, at around 0.12 (IQR: 0.04-1.9), 0.09 (IQR: 0.06-0.69) and 0.13% (IQR: 0.08%-0.91%) in 2019, respectively. Knowledge of HIV status among HIV-positive adults gradually increased since the early 1990s to exceed 75% in more than 75% of countries in 2019 among each key population. Con
Glaubius R, Kothegal N, Birhanu S, et al., 2021, Disease progression and mortality with untreated HIV infection: evidence synthesis of HIV seroconverter cohorts, antiretroviral treatment clinical cohorts, and population-based survey data, Journal of the International AIDS Society, Vol: 24, Pages: 1-11, ISSN: 1758-2652
Background: Model-based estimates of key HIV indicators depend on past epidemic trends that arederived based on assumptions about HIV disease progression and mortality in the absence ofantiretroviral treatment (ART). Population-based HIV Impact Assessment (PHIA) household surveysconducted between 2015 and 2018 found substantial numbers of respondents living with untreated HIVinfection. CD4 cell counts measured in these individuals provide novel information to estimate HIVdisease progression and mortality rates off ART.Methods: We used Bayesian multi-parameter evidence synthesis to combine data on i) cross-sectionalCD4 cell counts among untreated adults living with HIV from ten PHIA surveys, ii) survival after HIVseroconversion in East African seroconverter cohorts, and iii) post-seroconversion CD4 counts and iv)mortality rates by CD4 count predominantly from European, North American, and Australianseroconverter cohorts. We used Incremental Mixture Importance Sampling to estimate HIV naturalhistory and ART uptake parameters used in the Spectrum software. We validated modeled trends in CD4count at ART initiation against ART initiator cohorts in sub-Saharan Africa.Results: Median untreated HIV survival decreased with increasing age at seroconversion, from 12.5years (95% credible interval [CrI]: 12.1-12.7) at ages 15-24 to 7.2 years (95% CrI: 7.1-7.7) at ages 45-54.Older age was associated with lower initial CD4 counts, faster CD4 count decline and higher HIV-relatedmortality rates. Our estimates suggested a weaker association between ART uptake and HIV-relatedmortality rates than previously assumed in Spectrum. Modeled CD4 counts in untreated people livingwith HIV matched recent household survey data well, though some intercountry variation in frequenciesof CD4 counts above 500 cells/mm3 was not explained. Trends in CD4 counts at ART initiation werecomparable to data from ART initiator cohorts. An alternate model that stratified progression andmortality rates by sex di
Godin A, Eaton J, Giguere K, et al., 2021, Inferring population HIV incidence trends from surveillance data of recent HIV infection among HIV testing clients, AIDS, Vol: 35, Pages: 2383-2388, ISSN: 0269-9370
Background: Measuring recent HIV infections from routine surveillance systems could allow timely and granular monitoring of HIV incidence patterns. We evaluated the relationship of two recent infection indicators with alternative denominators to true incidence patterns.Methods: We used a mathematical model of HIV testing behaviors, calibrated to population-based surveys and HIV testing services program data, to estimate the number of recent infections diagnosed annually from 2010 to 2019 in Côte d’Ivoire, Malawi, and Mozambique. We compared two different denominators to interpret recency data: i) those at risk of HIV acquisition (HIV-negative tests plus recent infections) and ii) all people testing HIV positive. Sex- and age-specific longitudinal trends in both interpretations were then compared to modeled trends in HIV incidence, testing efforts, and HIV positivity among HIV testing services clients.Results: Over 2010–2019, the annual proportion of the eligible population tested increased in all countries, while positivity decreased. The proportion of recent infections among those at risk of HIV acquisition decreased, similar to declines in HIV incidence among adults (≥15 years old). Conversely, the proportion of recent infections among HIV-positive tests increased. The female-to-male ratio of the proportion testing recent among those at risk was closer to 1 than the true incidence sex ratio.Conclusion: The proportion of recent infections among those at risk of HIV acquisition is more indicative of HIV incidence than the proportion among HIV-positive tests. However, interpreting the observed patterns as surrogate measures for incidence patterns may still be confounded by different HIV testing rates between population groups or over time.
Risher K, Cori A, Reniers G, et al., 2021, Age patterns of HIV incidence in eastern and southern Africa: a collaborative analysis of observational general population cohort studies, The Lancet HIV, Vol: 8, Pages: e429-e439, ISSN: 2405-4704
Background: As the HIV epidemic in sub-Saharan Africa matures, evidence about the age distribution of new HIV infections and how this has changed over the epidemic is needed to guide HIV prevention. We assessed trends in age-specific HIV incidence in six population-based cohort studies in eastern and southern Africa, reporting changes in average age at infection, age distribution of new infections, and birth cohort cumulative incidence. Methods: We used a Bayesian model to reconstruct age-specific HIV incidence from repeated observations of individuals’ HIV serostatus and survival collected among population HIV cohorts in rural Malawi, South Africa, Tanzania, Uganda, and Zimbabwe. The HIV incidence rate by age, time and sex was modelled using smooth splines functions. Incidence trends were estimated separately by sex and study. Estimated incidence and prevalence results for 2000-2017, standardised to study population distribution, were used to estimate average age at infection and proportion of new infections by age. Findings: Age-specific incidence declined at all ages, though the timing and pattern of decline varied by study. The average age at infection was higher in men (cohort means: 27·8-34·6 years) than women (cohort means: 24·8-29·6 years). Between 2000 and 2017, the average age at infection increased slightly: cohort means 0·5-2·8 years among men and -0·2-2·5 years among women. Across studies, between 38-63%(cohort means)of women’s infections were among 15-24-year-olds and between 30-63% of men’s infections were in 20-29-year-olds. Lifetime risk of HIV declined for successive birth cohorts. Interpretation: HIV incidence declined in all age groups and shifted slightly, but not dramatically, to older ages. Disproportionate new HIV infections occur among 15-24-year-old 4women and20-29-year-oldmen, supporting focused prevention in these groups. But 40-60% of infections were outside these
Wolock T, Flaxman S, Risher K, et al., 2021, Evaluating distributional regression strategies for modelling self-reported sexual age-mixing, eLife, Vol: 10, Pages: 1-38, ISSN: 2050-084X
The age dynamics of sexual partnership formation determine patterns of sexually transmitted disease transmission and have long been a focus of researchers studying human immunodeficiency virus. Data on self-reported sexual partner age distributions are available from a variety of sources. We sought to explore statistical models that accurately predict the distribution of sexual partner ages over age and sex. We identified which probability distributions and outcome specifications best captured variation in partner age and quantified the benefits of modelling these data using distributional regression. We found that distributional regression with a sinh-arcsinh distribution replicated observed partner age distributions most accurately across three geographically diverse data sets. This framework can be extended with well-known hierarchical modelling tools and can help improve estimates of sexual age-mixing dynamics.
Sartorius B, VanderHeide JD, Yang M, et al., 2021, Subnational mapping of HIV incidence and mortality among individuals aged 15–49 years in sub-Saharan Africa, 2000–18: a modelling study, The Lancet HIV, Vol: 8, Pages: e363-e375, ISSN: 2352-3018
BackgroundHigh-resolution estimates of HIV burden across space and time provide an important tool for tracking and monitoring the progress of prevention and control efforts and assist with improving the precision and efficiency of targeting efforts. We aimed to assess HIV incidence and HIV mortality for all second-level administrative units across sub-Saharan Africa.MethodsIn this modelling study, we developed a framework that used the geographically specific HIV prevalence data collected in seroprevalence surveys and antenatal care clinics to train a model that estimates HIV incidence and mortality among individuals aged 15–49 years. We used a model-based geostatistical framework to estimate HIV prevalence at the second administrative level in 44 countries in sub-Saharan Africa for 2000–18 and sought data on the number of individuals on antiretroviral therapy (ART) by second-level administrative unit. We then modified the Estimation and Projection Package (EPP) to use these HIV prevalence and treatment estimates to estimate HIV incidence and mortality by second-level administrative unit.FindingsThe estimates suggest substantial variation in HIV incidence and mortality rates both between and within countries in sub-Saharan Africa, with 15 countries having a ten-times or greater difference in estimated HIV incidence between the second-level administrative units with the lowest and highest estimated incidence levels. Across all 44 countries in 2018, HIV incidence ranged from 2·8 (95% uncertainty interval 2·1–3·8) in Mauritania to 1585·9 (1369·4–1824·8) cases per 100 000 people in Lesotho and HIV mortality ranged from 0·8 (0·7–0·9) in Mauritania to 676·5 (513·6–888·0) deaths per 100 000 people in Lesotho. Variation in both incidence and mortality was substantially greater at the subnational level than at the national level and the highest estimated ra
Ehrenkranz P, Rosen S, Boulle A, et al., 2021, The revolving door of HIV care: revising the service delivery cascade to achieve the UNAIDS 95-95-95 goals, PLoS Medicine, Vol: 18, Pages: 1-10, ISSN: 1548-7091
Giguere K, Eaton J, Marsh K, et al., 2021, Trends in knowledge of HIV status and efficiency of HIV testing services in sub-Saharan Africa, 2000-20: a modelling study using survey and HIV testing programme data, The Lancet HIV, Vol: 8, Pages: 284-293, ISSN: 2405-4704
Background: Monitoring knowledge of HIV status (KOS) among people living with HIV (PLHIV) is essential for an effective national HIV response. This study estimates progress and gaps in reaching the UNAIDS 2020 target of 90% KOS, and the efficiency of HIV testing services (HTS) in sub-Saharan Africa (SSA), where two thirds of all PLHIV live. Methods: We used data from 183 population-based surveys (N=2·7 million participants) and national HTS programs (N=315 country-years) from 40 countries as inputs into a mathematical model to examine trends in KOS among PLHIV, median time from HIV infection to diagnosis, HIV testing positivity, and proportion of new diagnoses among all positive tests, adjusting for retesting.Findings: Across SSA, KOS steadily increased from 6% (95% credible interval [95%CrI]: 5% to 7%) in 2000 to 84% (95%CrI: 82% to 86%) in 2020. Twelve countries and one region, Southern Africa, reached the 90% target. In 2020, KOS was lower among men (79%) than women (87%) across SSA. PLHIV aged 15-24 years were the least likely to know their status (65%), but the largest gap in terms of absolute numbers was among men aged 35-49 years, with over 700,000 left undiagnosed. As KOS increased from 2000 to 2020, the median time to diagnosis decreased from 10 to 3 years, HIV testing positivity declined from 9% to 3%, and the proportion of first-time diagnoses among all positive tests dropped from 89% to 42%.Interpretation: On the path towards the next UNAIDS target of 95% diagnostic coverage by 2030, and in a context of declining positivity and yield of first-time diagnoses, we need to focus on addressing disparities in KOS. Increasing KOS and treatment coverage among older men could be critical to reduce HIV incidence among women in SSA, and by extension, reducing mother-to-child transmission.
Eaton JW, Sands A, Barr-DiChiara M, et al., 2021, Accuracy and performance of the WHO 2015 and WHO 2019 HIV testing strategies across epidemic settings
<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>WHO 2019 HIV testing guidelines recommended a standard HIV testing strategy consisting of three consecutively HIV-reactive test results on serology assays to diagnose HIV infection. National HIV programmes in high prevalence settings currently using the strategy consisting of only two consecutive HIV-reactive tests should consider when to implement the new guideline recommendations.</jats:p></jats:sec><jats:sec><jats:title>Methods and Findings</jats:title><jats:p>We implemented a probability model to simulate outcomes of WHO 2019 and the two strategies recommended by WHO 2015 guidelines on HIV testing services. Each assay in the strategy was assumed independently 99% sensitivity and 98% specificity, the minimal thresholds required for WHO prequalification. For each strategy and positivity ranging 20% to 0.2%, we calculated the number of false-negative, false-positive, and inconclusive results; positive and negative predictive value (PPV, NPV); number of each assay used, and testing programme costs. We found that the NPV was above 99.9% for all scenarios modelled. Under the WHO 2015 two-test strategy, the PPV was below the 99% target threshold when positivity fell below 5%. For the WHO 2019 strategy, the PPV was above 99% for all positivity levels. The number reported ‘inconclusive’ was higher under the WHO 2019 strategy. Implementing the WHO 2019 testing strategy in Malawi, would require around 89,000 A3 tests in 2021, compared to 175,000 A2 tests and over 4.5 million A1 tests per year. The incremental cost of the WHO 2019 strategy was less than 2% in 2021 and declined to 0.9% in 2025.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>As positivity among persons testing for HIV reduces below 5% in nearly all settings, implementation of the W
Eilerts H, Prieto JR, Eaton J, et al., 2021, Age patterns of under-five mortality in sub-Saharan Africa during 1990-2018: a comparison of estimates from demographic surveillance with full birth histories and the historic record, Demographic Research, Vol: 44, Pages: 415-442, ISSN: 1435-9871
BACKGROUND: In Sub-Saharan African countries which often lack high-quality vital registration data, estimates of under-five mortality (U5M) rely heavily on full birth histories (FBHs) collected in surveys and model age patterns of mortality calibrated against vital statistics from other populations. Health and Demographic Surveillance Systems (HDSS) are al-ternate sources of population-based data in much of sub-Saharan Africa, which are less formally utilized in estimation. OBJECTIVE: The objective of this study is to compare the age pattern of U5M in African HDSS with FBHs from the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), the Human Mortality Database (HMD), and model age patterns.METHODS: We examined the relative levels of neonatal, post neonatal, infant, and child mortality across data sources. We directly compared estimates for DHS and MICS subnational regions with HDSS, and used OLS regression to identify data attributes that correlated with the disparity between estimates. RESULTSH: DSS and FBH data suggests that African populations have higher levels of child mortality and lower infant mortality than the historic record. This age pattern is most explicit for Western African populations, but also characterizes data for other sub regions. The comparison between HDSS and FBH suggests that FBH child mortality is biased downward. The comparison is less conclusive for neonatal and infant mortality. CONTRIBUTION: This study questions the practice of using model age patterns derived from largely high-income settings for inferring or correcting U5M estimates for African populations. It also highlights the considerable uncertainty around the consistency of HDSS and FBH estimates of U5M.
Xia Y, Milwid RM, Godin A, et al., 2021, Accuracy of self-reported HIV testing history and awareness of HIV-positive status among people living with HIV in four Sub-Saharan African countries, AIDS, Vol: 35, Pages: 503-510, ISSN: 0269-9370
Background: In many countries in Sub-Saharan Africa, self-reported HIV testing history and awareness of HIV-positive status from household surveys are used to estimate the percentage of people living with HIV (PLHIV) who know their HIV status. Despite widespread use, there is limited empirical information on the sensitivity of those self-reports, which can be affected by non-disclosure.Methods: Bayesian latent class models were used to estimate the sensitivity of self-reported HIV testing history and awareness of HIV-positive status in four Population-based HIV Impact Assessment surveys in Eswatini, Malawi, Tanzania, and Zambia. Antiretroviral (ARV) metabolites biomarkers were used to identify persons on treatment who did not accurately report their status. For those without ARV biomarkers, the pooled estimate of non-disclosure among untreated persons was 1.48 higher than those on treatment.Results: Among PLHIV, the model-estimated sensitivity of self-reported HIV testing history ranged from 96% to 99% across surveys. The model-estimated sensitivity of self-reported awareness of HIV status varied from 91% to 97%. Non-disclosure was generally higher among men and those aged 15–24 years. Adjustments for imperfect sensitivity did not substantially influence estimates of PLHIV ever tested (difference <4%) but the proportion of PLHIV aware of their HIV-positive status was higher than the unadjusted proportion (difference <8%).Conclusions: Self-reported HIV testing histories in four Eastern and Southern African countries are generally robust although adjustment for non-disclosure increases estimated awareness of status. These findings can contribute to further refinements in methods for monitoring progress along the HIV testing and treatment cascade.
Atchison C, Bowman LR, Vrinten C, et al., 2021, Early perceptions and behavioural responses during the COVID-19 pandemic: a cross-sectional survey of UK adults., BMJ Open, Vol: 11, Pages: 1-12, ISSN: 2044-6055
OBJECTIVE: To examine risk perceptions and behavioural responses of the UK adult population during the early phase of the COVID-19 epidemic in the UK. DESIGN: A cross-sectional survey. SETTING: Conducted with a nationally representative sample of UK adults within 48 hours of the UK Government advising the public to stop non-essential contact with others and all unnecessary travel. PARTICIPANTS: 2108 adults living in the UK aged 18 years and over. Response rate was 84.3% (2108/2500). Data collected between 17 March and 18 March 2020. MAIN OUTCOME MEASURES: Descriptive statistics for all survey questions, including number of respondents and weighted percentages. Robust Poisson regression used to identify sociodemographic variation in: (1) adoption of social distancing measures, (2) ability to work from home, and (3) ability and (4) willingness to self-isolate. RESULTS: Overall, 1992 (94.2%) respondents reported at least one preventive measure: 85.8% washed their hands with soap more frequently; 56.5% avoided crowded areas and 54.5% avoided social events. Adoption of social distancing measures was higher in those aged over 70 years compared with younger adults aged 18-34 years (adjusted relative risk/aRR: 1.2; 95% CI: 1.1 to 1.5). Those with lowest household income were three times less likely to be able to work from home (aRR: 0.33; 95% CI: 0.24 to 0.45) and less likely to be able to self-isolate (aRR: 0.92; 95% CI: 0.88 to 0.96). Ability to self-isolate was also lower in black and minority ethnic groups (aRR: 0.89; 95% CI: 0.79 to 1.0). Willingness to self-isolate was high across all respondents. CONCLUSIONS: Ability to adopt and comply with certain non-pharmaceutical interventions (NPIs) is lower in the most economically disadvantaged in society. Governments must implement appropriate social and economic policies to mitigate this. By incorporating these differences in NPIs among socioeconomic subpopulations into mathematical models of COV
Hsieh YL, Jahn A, Menzies NA, et al., 2020, An evaluation of 6-month versus continuous isoniazid preventive therapy for M. tuberculosis in adults living with HIV/AIDS in Malawi., JAIDS: Journal of Acquired Immune Deficiency Syndromes, Vol: 85, Pages: 643-650, ISSN: 1525-4135
BACKGROUND: To assist the Malawi Ministry of Health to evaluate two competing strategies for scale-up of isoniazid preventive therapy (IPT) among HIV-positive adults receiving ART. SETTING: Malawi. METHODS: We used a multi-district, compartmental model of the Malawi TB/HIV epidemic to compare the anticipated health impacts of 6-month versus continuous IPT programs over a 12-year horizon, while respecting a US$10.8 million constraint on drug costs in the first three years. RESULTS: The 6-month IPT program could be implemented nationwide while the continuous IPT alternative could be introduced in 14 (out of 27) districts. By the end of year 12, the continuous IPT strategy was predicted to avert more TB cases than the 6-month alternative, although not statistically significantly (2368 additional cases averted; 95%PI, -1459, 5023). The 6-month strategy required fewer person-years of IPT to avert a case of TB or death than the continuous strategy. For both programs, the mean reductions in TB incidence among PLHIV by year 12 were expected to be <10%, and the cumulative numbers of IPT-related hepatotoxicity to exceed the number of all-cause deaths averted in the first three years. CONCLUSION: With the given budgetary constraint, nationwide implementation of 6-month IPT would be more efficient and yield comparable health benefits than implementing continuous IPT program in fewer districts. The anticipated health effects associated with both IPT strategies suggested a combination of different TB intervention strategies would likely be required to yield greater impact on TB control in settings like Malawi, where ART coverage is relatively high.
Unwin H, Mishra S, Bradley V, et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, Vol: 11, Pages: 1-9, ISSN: 2041-1723
As of 1st June 2020, the US Centers for Disease Control and Prevention reported 104,232 confirmed or probable COVID-19-related deaths in the US. This was more than twice the number of deaths reported in the next most severely impacted country. We jointly model the US epidemic at the state-level, using publicly available deathdata within a Bayesian hierarchical semi-mechanistic framework. For each state, we estimate the number of individuals that have been infected, the number of individuals that are currently infectious and the time-varying reproduction number (the average number of secondary infections caused by an infected person). We use changes in mobility to capture the impact that non-pharmaceutical interventions and other behaviour changes have on therate of transmission of SARS-CoV-2. We estimate thatRtwas only below one in 23 states on 1st June. We also estimate that 3.7% [3.4%-4.0%] of the total population of the US had been infected, with wide variation between states, and approximately 0.01% of the population was infectious. We demonstrate good 3 week model forecasts of deaths with low error and good coverage of our credible intervals.
Sheng B, Eaton JW, Mahy M, et al., 2020, Comparison of HIV prevalence among antenatal clinic attendees estimated from routine testing and unlinked anonymous testing, Statistics in Biosciences, Vol: 12, Pages: 279-294, ISSN: 1867-1772
In 2015, WHO and UNAIDS released new guidance recommending that countries transition from conducting antenatal clinic (ANC) unlinked anonymous testing (ANC-UAT) for tracking HIV prevalence trends among pregnant women to using ANC routine testing (ANC-RT) data, which are more consistent and economic to collect. This transition could pose challenges for distinguishing whether changes in observed prevalence are due to a change in underlying population prevalence or due to a change in the testing approach. We compared the HIV prevalence measured from ANC-UAT and ANC-RT in 15 countries that had both data sources in overlapping years. We used linear mixed-effects model (LMM) to estimate the RT-to-UAT calibration parameter as well as other unobserved quantities. We summarized the results at different levels of aggregation (e.g., country, urban, rural, and province). Based on our analysis, the HIV prevalence measured by ANC-UAT and ANC-RT data are consistent in most countries. Therefore, if large discrepancy is observed between ANC-UAT and ANC-RT at the same location, we recommend that people should be cautious and investigate the reason. For countries that lack information to estimate the calibration parameter, we propose an informative prior distribution of mean 0 and standard deviation 0.2 for the RT-to-UAT calibration parameter.
Johnson L, Kubjane M, Eaton J, 2020, Challenges in estimating HIV prevalence trends and geographical variation in HIV prevalence using antenatal data: insights from mathematical modelling, PLoS One, Vol: 15, Pages: 1-22, ISSN: 1932-6203
HIV prevalence data among pregnant women have been critical to estimating HIV trends and geographical patterns of HIV in many African countries. Although antenatal HIV prevalence data are known to be biased representations of HIV prevalence in the general population, mathematical models have made various adjustments to control for known sources of bias, including the effect of HIV on fertility, the age profile of pregnant women and sexual experience.<h4>Methods and findings</h4>We assessed whether assumptions about antenatal bias affect conclusions about trends and geographical variation in HIV prevalence, using simulated datasets generated by an agent-based model of HIV and fertility in South Africa. Results suggest that even when controlling for age and other previously-considered sources of bias, antenatal bias in South Africa has not been constant over time, and trends in bias differ substantially by age. Differences in the average duration of infection explain much of this variation. We propose an HIV duration-adjusted measure of antenatal bias that is more stable, which yields higher estimates of HIV incidence in recent years and at older ages. Simpler measures of antenatal bias, which are not age-adjusted, yield estimates of HIV prevalence and incidence that are too high in the early stages of the HIV epidemic, and that are less precise. Antenatal bias in South Africa is substantially greater in urban areas than in rural areas.<h4>Conclusions</h4>Age-standardized approaches to defining antenatal bias are likely to improve precision in model-based estimates, and further recency adjustments increase estimates of HIV incidence in recent years and at older ages. Incompletely adjusting for changing antenatal bias may explain why previous model estimates overstated the early HIV burden in South Africa. New assays to estimate the fraction of HIV-positive pregnant women who are recently infected could play an important role in better estimatin
Schafer R, Thomas R, Robertson L, et al., 2020, Spillover HIV prevention effects of a cash transfer trial in East Zimbabwe: evidence from a cluster-randomised trial and general-population survey, BMC Public Health, Vol: 20, ISSN: 1471-2458
BackgroundBenefits of cash transfers (CTs) for HIV prevention have been demonstrated largely in purposively designed trials, commonly focusing on young women. It is less clear if CT interventions not designed for HIV prevention can have HIV-specific effects, including adverse effects. The cluster-randomised Manicaland Cash Transfer Trial (2010–11) evaluated effects of CTs on children’s (2–17 years) development in eastern Zimbabwe. We evaluated whether this CT intervention with no HIV-specific objectives had unintended HIV prevention spillover effects (externalities).MethodsData on 2909 individuals (15–54 years) living in trial households were taken from a general-population survey, conducted simultaneously in the same communities as the Manicaland Trial. Average treatment effects (ATEs) of CTs on sexual behaviour (any recent sex, condom use, multiple partners) and secondary outcomes (mental distress, school enrolment, and alcohol/cigarette/drug consumption) were estimated using mixed-effects logistic regressions (random effects for study site and intervention cluster), by sex and age group (15–29; 30–54 years). Outcomes were also evaluated with a larger synthetic comparison group created through propensity score matching.ResultsCTs did not affect sexual debut but reduced having any recent sex (past 30 days) among young males (ATE: − 11.7 percentage points [PP] [95% confidence interval: -26.0PP, 2.61PP]) and females (− 5.68PP [− 15.7PP, 4.34PP]), with similar but less uncertain estimates when compared against the synthetic comparison group (males: -9.68PP [− 13.1PP, − 6.30PP]; females: -8.77PP [− 16.3PP, − 1.23PP]). There were no effects among older individuals. Young (but not older) males receiving CTs reported increased multiple partnerships (8.49PP [− 5.40PP, 22.4PP]; synthetic comparison: 10.3PP (1
Background: In many countries in Sub-Saharan Africa, self-reported HIV testing history and awareness of HIV-positive status from household surveys are used to estimate the percentage of people living with HIV (PLHIV) who know their HIV status. Despite widespread use, there is limited empirical information on the sensitivity of those self-reports, which can be affected by non-disclosure. Methods: Bayesian latent class models were used to estimate the sensitivity of self-reported HIV testing history and awareness of HIV-positive status in four Population-based HIV Impact Assessment surveys in Eswatini, Malawi, Tanzania, and Zambia. Antiretroviral (ARV) metabolites biomarkers were used to identify persons on treatment who did not accurately report their status. For those without ARV biomarkers, the pooled estimate of non-disclosure among untreated persons was 1.48 higher than those on treatment. Results: Among PLHIV, the sensitivity of self-reported HIV testing history ranged 96% to 99% across surveys. Sensitivity of self-reported awareness of HIV status varied from 91% to 97%. Non-disclosure was generally higher among men and those aged 15-24 years. Adjustments for imperfect sensitivity did not substantially influence estimates of of PLHIV ever tested (difference <4%) but the proportion of PLHIV aware of their HIV-positive status was higher than the unadjusted proportion (difference <8%). Conclusions: Self-reported HIV testing histories in four Eastern and Southern African countries are generally robust although adjustment for non-disclosure increases estimated awareness of status. These findings can contribute to further refinements in methods for monitoring progress along the HIV testing and treatment cascade.
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