BACKGROUND: In Uganda, adolescent girls', and young women's (AGYW-15-24 years) current HIV prevalence is fourfold compared with their male counterparts due to compounded social, economic, and environmental factors. Using the Protective Motivation Theory (PMT), we explored HIV-acquisition risk sources and perceived protective factors from AGYW and caregivers' perspective. MATERIALS AND METHODS: During 2018, we conducted a qualitative study guided by PMT to explore factors influencing HIV acquisition among AGYW. We purposively sampled two groups of key informants, AGYW at high-risk for HIV acquisition (uninfected) and AGYW living with HIV, varied by age and place of residence (urban/rural). We conducted 34 focus group discussions with AGYW, nine with AGYW parents, and 25 key informant interviews. Data were analyzed using the framework method based on the PMT and developed from participants' narratives. RESULTS: AGYW were knowledgeable about HIV, HIV acquisition risk factors, and HIV prevention interventions. Nonetheless, few AGYW knew about pre-exposure prophylaxis (PrEP). Imbalance in power relations between the genders explained inability of AGYW making safe healthy decisions, with social norms giving men power over women. Parents modelling positively influenced HIV risk behavior. Many AGYW viewed staying in school a protective factor both while at school and further for life. AGYW identified alcohol use, desire for material possessions, discounting HIV disease severity, social norms, and poverty as barriers to engaging in self-protective behaviors. Several AGYW believed that access to AGYW-focused programs would facilitate healthy sex-positive, protective behaviors. DISCUSSION: While PMT focuses on individual factors confirmed by our findings, we found HIV risk behavior to be influenced by complex contextual factors including poverty, gender inequality and cultural norms. Distinct HIV risk factors among AGYW require policy and comprehensive targeted interventions addressing violence, alcohol consumption, increased economic opportunities, educational opportunities, safe-sex practices, and PrEP scale-up which may prevent HIV in AGYW and facilitate HIV epidemic control.

Oral pre-exposure prophylaxis (PrEP) reduces HIV acquisition risk from sex by 99% and from injection drug use by ≥74% when used as recommended. The Joint United Nations Programme on HIV/AIDS (UNAIDS) has set a goal of 21.2 million persons using (initiating or continuing) PrEP globally in 2025. In 2016, CDC, with the U.S. President's Emergency Plan for AIDS Relief, joined ministries of health to implement PrEP globally. PrEP is beneficial for persons at substantial risk for acquiring HIV, including but not limited to key populations, which include female sex workers, men who have sex with men, persons in prisons and other enclosed settings, persons who inject drugs, and transgender persons. Annual country targets were used to guide scale-up. In 2023, CDC supported 856,816 PrEP initiations, which represents nearly one quarter of the 3.5 million persons globally who either initiated or continued PrEP that year. During 2017-2023, CDC supported PrEP initiations for 2,278,743 persons, 96.0% of whom were in sub-Saharan Africa. More than one half (64.0%) were female and 44.9% were aged 15-24 years. Overall, CDC achieved 118.7% of its PrEP initiation targets for the 7-year period. Among PrEP initiations for key populations, the majority in sub-Saharan Africa were female sex workers, whereas in Southeast Asia, Eurasia, and the Americas, the majority were men who have sex with men. Continued rapid scale-up is needed to meet the UNAIDS goal to end HIV as a public health threat.

We report that unsuccessful treatment outcomes were 11.8% for tuberculosis (TB) disease and 21.8% for TB infection among persons deprived of liberty in Uganda Prisons Service facilities. Remedial efforts should include enhancing referral networks to ensure treatment continuity, strengthening data systems for complete outcome documentation, and prioritizing short-course treatment regimens.

Voluntary medical male circumcision (VMMC) has primarily been promoted for HIV prevention. Evidence also supports that male circumcision offers protection against other sexually transmitted infections. This analysis assessed the effect of circumcision on syphilis, hepatitis B virus (HBV) infection and HIV. Data from the 2015 to 2019 Population-based HIV Impact Assessments (PHIAs) surveys from Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe were used for the analysis. The PHIA surveys are cross-sectional, nationally representative household surveys that include biomarking testing for HIV, syphilis and HBV infection. This is a secondary data analysis using publicly available PHIA data. Univariate and multivariable logistic regression models were created using pooled PHIA data across the five countries to assess the effect of male circumcision on HIV, active and ever syphilis, and HBV infection among sexually active males aged 15-59 years. Circumcised men had lower odds of syphilis infection, ever or active infection, and HIV, compared to uncircumcised men, after adjusting for covariates (active syphilis infection = 0.67 adjusted odds ratio (aOR), 95% confidence interval (CI), 0.52-0.87, ever having had a syphilis infection = 0.85 aOR, 95% CI, 0.73-0.98, and HIV = 0.53 aOR, 95% CI, 0.47-0.61). No difference between circumcised and uncircumcised men was identified for HBV infection (P = 0.75). Circumcised men have a reduced likelihood for syphilis and HIV compared to uncircumcised men. However, we found no statistically significant difference between circumcised and uncircumcised men for HBV infection.

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.

BACKGROUND: Model-based small area estimation methods can help generate parameter estimates at the district level, where planned population survey sample sizes are not large enough to support direct estimates of HIV prevalence with adequate precision. We computed district-level HIV prevalence estimates and their 95% confidence intervals for districts in Uganda. METHODS: Our analysis used direct survey and model-based estimation methods, including Fay-Herriot (area-level) and Battese-Harter-Fuller (unit-level) small area models. We used regression analysis to assess for consistency in estimating HIV prevalence. We use a ratio analysis of the mean square error and the coefficient of variation of the estimates to evaluate precision. The models were applied to Uganda Population-Based HIV Impact Assessment 2016/2017 data with auxiliary information from the 2016 Lot Quality Assurance Sampling survey and antenatal care data from district health information system datasets for unit-level and area-level models, respectively. RESULTS: Estimates from the model-based and the direct survey methods were similar. However, direct survey estimates were unstable compared with the model-based estimates. Area-level model estimates were more stable than unit-level model estimates. The correlation between unit-level and direct survey estimates was (β1 = 0.66, r2 = 0.862), and correlation between area-level model and direct survey estimates was (β1 = 0.44, r2 = 0.698). The error associated with the estimates decreased by 37.5% and 33.1% for the unit-level and area-level models, respectively, compared to the direct survey estimates. CONCLUSIONS: Although the unit-level model estimates were less precise than the area-level model estimates, they were highly correlated with the direct survey estimates and had less standard error associated with estimates than the area-level model. Unit-level models provide more accurate and reliable data to support local decision-making when unit-level auxiliary information is available.

BACKGROUND: Identifying men living with HIV in sub-Saharan Africa (SSA) is critical to end the epidemic. We describe the underlying factors of unawareness among men aged 15-59 years who ever tested for HIV in 13 SSA countries. METHODS: Using pooled data from the nationally representative Population-based HIV Impact Assessments, we fit a log-binomial regression model to identify characteristics related to HIV positivity among HIV-positive unaware and HIV-negative men ever tested for HIV. RESULTS: A total of 114,776 men were interviewed and tested for HIV; 4.4% were HIV-positive. Of those, 33.7% were unaware of their HIV-positive status, (range: 20.2%-58.7%, in Rwanda and Cote d'Ivoire). Most unaware men reported they had ever received an HIV test (63.0%). Age, region, marital status, and education were significantly associated with HIV positivity. Men who had HIV-positive sexual partners (adjusted prevalence ratio [aPR]: 5.73; confidence interval [95% CI]: 4.13 to 7.95) or sexual partners with unknown HIV status (aPR: 2.32; 95% CI: 1.89 to 2.84) were more likely to be HIV-positive unaware, as were men who tested more than 12 months compared with HIV-negative men who tested within 12 months before the interview (aPR: 1.58; 95% CI: 1.31 to 1.91). Tuberculosis diagnosis and not being circumcised were also associated with HIV positivity. CONCLUSION: Targeting subgroups of men at risk for infection who once tested negative could improve yield of testing programs. Interventions include improving partner testing, frequency of testing, outreach and educational strategies, and availability of HIV testing where men are accessing routine health services.

Large public-health training events may result in SARS-CoV-2 transmission. Universal SARS-CoV-2 testing during trainings for the Uganda Population-based HIV Impact Assessment identified 28/475 (5.9%) individuals with COVID-19 among attendees; most (89.3%) were asymptomatic. Effective COVID-19 mitigation measures, along with SARS-CoV-2 testing, are recommended for in-person trainings, particularly when trainees will have subsequent contact with survey participants.

BACKGROUND: Male circumcision (MC) offers men lifelong partial protection from heterosexually-acquired HIV infection. The impact of MC on HIV incidence has not been quantified in nationally-representative samples. Data from the Population-based HIV Impact Assessments (PHIAs) were used to compare incidence by MC status in countries implementing voluntary medical MC (VMMC) programs. METHODS: Data were pooled from PHIAs conducted in Eswatini, Lesotho, Malawi, Namibia, Tanzania, Uganda, Zambia and Zimbabwe from 2015-2017. Incidence was measured using a recent infection testing algorithm, and analyzed by self-reported MC status distinguishing between medical and non-medical MC. Country, marital status, urban setting, sexual risk behaviors, and mean population HIV viral load among women as an indicator of treatment scale-up were included in a random effects logistic regression model using pooled survey weights. Analyses were age-stratified (15-34 and 35-59 years). Annualized incidence rates and 95% confidence intervals (CIs) and incidence differences were calculated between medically circumcised and uncircumcised men. RESULTS: Men 15-34 years reporting medical MC had lower HIV incidence than uncircumcised men (0.04% [95% CI: 0.00, 0.10%] versus 0.34% [95% CI: 0.10, 0.57%], respectively; p-value = 0.01); whereas among men 35-59 years, there was no significant incidence difference (1.36% [95% CI: 0.32, 2.39%] versus 0.55% [95% CI: 0.14, 0.67%], respectively; p-value = 0.14). DISCUSSION: Medical MC was associated with lower HIV incidence in men aged 15-34 years in nationally-representative surveys in Africa. These findings are consistent with the expected ongoing VMMC program impact and highlight the importance of VMMC for the HIV response in Africa.

BACKGROUND: Remarkable success in the prevention and treatment of pediatric HIV infection has been achieved in the past decade. Large differences remain between the estimated number of children living with HIV (CLHIV) and those identified through national HIV programs. We evaluated the number of CLHIV and those on treatment in Lesotho, Malawi, Swaziland, Tanzania, Uganda, Zambia, and Zimbabwe. METHODS: We assessed the total number of CLHIV, CLHIV on antiretroviral treatment (ART), and national and regional ART coverage gaps using 3 data sources: (1) Joint United Nations Programme on HIV/AIDS model-based estimates and national program data used as input values in the models, (2) population-based HIV impact surveys (PHIA), and (3) program data from the President's Emergency Plan for AIDS Relief (PEPFAR)-supported clinics. RESULTS: Across the 7 countries, HIV prevalence among children aged 0-14 years ranged from 0.4% (Uncertainty Bounds (UB) 0.2%-0.6%) to 2.8% (UB: 2.2%-3.4%) according to the PHIA surveys, resulting in estimates of 520,000 (UB: 460,000-580,000) CLHIV in 2016-2017 in the 7 countries. This compared with Spectrum estimates of pediatric HIV prevalence ranging from 0.5% (UB: 0.5%-0.6%) to 3.5% (UB: 3.0%-4.0%) representing 480,000 (UB: 390,000-550,000) CLHIV. CLHIV not on treatment according to the PEPFAR, PHIA, and Spectrum for the countries stood at 48% (UB: 25%-60%), 49% (UB: 37%-50%), and 38% (UB: 24%-47%), respectively. Of 78 regions examined across 7 countries, 33% of regions (PHIA data) or 41% of regions (PEPFAR data) had met the ART coverage target of 81%. CONCLUSIONS: There are substantial gaps in the coverage of HIV treatment in CLHIV in the 7 countries studied according to all sources. There is continued need to identify, engage, and treat infants and children. Important inconsistencies in estimates across the 3 sources warrant in-depth investigation.

OBJECTIVE: To determine which of 3 HIV testing and counseling (HTC) models in outpatient departments (OPDs) increases HIV testing and entry of newly identified HIV-infected patients into care. DESIGN: Randomized trial of HTC interventions. METHODS: Thirty-six OPDs in South Africa, Tanzania, and Uganda were randomly assigned to 3 different HTC models: (A) health care providers referred eligible patients (aged 18-49, not tested in the past year, not known HIV positive) to on-site voluntary counseling and testing for HTC offered and provided by voluntary counseling and testing counselors after clinical consultation; (B) health care providers offered and provided HTC to eligible patients during clinical consultation; and (C) nurse or lay counselors offered and provided HTC to eligible patients before clinical consultation. Data were collected from October 2011 to September 2012. We describe testing eligibility and acceptance, HIV prevalence, and referral and entry into care. Chi-square analyses were conducted to examine differences by model. RESULTS: Of 79,910 patients, 45% were age eligible and 16,099 (45%) age eligibles were tested. Ten percent tested HIV positive. Significant differences were found in percent tested by model. The proportion of age eligible patients tested by Project STATUS was highest for model C (54.1%, 95% confidence interval [CI]: 42.4 to 65.9), followed by model A (41.7%, 95% CI: 30.7 to 52.8), and then model B (33.9%, 95% CI: 25.7 to 42.1). Of the 1596 newly identified HIV positive patients, 94% were referred to care (96.1% in model A, 94.7% in model B, and 94.9% in model C), and 58% entered on-site care (74.4% in model A, 54.8% in model B, and 55.6% in model C) with no significant differences in referrals or care entry by model. CONCLUSIONS: Model C resulted in the highest proportion of all age-eligible patients receiving a test. Although 94% of STATUS patients with a positive test result were referred to care, only 58% entered care. We found no differences in patients entering care by HTC model. Routine HTC in OPDs is acceptable to patients and effective for identifying HIV-infected persons, but additional efforts are needed to increase entry to care.

BACKGROUND: Multidrug resistant and extensively drug resistant tuberculosis (TB) have become major threats to control of tuberculosis globally. The rates of anti-TB drug resistance in Uganda are not known. We conducted a national drug resistance survey to investigate the levels and patterns of resistance to first and second line anti-TB drugs among new and previously treated sputum smear-positive TB cases. METHODS: Sputum samples were collected from a nationally representative sample of new and previously treated sputum smear-positive TB patients registered at TB diagnostic centers during December 2009 to February 2011 using a weighted cluster sampling method. Culture and drug susceptibility testing was performed at the national TB reference laboratory. RESULTS: A total of 1537 patients (1397 new and 140 previously treated) were enrolled in the survey from 44 health facilities. HIV test result and complete drug susceptibility testing (DST) results were available for 1524 (96.8%) and 1325 (85.9%) patients, respectively. Of the 1209 isolates from new cases, resistance to any anti-TB drug was 10.3%, 5% were resistant to isoniazid, 1.9% to rifampicin, and 1.4% were multi drug resistant. Among the 116 isolates from previously treated cases, the prevalence of resistance was 25.9%, 23.3%, 12.1% and 12.1% respectively. Of the 1524 patients who had HIV testing 469 (30.7%) tested positive. There was no association between anti-TB drug resistance (including MDR) and HIV infection. CONCLUSION: The prevalence of anti-TB drug resistance among new patients in Uganda is low relative to WHO estimates. The higher levels of MDR-TB (12.1%) and resistance to any drug (25.3%) among previously treated patients raises concerns about the quality of directly observed therapy (DOT) and adherence to treatment. This calls for strengthening existing TB control measures, especially DOT, routine DST among the previously treated TB patients or periodic drug resistance surveys, to prevent and monitor development and transmission of drug resistant TB.

This paper examines HIV risk behavior among HIV-uninfected adults living with people taking antiretroviral therapy (ART) in Uganda. A prospective cohort of 455 HIV-uninfected non-spousal household members of ART patients receiving home-based AIDS care was enrolled. Sexual behavior, HIV risk perceptions, AIDS-related anxiety, and the perception that AIDS is curable were assessed at baseline, 6, 12 and 24 months. Generalized linear mixture models were used to model risk behavior over time and to identify behavioral correlates. Overall, risky sex decreased from 29% at baseline to 15% at 24-months. Among women, risky sex decreased from 31% at baseline to 10% at 6 months and 15% at 24 months. Among men, risky sex decreased from 30% at baseline to 8% at 6 months and 13% at 24 months. Perceiving HIV/AIDS as curable and lower AIDS-related anxiety were independently associated with risky sex. No evidence of behavioral disinhibition was observed. Concerns regarding behavioral disinhibition should not slow down efforts to increase ART access in Africa.