The HIV epidemic in Haiti: is disability a factor?

People with disabilities (PWD) are thought to be low risk for HIV because of social norms regarding disability and sex. However, qualitative studies indicate they are at risk and are not being reached by HIV programs. The Demographic and Health Survey (DHS) conducted in Haiti in 2016 included HIV biomarker data and disability status. Crude and adjusted odds ratios were calculated using a disability severity indicator as the independent variable and HIV infection as the dependent variable. Covariates were selected based on theory and previous studies. Individuals reporting milder disabilities had a higher odds of HIV infection in the crude model (OR:1.65; CI: 1.16-2.34) and those adjusted for demographics (OR:1.73; CI:1.19-2.51) and sexual activity (OR:1.60; CI:1.06-2.42). Those with moderate and more severe disabilities have the same odds of HIV infection as the general population. PWD are HIV-positive and at risk of HIV infection. Based on this, it is essential that HIV education, testing, and treatment programs are inclusive of PWD. Accessible HIV education materials need to be created. HIV testing programs should involve PWD in planning and implementation. Providers of HIV care must be trained regarding the needs of PWD for reproductive healthcare.

Developing HIV risk prediction tools in four African settings.

OBJECTIVE: HIV risk prediction tools are a critical component of efforts to end the HIV pandemic. We aimed to create and validate tools for identifying individuals at highest risk of prevalent and incident HIV in an African setting. METHODS: We used Logistic regression and Poisson regression to determine risk factors for HIV prevalence and incidence in a multi-country HIV vaccine trial preparedness cohort study among individuals at high risk of HIV, and used the identified factors to create and validate tools that predict HIV risk. We also assessed the performance of the VOICE risk score in predicting HIV incidence among women in the cohort. RESULTS: The prevalent HIV prediction tool created had good predictive ability [area under the curve (AUC) = 0.70, 95% CI 0.66-0.74]. It included the following participant variables: age, sex, recreational drug use, unprotected male-to-male anal sex, a sexual partner who had other partners, transactional sex and having a partner who was a long-distance truck driver/miner. It was not possible to create a valid HIV incidence prediction tool. Participants with high VOICE risk scores (≥7) had slightly higher HIV incidence but this tool performed poorly within our study (AUC = 0.58, 95% CI 0.51-0.64: Harrell's concordance index = 0.59). CONCLUSION: We created a prevalent HIV prediction tool that could be used to increase efficiency in diagnosis of HIV and linkage to care in sub-Saharan Africa. Existing incident HIV prediction tools may need modification to include context-specific predictors such as calendar period, participant occupation, study site, before adoption in settings different from those in which they were developed.

HIV prevalence and associated factors among female sex workers in Iran: a bio-behavioral survey in 2020.

Despite the overall decline in human immunodeficiency virus (HIV) prevalence, it remains unacceptably high in key populations. This study aimed to estimate prevalence of HIV infection and high-risk behaviors among female sex workers (FSWs). This study was a cross-sectional survey of FSWs conducted between December 2019 and August 2020 in eight geographically diverse cities in Iran. After providing informed consent, participants completed a bio-behavioral questionnaire and after completion of the interview, rapid diagnostic tests (RDT) and dried blood spots (DBS) were collected to determine HIV and syphilis status as per national guidelines, if the women consented. All analyzes were based on RDS adjustment. Weighting was done according to Giles'SS estimator. Among the 1515 FSWs, the overall prevalence of HIV and syphilis were 1.6% (95% CI: 0.8-2.3) and zero, respectively. The highest HIV prevalence was observed in Shiraz (5.1%) and Khorramabad city (1.6%). In addition, HIV-positive FSWs had a higher mean age at first sexual contact than HIV-negative FSWs (21.4 ± 5.6 vs. 17.2 ± 4.2 years). Injection drug use and a history of arrest or incarceration were associated with an increased odds of HIV infection (OR = 6.25; 95% CI: 1.90-20.55 and OR = 4.57; 95% CI: 1.64-12.72, respectively). Based on the results, strategies to improve early HIV diagnosis, harm reduction, and use of testing and treatment strategies are needed to reduce and control HIV infections.

Changes in HIV care continuum indicators among community-based samples of HIV-infected people who inject drugs and men who have sex with men across 21 cities in India.

Monitoring key populations' progress towards UNAIDS 90-90-90 targets is essential to achieving HIV/AIDS epidemic control. Using serial cross-sectional data, we evaluated changes in HIV care continuum among people who inject drugs(PWID) and men who have sex with men(MSM) in India. Cross-sectional baseline (2012/2013) and follow-up (2016/2017) samples were recruited using respondent-driven sampling across 21 cities. All participants were tested for HIV and RNA measured in HIV-positive participants. Linear regression was used to model temporal site-level changes in continuum indicators in MSM versus PWID. At baseline, we recruited 2,544 HIV-infected PWID and 1,086 HIV-infected MSM. At follow-up, we recruited 2,517 HIV-infected PWID and 1,763 HIV-infected MSM. At baseline, there were no significant differences in continuum indicators between MSM and PWID. At follow-up, compared to PWID, the proportion of MSM reaching each care continuum indicator-awareness of status, receipt of care, ART use, viral suppression-increased by 15-33 percentage points: 78% of MSM versus 49% of PWID were aware of their status (p < 0.01); 56% of MSM versus 32% of PWID were virologically suppressed (p = 0.05). MSM showed marked improvements across the care continuum, whereas PWID lagged and may require additional intervention. Differential improvement in HIV engagement may necessitate population-specific interventions and routine surveillance to facilitate HIV elimination.

HIV prevalence and associated risk factors among young tertiary student men who have sex with men (MSM) in Nairobi, Kenya: a respondent-driven sampling survey.

BACKGROUND: Young men who have sex with men (MSM), are a key population at higher risk of HIV infection yet they are underrepresented in research. We conducted a bio-behavioral survey to estimate HIV prevalence and associated risk factors among tertiary student MSM (TSMSM) in Nairobi, Kenya. METHODS: Between February and March 2021, 248 TSMSM aged ≥ 18 years who reported sex with another man in the past year participated in a respondent-driven sampling (RDS) based cross-sectional survey. Participants completed an electronically self-administered behavioral survey and provided a blood sample for HIV antibody testing, alongside urine, anorectal and oropharyngeal swabs for pooled testing of sexually transmitted infections using a multiplex nucleic acid amplification test. RDS-Analyst v.0.72 and Stata v.15 software were used for data analysis. Differences in proportions were examined using chi-square (χ2) test, and unweighted multivariate logistic regression was used to assess factors associated with HIV infection. RESULTS: HIV prevalence among study participants was 8.3%, whereas the weighted prevalence was 3.6% (95% CI: 1.3-6.0%). Median ages of participants, and at self-reported first anal sex with a man were 21(interquartile range [IQR] 20-22) and 18 (IQR 17-19) years, respectively. A majority (89.3%) of TSMSM owned a smart phone, 46.5% had ever used a geosocial networking app for MSM such as Grindr ® to find a sex partner, and a third (33.6%) met their last sex partner online.  Almost three-quarters (71.3%) had > 1 male sex partner in the year before the survey. A third (34.3%) did not use condoms with their last sex partner, 21.2% received money from their last sex partner and 40.9% had taken alcohol/another drug during their last sexual encounter. HIV infection was associated with studying in private institutions (adjusted odds ratio[AOR] = 6.0; 95% confidence intervals [CI] : 1.2-30.0, p = 0.027), preferring a sex partner of any age-younger, same or older (AOR = 5.2; 95 CI: 1.1-25.2, p = 0.041), last sex partner being > 25 years (AOR = 6.4; 95% CI: 1.2-34.6, p = 0.030), meeting the last sex partner online (AOR = 4.2; 95% CI; 1.1-17.0, p = 0.043) and testing positive for Neisseria gonorrhea (AOR = 7.8; 95% CI: 2.0-29.9, p = 0.003). CONCLUSIONS: HIV prevalence among TSMSM in Nairobi is alarmingly high, demonstrating a need for tailored prevention and control interventions for this young key population.

The declining trend in HIV prevalence from population-based surveys in Cameroon between 2004 and 2018: myth or reality in the universal test and treat era?

BACKGROUND: HIV remains an epidemic of major public health importance in Cameroon but a decline in HIV prevalence has been observed according to population-based surveys conducted in 2004, 2011 and 2018. We sought to review current evidence for declining HIV prevalence despite increasing survival owing to 'universal test and treat' and to explore the reason for the decrease, particularly the role of behavioural change. METHODS: We conducted a secondary analysis using HIV prevalence, behavioural and social determinants data of the Demographic and Health Survey Program databases. Trend lines were fitted to data that were available for a minimum of three points in time during the 1991-2018 period. Regression coefficients associated p-values and 95% confidence intervals were obtained using Microsoft Excel software. RESULTS: Overall adult HIV prevalence decreased significantly from 5.4% (95%CI: 4.8-6.0) in 2004 to 4.3% (95%CI: 3.8-4.8) in 2011 and further down to 2.7% (95%CI: 2.3-3.1) in 2018 at a rate of about 1.4% every septennium (ß = -1.4, R² = 0.98, p = 0.03). Yet, the number of persons surviving with HIV increased from about 0.05 million in 1991 to 0.5 million in 2018 corresponding to an increase in access to antiretroviral therapy from less than 10% to universal coverage of 80% respectively. Concurrent reductions in risky sexual behaviours were observed: a delayed sexual debut by one year, decreased sexual violence by 7%, decreased polygamous unions by 16%, decreased multiple sexual partners by 15.3% and increased condom use by 26.3%. CONCLUSION: The observed decline in HIV prevalence is statistically valid and reflects the observed decline in risky sexual behaviour that need to be sustained by the National HIV programme. Though universal access to ART has increased the number of persons surviving with HIV, this has not led to an increased prevalence of HIV in a setting with a rising population.

How does HIV-related stigma correlate with HIV prevalence in African countries? Distinct perspectives from individuals living with and living without HIV.

BACKGROUND: Population-level research evaluating HIV-related stigma among countries with varied national HIV prevalence is scarce. To better understand HIV-related stigma and mitigate its potential negative effects, it is necessary to evaluate its relationship with HIV prevalence, as well as the mechanisms that influence it. This study aimed to analyze how HIV-related stigma correlates with subnational HIV prevalence in three African countries with varied HIV epidemics. METHODS: This paper used data from the nationally representative Population-based HIV Impact Assessment (PHIA) surveys conducted from 2015-2017 in Malawi, Zambia, and Tanzania. Each country's sub-national geographic divisions were used to categorize them as low (0-5.4%), middle (5.5-11.2%), and high (11.3-17.1%) HIV prevalence regions in the main analysis. Questions from the survey stigma module were used to measure HIV-related stigma. Logistic regression and multilevel models were performed to assess the associations between the level of sub-national HIV prevalence and HIV-related stigma measures among persons living with, and without, HIV. RESULTS: The results show that the odds of people living without HIV expressing stigmatizing behavior towards PLWH was significantly lower in regions of middle (OR = 0.80, 90%CI = (0.68-0.96)) and high (OR = 0.65, 90%CI = (0.53-0.80)) HIV prevalence when compared to low prevalence regions. The odds of reporting discriminatory attitudes were also lower for those in middle (OR = 0.87, 90%CI = (0.78-0.98)) and high (OR = 0.64, 90%CI = (0.56-0.73)) HIV prevalence regions compared to others. Living in middle and high HIV prevalence regions was associated with lower odds of expressing prejudice toward PLWH (OR = 0.84, 90%CI = (0.71-0.99) and OR = 0.60, 90%CI = (0.45-0.80), respectively) among people living without HIV. Notably, PLWH living in high prevalence regions had higher odds of reporting internalized stigma (OR = 1.48, 90%CI = (1.02-2.14)) compared to those living in low prevalence regions. CONCLUSIONS: The results indicate that among people not living with HIV, subnational HIV prevalence was negatively associated with discriminatory attitudes and prejudice towards PLWH, but HIV prevalence was positively associated with self-reported internalized stigma among PLWH. These results provide insight on how resources could be invested to reduce HIV related stigma among both PLWH and those not living with HIV.

Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018.

BACKGROUND: Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15-59 years across SSA. METHODS: We analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units. RESULTS: We found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a five percentage point prevalence increase in one or more sex and age group. CONCLUSIONS: As the HIV epidemic persists and evolves in SSA, geographic and demographic shifts in prevention and treatment efforts are necessary. These estimates offer epidemiologically informative detail to better guide more targeted interventions, vital for combating HIV in SSA.

HIV Prevalence and Associated Factors Among Men in South Africa 30 Years into the Epidemic: The Fifth Nationwide Cross-Sectional Survey.

We investigated HIV prevalence and associated factors among men ≥ 15 years in South Africa using data from a 2017 nationwide cross-sectional survey. HIV prevalence was 10.5% among 6 646 participants. Prevalence increased from 4.1% in the younger men (15-24 years), 12.5% in young men (25-34 years) to 12.7% in older men (≥ 35 years). Odds of being infected with HIV were lower among younger men who had secondary level education and those who reported poor/fair self-rated health. Young and older men of other race groups had lower odds of HIV infection. Odds of infection were lower among young men who had moderate/high exposure to HIV communication programmes. Men not aware of their HIV status had higher odds of HIV infection, including older men who never married. Improved access to education, behavioral change programmes, and awareness of HIV status are necessary to reduce the risk of HIV infection among Black African men.

HIV Prevalence and Associated Factors Among Men Who have Sex with Men (MSM) in New Jersey, U.S., 2017.

This study assessed the HIV prevalence among MSM in the greater Newark New Jersey area including Essex, Hudson, Morris and Union Counties and examined correlates of HIV infection among those men. By analyzing National HIV Behavioral Surveillance data on MSM from four counties in New Jersey (N = 175), which were collected via a venue-based sampling method in 2017, this study shows that HIV prevalence among all races/ethnicities (12.5-31.9%) and all age groups (15.1-47.8%) were high. Casual sex and unprotected sex with male partners were prevalent among these men, regardless of HIV test results. MSM who were tested HIV positive were more likely to have diagnosed any sexual transmitted diseases in the last 12 months (AOR: 6.7; 95% CI 2.2, 21.3) and less likely to have had alcohol use in the past 12 months (AOR: 0.3; 95% CI 0.1, 0.8). Findings from behavioral surveillance strengthens the response to the HIV epidemic by providing policy makers and care/prevention providers with peer reviewed data to base their decisions on.

Low prevalence of HIV infection among persons with disabilities in Niger: findings from a household-based cross-sectional study in 2018.

The aim of this work was to report for the first time the prevalence of HIV infection among people with disabilities (PWDs) in Niger. The Washington Group Short questionnaire was used to identify people with disabilities during a household survey. Blood samples for HIV testing were collected using the Dried Blood Sampling (DBS) method. HIV testing was performed according to the Niger national HIV testing guideline. A total of 21,979 persons aged 15-69 years were screened, of them 2237 (10.17%) had disabilities and 949 participants (4.32%) had severe disabilities (level 3 or 4). Finally, 821 participants agreed to participate in the HIV testing. Female persons with disabilities accounted for the majority (52.25%). People with physical impairment were mostly represented (39.27%) followed by those with visual impairment (38.66%). At least one-third had multiple impairs (36.91%). HIV prevalence among person with disabilities was 0.66% (95% CI: 0.33-1.30). There is no difference between HIV prevalence and type of disabilities or socio-demographic characteristics. Hence, there is a need to consider them in the development and implementation of an effective HIV strategy.

Prevalence and factors associated with HIV infection among people with disabilities in Mali.

Previous studies on HIV and disability have reported the vulnerability of people with disabilities (PWDs) to HIV and the need to include them in HIV prevention programs. However, in Mali, data on HIV among this population is scarce. This study aims to estimate HIV prevalence and risk factors among people with disabilities in Mali. We conducted a household-based cross-sectional study in six regions of Mali. The Washington Group (WG) short questionnaire was used to identify PWDs in the household. A total of 1051 PWDs were included in the study. The prevalence of HIV infection among people with disabilities in Mali was 2.38% (25/1051), with a 95% confidence interval (CI) of 1.58%-3.44%. HIV prevalence was higher in women (3.31% [95%CI: 2.14-4.88]) than in men (0.78% [95%CI: 0.22-2.06]). People with visual or intellectual functional limitations were the most affected, with 3.93% (95%CI: 2.22-6.44) and 2.67% (95%CI: 0.56-8.28), respectively. Multivariate analysis shows that age, sex, type of disability and sexual violence are the risk factors for HIV infection among people with disabilities in Mali. These results suggest that HIV strategies should include people with disabilities in order to achieve the target of ending the HIV/AIDS epidemic by 2030 in Mali.

Prevalence and risk factors of HIV infection among people with disabilities in Burkina Faso.

This study aimed to determine the prevalence and risk factors of HIV infection among people with disabilities (PWDs) in Burkina Faso. We carried out a cross-sectional study on level 3 and/or 4 disabled people. Identification of PWDs aged 15-69 years was done in households using the Washington Group (WG) Short questionnaire, following by HIV behavioural survey and HIV testing. Multi-level binary logistics Bayesian analysis was done to identify factor associated with HIV. In total, 973 PWDs were included in this study. HIV prevalence was 4.6% (3.3-6.1%). Independent factors associated with HIV infection were aged 35-44 years old (AOR: 8.93; 95% CrI: 3.57-18.89), had visual or hearing impairments (AOR: 6.38; 95%CrI: 1.95-15.44), no income (AOR:6.11; 95% CrI: 2.49-12.48), and had casual sex partners (AOR: 6.28; 95% CrI: 3.27-11.13). HIV prevalence is high compared to the general population. These data suggest a need for comprehensive and specific HIV prevention among people with disabilities, including awareness for safer sexual behaviours.

Spatial analysis of HIV infection and the associated correlates among transgender persons in the United States.

Identifying the geographic hotspots of HIV infection among high-risk populations such as transgender people is critical to ending the HIV epidemic in the United States (U.S.). This study examined the spatial pattern of HIV positivity rate and the associated correlates among transgender persons in the 48 contiguous states and the District of Columbia in the U.S. The data source was the 2015 U.S. Transgender Survey (n = 27,715). We conducted spatial analyses, with state as the unit of analysis. We fitted a spatial lag regression model to assess demographic, social, and behavioral risk variables associated with HIV. The HIV positivity rate ranged by state from 0.5% to 17.1%, with a mean of 2.9%. There was a significant positive global spatial autocorrelation (global Moran's I = 0.42, p = 0.001). The identified spatial clusters of high values (hot spots i.e., states with high HIV positivity rates surrounded by states with similarly high rates) included five neighboring states (Arkansas, Louisiana, Mississippi, Alabama, and Tennessee) in the Southern region. HIV positivity rate was positively associated with the percentage of transgender persons who were non-Hispanic Black, had no high school education, living in poverty, and engaged in sex work. Structural interventions are needed to address education, poverty, racial discrimination, and sex work that predispose transgender persons to HIV.

Injecting drug use & HIV prevalence among female sex workers: Evidence from the National Integrated Biological & Behavioural Surveillance, India.

Background & objectives: Female sex workers (FSWs) who inject drugs (FSW-IDs) have a higher risk of HIV infection and transmission. Understanding the socio-demographic characteristics and other risk behaviours among FSW-IDs will help in strengthening targeted interventions for HIV prevention and management. In the present study, the HIV prevalence, associated socio-demographic characteristics and risk behaviours among FSWs who injected drugs (FSW-IDs) and those who did not ID (FSW-NIDs) was determined in India. Methods: The national cross-sectional, community-based, integrated biological and behavioural surveillance was conducted in 2014-2015 at 73 randomly selected FSW domains across 28 States and Union Territories in India. The sample size was fixed at 400 for each domain, and a probability-based sampling method was followed. The data were analyzed by logistic regression methods. Results: Data from 27,007 FSWs were included in the analysis, of which 802 (3%) were FSW-IDs. HIV prevalence among FSW-IDs was significantly higher than that in FSW-NIDs (4.5 vs. 1.9%). Univariate analysis showed that factors significantly associated with higher HIV prevalence among FSW-IDs were older age, sex work as the only source of income, dissolved marriage, living with a sex worker, urban locality of sex work and consumption of alcohol or oral drugs. In multivariable analysis, factors such as older age of FSW-IDs (35 yr and above), having a dissolved marriage and sex work being the only source of income were observed to be independently and significantly associated with higher HIV prevalence. Interpretation & conclusions: Scaling up the HIV preventive interventions for FSW-IDs, such as facilitating awareness and improved access to needle and syringe exchange programme (NSEP) and opioid substitution therapy (OST), encouraging safe sex and injecting practices, educating on the harmful effects of alcohol and drugs and providing alternative vocation options to secure their financial needs are several strategies that may reduce HIV transmission among FSWs.

Geo-analysis: the distribution of community health workers in relation to the HIV prevalence in KwaZulu-Natal province, South Africa.

BACKGROUND: The South African Ward Based Primary Health Care Outreach Team (WBPHCOT) policy framework states that the distribution of community health workers (CHWs) should be proportional to levels of poverty and disease within the population. We aimed to describe the spatial distribution of CHWs in relation to the prevalence of the Human Immunodeficiency Virus (HIV) which has itself been associated with poverty in previous studies. METHODS: This was a descriptive, cross-sectional study in which secondary data was used for geospatial analysis. Based on the extrapolation from the norm of one WBPHCOT per 6000 individuals, we utilized geographic information system (GIS) methods to visualize the distribution of CHWs in relation to the prevalence of HIV in KwaZulu-Natal (KZN). Dot density mapping was used to visualize the random distribution of CHWs in relation to HIV prevalence and population in the districts. The districts' HIV prevalence, number of PLWH, ratio of CHW: people living with HIV (PLWH), ratio of CHW: population and poverty scores were mapped using choropleth mapping. MapInfo Pro 17.0 was used to map geospatial presentation of the data. RESULTS: Overall, KZN province showed under allocation of CHWs with a CHW: people ratio of 1: 1156 compared to the estimated norm of 1: 600-1000. At district level, only two of 11 districts met the suggested norm of CHW: PLWH (1: 109-181). This indicates shortages and misallocation of CHWs in the nine remaining districts. Furthermore, our findings showed extensive geospatial heterogeneity with no clear pattern in the distribution of CHWs. There was no relationship between CHW distribution and HIV prevalence or poverty scores in the districts. CONCLUSION: This study shows inequality in the distribution of CHWs which may be associated with inequalities in the provision of HIV related services. It is critical to strengthen the response to the HIV epidemic through the appropriate distribution of CHWs especially in those districts with high levels of HIV prevalence and poverty.

Correlates and cascade of HIV care in patients with psychiatric disorders in the Eastern Cape province, South Africa.

Background: The cascade of human immunodeficiency virus (HIV) care in patients with psychiatric disorders is poorly understood. Aim: This study determined the prevalence of HIV and described its cascade of care among patients with psychiatric disorders in the Eastern Cape province, South Africa. The study also examined the correlates of HIV comorbidity with psychiatric disorders in the cohort. Methods: In this cross-sectional study, a total of 368 individuals attending the Psychiatric Outpatients' Department of Cecilia Makiwane Hospital in Eastern Cape were interviewed with a structured questionnaire. Relevant items on demographics and clinical information were extracted from the medical records. Virologic suppression was defined as viral load < 1000 RNA copies/mL. Results: The HIV prevalence after the intervention was 18.8% and a significant proportion of participants already knew their status (n = 320; 87.0%). Linkage to care and antiretroviral therapy initiation occurred in 61 participants, of those diagnosed with HIV (88.4%), with 84.1% being eligible for viral load monitoring (n = 58) and 53.4% having achieved virologic suppression. Being female (AOR = 5.48; 95% CI 2.61-11.51) and black (adjusted odds ratio [AOR] = 3.85; 95% confidence interval [CI] 1.06-14.03) were independent predictors of HIV comorbidity in individuals living with psychiatric disorders. Conclusion: This study found a moderately high prevalence (close to 19%) of HIV in individuals with psychiatric disorders, with a significant correlation with being female and being black people. This study also found a significant gap in the linkage to antiretroviral therapy (ART) initiation and a low rate of virologic suppression of 53.4%. Clinicians, therefore, should monitor and provide interventions for patients with concomitant HIV infection along this cascade of care.

Prevalence and Risk Factors for HIV Infection Among Heterosexual Men Recruited from Socializing Venues in Rural KwaZulu-Natal, South Africa.

Young heterosexual men have low uptake of HIV prevention and treatment services and represent an important key population that may require novel strategies. We recruited 1271 heterosexual men, 12 years and older from socializing venues such as "shebeens", transport hubs, "spaza" shops, and community centers in rural KwaZulu-Natal, South Africa. Participants completed a questionnaire and were tested for HIV serostatus. Generalized estimating equations (GEE) with exchangeable covariance structure estimated factors independently associated with prevalent HIV infection. Median age was 25 years [Interquartile range (IQR) 21-29]. HIV prevalence was 15.5% [95% confidence interval (CI) 11.0-21.9] and increased significantly by age. Factors associated with higher odds of HIV infection were being 25 years and older [adjusted odds ratio (aOR) 4.82, 95% CI 3.47-6.69; p < 0.001), not completing high school (aOR 1.60, 95% CI 1.39-1.85; p < 0.001), not using condoms at first sex (aOR 1.43, 95% CI 1.20-1.70; p < 0.001), consuming alcohol (aOR 1.63, 95% CI 1.15-2.31; p = 0.006) or substances (aOR 1.37, 95% CI 1.31-1.44; p < 0.001), and absence of medical circumcision (aOR 2.05, 95% CI 1.71-2.44; p < 0.001). Risk was lower among those testing for HIV in last 12 months (aOR 0.54, 95% CI 0.36-0.80; p = 0.002). Greater effort is needed to implement innovative programs within settings that are easily accessible and where heterosexual men are likely to be.

The Prevalence of HIV Among Men Who Have Sex With Men (MSM) and Young MSM in Latin America and the Caribbean: A Systematic Review.

Young men who have sex with men (YMSM) under 25 years old are among the few populations with increasing numbers of new HIV infections in parts of the world where HIV incidence is declining overall. In this systematic review, we synthesize the literature on HIV prevalence among MSM in Latin America and the Caribbean focusing on YMSM. Results were stratified according to study population sampling method used (probability and non-probability based). Forty-seven studies from 17 countries were published in the last 10 years. Among studies using probability-based sampling method (N = 21), HIV prevalence among MSM ranged from 1.2 to 32.6%. HIV prevalence tended to increase over time in studies sampling at different time points. HIV prevalence among YMSM exceeded 5.0% in more than a half of studies (51%; N = 22/43). Our review corroborates the high and potentially rising incidence of HIV among YMSM and characterizes the region's greatest challenge to ending the epidemic.

RESUMEN: Los hombres jóvenes que tienen sexo con hombres (JHSH) menores de 25 años se encuentran entre las pocas poblaciones con un aumento en las nuevas infecciones por VIH en regiones del mundo donde la incidencia del VIH está disminuyendo en general. En esta revisión sistemática, resumimos la literatura sobre la prevalencia del VIH entre HSH en América Latina y el Caribe, con un enfoque en JHSH. Los resultados se estratificaron por método de muestreo de la población de estudio (probabilístico y no probabilístico). Nuestra investigación encontró 47 estudios de 17 países publicados en los últimos 10 años. Entre los estudios que utilizaron muestreo probabilístico (N = 21), la prevalencia del VIH entre HSH osciló entre 1.2% y 32.6%. La prevalencia del VIH aumentó con el tiempo en ciudades que repitieron el método de muestreo. La prevalencia del VIH entre JHSH superó el 5.0% en más de la mitad de los estudios (51%; N = 22/43). Nuestro análisis corrobora la alta y potencialmente creciente incidencia de VIH entre JHSH y caracteriza el mayor desafío de la región para poner fin a la epidemia.

Low socioeconomic status is associated with self-reported HIV positive status among young MSM in Brazil and Peru.

BACKGROUND: Despite efforts to stop HIV epidemic in Latin America, new HIV cases continue to increase in the region especially among young MSM (YMSM). This study aims to assess if sociodemographic characteristics are associated with self-reported HIV positive status among YMSM from three Latin American countries. METHODS: Cross-sectional web-based survey advertised on dating apps (Grindr and Hornet) and Facebook in Brazil, Mexico and Peru. For this analysis, we included YMSM aged 18-24 years who self-reported their HIV status. We used multivariable logistic regression models for each country separately to verify if sociodemographic characteristics (race, education and income) were associated with HIV self-reported status after adjusting for behavior characteristics (sexual attraction and steady partner). RESULTS: Among 43,687 MSM who initiated the questionnaire, 27,318 (62.5%) reported their HIV status; 7001 (25.6%) of whom were YMSM. Most YMSM (83.4%) reported an HIV test in the past year, and 15.7% reported an HIV positive status in Peru, 8.4% in Mexico and 7.7% in Brazil. In adjusted models, low-income was associated with higher odds of self-reported HIV positive status in Brazil (aOR = 1.33, 95%CI: 1.01-1.75) and Peru (aOR = 1.56, 95%CI: 1.02-2.40), but not in Mexico. Lower education was associated with higher odds of self-reported HIV positive status only in Brazil (aOR = 1.35, 95%CI: 1.05-1.75). CONCLUSIONS: In this large, cross-country study, self-reported HIV positive status among YMSM was high. Lower socioeconomic status was associated with higher odds of self-reported HIV positive status in Brazil and Peru. There is an urgent need for HIV prevention interventions targeting YMSM, and efforts to address low-income YMSM are especially needed in Peru and Brazil.