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Using baseline data from the PrEP1519 cohort, in this article we aimed to analyze: (i) the effectiveness of demand creation strategies (DCS) to enroll adolescent men who have sex with men (AMSM) and adolescent transgender women (ATGW) into an HIV combination prevention study in Brazil; (ii) the predictors of DCS for adolescents' enrollment; and (iii) the factors associated with DCS by comparing online and face-to-face strategies for enrollment. The DCS included peer recruitment (i.e., online and face-to-face) and referrals from health services and non-governmental organizations (NGOs). AMSM and ATGW who agreed to participate in the study could opt to enroll in either PrEP (PrEP arm) or to use other prevention methods (non-PrEP arm). Bivariate and multivariate analyses were conducted and logistic regression odds ratios were estimated. The DCS reached 4529 AMSM and ATGW, the majority of which were derived online (73.8%). Of this total, 935 (20.6%) enrolled to participate (76.6% in PrEP arm and 23.4% in non-PrEP arm). The effectiveness of enrolling adolescents into both arms was greater via direct referrals (235/382 and 84/382, respectively) and face-to-face peer recruitment (139/670 and 35/670, respectively) than online (328/3342). We found that a combination under DCS was required for successful enrollment in PrEP, with online strategies majorly tending to enroll adolescents of a higher socioeconomic status. Our findings reinforce the need for DCS that actively reaches out to all adolescents at the greatest risk for HIV infection, irrespective of their socioeconomic status. [ABSTRACT FROM AUTHOR]

Copyright of AIDS & Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Currently, it is estimated that 37.6 million people are living with the HIV/AIDS virus worldwide, placing HIV/AIDS among the ten leading causes of death, mostly among low- and lower-middle-income countries. Despite the effective intervention in the prevention and treatment, this reduction did not occur equally among populations, subpopulations and geographic regions. This difference in the occurrence of the disease is associated with the social determinants of health (SDH), which could affect the transmission and maintenance of HIV. With the recognition of the importance of SDH in HIV transmission, the development of mathematical models that incorporate these determinants could increase the accuracy and robustness of the modeling. This article aims to propose a theoretical and conceptual way of including SDH in the mathematical modeling of HIV/AIDS. The theoretical mathematical model with the Social Determinants of Health has been developed in stages. For the selection of SDH that were incorporated into the model, a narrative literature review was conducted. Secondly, we proposed an extended model in which the population (N) is divided into Susceptible (S), HIV-positive (I), Individual with AIDS (A) and individual under treatment (T). Each SDH had a different approach to embedding in the model. We performed a calibration and validation of the model. A total of 31 SDH were obtained in the review, divided into four groups: Individual Factors, Socioeconomic Factors, Social Participation, and Health Services. In the end, four determinants were selected for incorporation into the model: Education, Poverty, Use of Drugs and Alcohol abuse, and Condoms Use. the section "Numerical simulation" to simulate the influence of the poverty rate on the AIDS incidence and mortality rates. We used a Brazilian dataset of new AIDS cases and deaths, which is publicly available. We calibrated the model using a multiobjective genetic algorithm for the years 2003 to 2019. To forecast from 2020 to 2035, we assumed two lines of poverty rate representing (i) a scenario of increasing and (ii) a scenario of decreasing. To avoid overfitting, we fixed some parameters and estimated the remaining. The equations presented with the chosen SDH exemplify some approaches that we can adopt when thinking about modeling social effects on the occurrence of HIV. The model was able to capture the influence of the employment/poverty on the HIV/AIDS incidence and mortality rates, evidencing the importance of SDOH in the occurrence of diseases. The recognition of the importance of including the SDH in the modeling and studies on HIV/AIDS is evident, due to its complexity and multicausality. Models that do not take into account in their structure, will probably miss a great part of the real trends, especially in periods, as the current on, of economic crisis and strong socioeconomic changes. [ABSTRACT FROM AUTHOR]

Copyright of AIDS & Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of AIDS & Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The aim of this study was to assess factors associated with unprotected receptive anal intercourse (URAI) in a sample of MSM recruited by respondent driven sampling in Brazil. Among 3,449 participants, 36.5 % reported URAI. Final logistic model indicated that living with a male partner, illicit drug use, having stable partnership, having sex with men only, having few friends encouraging condom use, and high self-perceived risk for HIV infection were characteristics independently associated with URAI. Intervention strategies should focus on the role of anal sex practices on HIV transmission, address illicit drug use, stigma and expansion of HIV testing and care. [ABSTRACT FROM AUTHOR]

By 1998, 21% of cumulative AIDS cases in Brazil had occurred among injection drug users (IDUs). After a protracted political battle, the first needle exchange program (NEP) in South America opened in Salvador, Bahia. This paper uses a variety of quantitative and qualitative data sources to describe the opening of the NEP and the impact upon it of a crack cocaine epidemic that swept the region shortly after the NEP opened. Quantitative data sources include 3 cross-sectional studies conducted in various districts of Salvador before and after the NEP opened, and process measures from the NEP. Qualitative data sources include participant observation in Pelourinho, a heavy drug-use area of Salvador, the field notes of outreach workers, and newspaper articles from the most widely read local newspaper. The initial cross-sectional study demonstrated a 58% HIV seroprevalence and a similar percentage of IDUs reported needle-sharing. These data were used to support the need for a local NEP, which ultimately opened in March 1995. Use of the NEP in Pelourinho dropped precipitously with the arrival of a crack cocaine epidemic, documented clearly in the newspaper and outreach workers' field notes. The data permit an analysis of when the epidemic arrived and the geographical spread of the drug through Salvador. They also clearly document how drug users switched from cocaine injection to crack in large numbers and how the NEP was forced to adapt to these changes in drug-use patterns. Reductions in injection risk behavior are documented in Pelourinho, but are difficult to ascribe with certainty to the NEP because of the limited numbers of persons still injecting and the consequent selection bias. There are now 30 NEPs throughout Brazil. [ABSTRACT FROM AUTHOR]