We introduce a new venue-informed network degree measure, which we applied to respondent-driven sampling (RDS) estimators. Using data collected from 746 young MSM in 2014-2016 in Chicago, IL, and Houston, TX, we estimated the population seroprevalence of HIV and syphilis and risk/protective behaviors, using RDS estimates with self-reported network size as a standard degree measure as well as our proposed venue-informed degree measure. The results indicate that the venue-informed degree measure tended to be more efficient (smaller variance) and less biased than the other measure in both cities sampled. Venue attendance-adjusted network size may provide a more reliable and accurate degree measure for RDS estimates of the outcomes of interest.

IMPORTANCEIn the United States, adolescents who are lesbian, gay, or bisexual (LGB) face disparities across physical and mental health outcomes compared with non-LGB youth, yet few studies have looked at patterns of health care utilization by sexual orientation. OBJECTIVE To compare health care utilization indicators for LGB and non-LGB youth. DESIGN, SETTING, AND PARTICIPANTS This cohort study analyzed wave 3 data from Healthy Passages, a longitudinal observational study of diverse public school students in Birmingham, Alabama; Houston, Texas; and Los Angeles County, California. Multivariable logistic regression models tested sexual-orientation differences in the past 12-month health care utilization measures, controlling for youth age, gender, race and ethnicity, household education, income, and marital status. Data collection began in 2010 when students were in the 5th grade (mean [SE] age, 11.13 [0.01] years) (wave 1) and continued 2 years later (wave 2, 7th grade) and 5 years later (wave 3, 10th grade). Permission to be contacted was provided for 6663 children, and 5147 (77%) participated in audio computer-assisted self-administered interviews. This study included 4256 youth (640 LGB, 3616 non-LGB) who completed interviews at wave 1 and wave 3 and answered key items used in this analysis. Analyses were completed in June 2021. EXPOSURES Sexual orientation (LGB vs non-LGB).MAIN OUTCOMES AND MEASURES Health care utilization and communication difficulty with a physician in the past 12 months. RESULTS Among 4256 youths included in the study at baseline in 5th grade (wave 1), 2171 (48.9%) were female; 1502 (44.5%) were Hispanic or Latino; 1479 (28.9%) were Black; the mean (SE) age was 11.19 (0.03) years; and 640 (14.5%) were LGB at wave 3. Compared with non-LGB youth, a higher proportion of LGB youth reported not receiving needed medical care in the last 12 months (adjusted odds ratio [aOR], 1.68; 95% CI,1.38-2.05), most commonly for sexually transmitted infections, contraception, and substance use. LGB youth more frequently reported difficulty communicating with their physician (aOR, 1.71; 95% CI, 1.27-2.30) than non-LGB youth.CONCLUSIONS AND RELEVANCE This study's results found that health care utilization differs by sexual orientation for youth. These findings suggest that clinician training is needed to address the health care needs of LGB youth. Routinely capturing sexual orientation data might enable tracking of health care utilization indicators for LGB youth.

Differential classification for methamphetamine-using MSM suggests an opportunity for tailored interventions and secondary prevention programs. By understanding how men vary on illicit substance use, interventionists can routinely screen and link men before they potentially progress to another classification.

For decades, applications deployed on a world-wide scale have been forced to give up at least one of (1) strict serializability (2) low latency writes (3) high transactional throughput. In this paper we discuss SLOG: a system that avoids this tradeoff for workloads which contain physical region locality in data access. SLOG achieves high-throughput, strictly serializable ACID transactions at geo-replicated distance and scale for all transactions submitted across the world, all the while achieving low latency for transactions that initiate from a location close to the home region for data they access. Experiments find that SLOG can reduce latency by more than an order of magnitude relative to state-of-the-art strictly serializable geo-replicated database systems such as Spanner and Calvin, while maintaining high throughput under contention.

The public health response to India's HIV epidemic is currently different than in the West due to differences in medication access and public health infrastructure. As Indian MSM and hijras learn more about the effectiveness of viral suppression and hopefully have greater access to preexposure prophylaxis, researchers should monitor for changing attitudes toward condoms and be prepared to collaborate with the public health infrastructure in order to develop interventions that reinforce positive attitudes toward condom use.