Faculty Bibliography

Between May 2020 and December 2021, there were 159,872 drug overdose deaths in the US. Higher eviction rates have been associated with higher overdose mortality. Amid the economic turmoil caused by the COVID-19 pandemic, 43 states and Washington, DC, implemented eviction moratoria of varying durations. These moratoria reduced eviction filing rates, but their impact on fatal drug overdoses remains unexplored. We evaluated the effect of these policies on county-level overdose death rates by focusing on the dates the state eviction moratoria were lifted. We obtained mortality data from NCHS and eviction moratoria dates from the COVID-19 US State Policy Database. We employed a longitudinal targeted minimum-loss-based estimation with Super Learner to flexibly estimate the average treatment effect (ATE) of never lifting the moratoria. Lifting state eviction moratoria was associated with a 0.14 per 100,000 higher rate of monthly overdose mortality (95%CI: -0.03, 0.32), although confidence intervals were wide and included zero. Eviction moratoria may not be sufficient to prevent overdose mortality during crises such as the COVID-19 pandemic.

INTRODUCTION/BACKGROUND:People who use drugs (PWUD) are at risk of HIV infection, but the frequency and distribution of transmission-associated behaviors within rural communities is not well understood. Further, while interventions designed to more explicitly affirm individuals' sexual orientation and behaviors may be more effective, descriptions of behavior variability by orientation are lacking. We sought to describe how disease transmission behaviors and overdose risk vary by sexual orientation and activity among rural PWUD. METHODS:From 01/2018-03/2020, rural PWUD participating in the Rural Opioid Initiative were surveyed across 8 sites. Collected data included: demographics; experiences with drug use, overdose, and healthcare; stigma; gender identity; and sexual orientation and partners. Participants were categorized as: monosexual by orientation and behavior (Mono-only), monosexual by orientation but behaviorally bisexual (Mono/Bi), and bisexual by orientation (Bi+). Analyses included descriptive summaries, bivariate examination (chi-square), and logistic regression (relative risk [RR] and 95 % confidence interval [CI]). RESULTS:The 1455 participants were 84.8 % Mono-only, 3.2 % Mono/Bi, and 12.0 % Bi+. Compared to Mono-only men, Mono/Bi and Bi+ men had greater risk of transactional sex (RR = 9.71, CI = 6.66-14.2 and RR = 5.09, CI = 2.79-9.27, respectively) and sharing syringes for injection (RR = 1.58, CI = 1.06-2.35 and RR = 1.85, CI = 1.38-2.47). Compared to Mono-only women, Mono-Bi and Bi+ women had greater risk of transactional sex (RR = 4.47, CI = 2.68-7.47 and RR = 2.63, CI = 1.81-3.81); and Bi+ women had greater risk of sharing syringes for injection (RR = 1.49, CI = 1.23-1.81), sharing syringes to mix drugs (RR = 1.44, CI = 1.23-1.69), and experiencing an overdose (RR = 1.32, CI = 1.12-1.56). Bi+ men and women both more frequently reported selling sex as a source of income (versus Mono-only, both p < 0.050) and measures of perceived stigma (all p < 0.050). CONCLUSIONS:Rural PWUD who are bisexual by orientation or behavior are significantly more likely to engage in behaviors associated with infectious disease transmission and to experience stigma and drug overdose. Given the growing recognition of bisexuality as a distinct orientation that warrants individualized consideration, interventions that are specifically acknowledging and affirming to the circumstances of this group are needed.

IMPORTANCE/UNASSIGNED:Opioid-related overdose accounts for almost 80 000 deaths annually across the US. People who use drugs leaving jails are at particularly high risk for opioid-related overdose and may benefit from take-home naloxone (THN) distribution. OBJECTIVE/UNASSIGNED:To estimate the population impact of THN distribution at jail release to reverse opioid-related overdose among people with opioid use disorders. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This study developed the agent-based Justice-Community Circulation Model (JCCM) to model a synthetic population of individuals with and without a history of opioid use. Epidemiological data from 2014 to 2020 for Cook County, Illinois, were used to identify parameters pertinent to the synthetic population. Twenty-seven experimental scenarios were examined to capture diverse strategies of THN distribution and use. Sensitivity analysis was performed to identify critical mediating and moderating variables associated with population impact and a proxy metric for cost-effectiveness (ie, the direct costs of THN kits distributed per death averted). Data were analyzed between February 2022 and March 2024. INTERVENTION/UNASSIGNED:Modeled interventions included 3 THN distribution channels: community facilities and practitioners; jail, at release; and social network or peers of persons released from jail. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was the percentage of opioid-related overdose deaths averted with THN in the modeled population relative to a baseline scenario with no intervention. RESULTS/UNASSIGNED:Take-home naloxone distribution at jail release had the highest median (IQR) percentage of averted deaths at 11.70% (6.57%-15.75%). The probability of bystander presence at an opioid overdose showed the greatest proportional contribution (27.15%) to the variance in deaths averted in persons released from jail. The estimated costs of distributed THN kits were less than $15 000 per averted death in all 27 scenarios. CONCLUSIONS AND RELEVANCE/UNASSIGNED:This study found that THN distribution at jail release is an economical and feasible approach to substantially reducing opioid-related overdose mortality. Training and preparation of proficient and willing bystanders are central factors in reaching the full potential of this intervention.

OBJECTIVE:To ascertain whether a novel expanded social network recruitment to HIV testing (E-SNRHT) intervention recruits men and individuals with previously-undiagnosed HIV at higher rates than risk network recruitment. DESIGN/METHODS:Initial "seed" participants were prospectively randomly assigned to the E-SNRHT intervention or to risk network recruitment. Their network members were included in the study arm of their recruiter. SETTING/METHODS:Three Department of Health clinics and two drug treatment centers (DTCs) in the Msunduzi municipality of KwaZulu-Natal, South Africa. PARTICIPANTS/METHODS:Clinics and DTCs referred 110 newly-HIV-diagnosed adult "seeds" to the study from June 2022-February 2023. E-SNRHT seeds were asked to recruit network members as described below; risk network recruitment arm seeds were asked to recruit recent sex and/or injection partners. Presenting a recruitment coupon (from clinic/DTC staff or another participant) was required for eligibility. INTERVENTION/METHODS:E-SNRHT seeds were shown educational material about HIV transmission risks and then asked to recruit anyone they know (e.g., friends, family) whom they thought could benefit from HIV testing. MAIN OUTCOME MEASURES/METHODS:Rates of recruiting men to HIV testing and locating individuals with previously-undiagnosed HIV. RESULTS:E-SNRHT recruited significantly higher proportions of men to HIV testing (70.3% vs. 40.4%; χ2 = 16.33; p < .0005) and located significantly more previously-undiagnosed cases of HIV per seed than risk network recruitment (rate ratio = 9.40; p < .0001). E-SNRHT also recruited significantly higher proportions of women with previously-undiagnosed HIV (29.0% vs. 10.7%; χ2 = 3.87; p = .049). CONCLUSIONS:E-SNRHT is an important strategy to expand the reach of HIV testing among men and undiagnosed cases of HIV in KwaZulu-Natal.

People living with HIV (PLWH) and people who use drugs are vulnerable populations who may face barriers to accessing health services and may have irregularities in immune function. People with undiagnosed HIV infection may be particularly likely to have compromised immune function. However, research about whether/how HIV status is related to COVID-19-related health outcomes has been equivocal, and research on the predictors of COVID-19-related health service access/uptake has been limited in Sub-Saharan African settings. Among 470 participants of a peer-recruitment-based HIV-testing intervention in KwaZulu-Natal, we examined whether HIV status and/or hard drug use were associated with uptake of COVID-19 testing and vaccination, and whether they moderated the relationship between COVID-19 vaccination status and COVID-19 IgG antibody status. Women were significantly more likely than men to report testing for COVID-19 (OR = 1.84; p = 0.002) and being vaccinated (OR = 1.79; p = 0.002). Neither HIV status nor drug use was associated with likelihood of getting tested or vaccinated. Vaccinated participants (90% of whom obtained vaccines more than 6 months before the study) were significantly more likely to test positive for COVID-19 IgG antibodies (OR = 6.86; p < 0.0005). This relationship held true for subgroups of PLWH and participants with previously undiagnosed/uncontrolled HIV infection, and was not moderated by HIV status or hard drug use. These findings may suggest that both people who use drugs and PLWH were served as well as other people by KwaZulu-Natal's COVID-19 response. However, gender-based disparities in COVID-19 service uptake suggest that special care should be taken during future COVID-19 outbreaks or other new epidemics to improve access to related healthcare services among men in this region.

This article traces the evolution of the Big Events framework since it began as an attempt to understand why sociopolitical transitions in the Former Soviet Union, South Africa, and Indonesia were followed by HIV outbreaks. Big Events frameworks have evolved over time, but all versions try to concretize how macrosocial changes lead to social, personal and environmental changes that shape risk environments and drug use or other behavioral patterns in ways that may lead to epidemics. Important stages in the evolution of the Big Events framework included understanding that the sequelae of Big Events were contingent rather than deterministic, and the development of new survey measures to understand pathways through which Big Events affect social and epidemiologic outcomes. On a broader level, the Big Events framework is a useful crystallization and application of more abstract sociological, social epidemiologic and Marxist frameworks about upstream/downstream relationships and how major social changes are related to epidemics. As such, they raise issues of how to conduct research on dialectical interaction processes. On another level, this article traces the Big Events "style of thought" as Mannheim (Mannheim, 1971) termed it, within the historical context of changes in public health and social science theory, particularly during and after the 1960s.

HIV-related stigma is a well-documented barrier to HIV testing in South Africa, and may be particularly likely to create reluctance to test among South African men, who have reported feeling blamed for HIV by their partners and communities. The present study presents a novel expanded social network recruitment to HIV testing (E-SNRHT) intervention explicitly designed to reduce stigma as a barrier to testing by asking people to recruit anyone they know to testing, thus allowing them to avoid the potential for increased stigma and/or blame associated with direct risk partner recruitment, and helping to normalize openly discussing HIV among social networks. We examined baseline and 6-10-week follow-up data from a 2022-2023 randomized trial in KwaZulu-Natal, South Africa that recruited 110 individuals who had been newly diagnosed with HIV and randomly assigned them to recruit people to HIV testing either via the E-SNRHT intervention or via risk network recruitment. Participants in the E-SNRHT intervention reported significant decreases in anticipated and enacted HIV-related stigma between baseline and follow-up; and the E-SNRHT intervention was more effective at decreasing enacted HIV-related stigma than was risk network recruitment. Individuals newly diagnosed with HIV by the E-SNRHT intervention reported significant increases in social support between intervention enrollment and follow-up, and all of these individuals reported participating in positive conversations about HIV services with peers in the 6-10 weeks after intervention enrollment. These findings suggest that E-SNRHT is a potentially important strategy to reduce HIV-related stigma as a barrier to HIV testing among peer networks in KwaZulu-Natal.

The U.S. population has suffered worse health consequences owing to COVID-19 than comparable wealthy nations. COVID-19 had caused more than 1.1 million deaths in the U.S. as of May 2023 and contributed to a 3-year decline in life expectancy. A coalition of public health workers and community activists launched an external review of the Centers for Disease Control and Prevention's pandemic management from January 2021 to May 2023. The authors used a modified Delphi process to identify core pandemic management areas, which formed the basis for a survey and literature review. Their analysis yields 3 overarching shortcomings of the Centers for Disease Control and Prevention's pandemic management: (1) Centers for Disease Control and Prevention leadership downplays the serious impacts and aerosol transmission risks of COVID-19, (2) Centers for Disease Control and Prevention leadership has aligned public guidance with commercial and political interests over scientific evidence, and (3) Centers for Disease Control and Prevention guidance focuses on individual choice rather than emphasizing prevention and equity. Instead, the agency must partner with communities most impacted by the pandemic and encourage people to protect one another using layered protections to decrease COVID-19 transmission. Because emerging variants can already evade existing vaccines and treatments and Long COVID can be disabling and lacks definitive treatment, multifaceted, sustainable approaches to the COVID-19 pandemic are essential to protect people, the economy, and future generations.

BACKGROUND:Intervention packages may result in a greater public health impact than single interventions. Understanding the separate impact of each component on the overall package effectiveness can improve intervention delivery. METHODS:We adapted an approach to evaluate the effects of a time-varying intervention package in a network-randomized study. In some network-randomized studies, only a subset of participants in exposed networks receive the intervention themselves. The spillover effect contrasts average potential outcomes if a person was not exposed to themselves under intervention in the network versus no intervention in a control network. We estimated the effects of components of the intervention package in HIV Prevention Trials Network 037, a Phase III network-randomized HIV prevention trial among people who inject drugs and their risk networks using marginal structural models to adjust for time-varying confounding. The index participant in an intervention network received a peer education intervention initially at baseline, then boosters at 6 and 12 months. All participants were followed to ascertain HIV risk behaviors. RESULTS:There were 560 participants with at least one follow-up visit, 48% of whom were randomized to the intervention, and 1,598 participant visits were observed. The spillover effect of the boosters in the presence of initial peer education training was a 39% rate reduction (rate ratio = 0.61; 95% confidence interval = 0.43, 0.87). CONCLUSIONS:These methods will be useful for evaluating intervention packages in studies with network features.

BACKGROUND:New diagnoses of HIV-1 infection among people who inject drugs (PWID) in Athens, Greece, saw a significant increase in 2011 and a subsequent decline after 2013. Despite this, ongoing HIV-1 transmission persisted from 2014 to 2020 within this population. Our objective was to estimate the time of infection for PWID in Athens following the HIV-1 outbreak, explore the patterns of HIV-1 dispersal over time, and determine the duration from infection to diagnosis. METHODS:Time from HIV-1 infection to diagnosis was estimated for 844 individuals infected within 4 PWID-specific clusters and for 8 PWID infected with sub-subtype A6 diagnosed during 2010-2019. Phylogeny reconstruction was performed using the maximum-likelihood method. HIV-1 infection dates were based on molecular clock calculations. RESULTS:In total 86 of 92 (93.5%) sequences from PWID diagnosed during 2016-2019 were either related to the previously identified PWID-specific clusters (n = 81) or belonged to a new A6 cluster (n = 5). The median time between infection and diagnosis was 0.42 years during the outbreak period and 0.70 years during 2016-2019 (p < 0.001). The proportion of clustered sequences from PWID was very low at 5.3% during the pre-outbreak period (1998-2009), saw an increase to 41.7% one year before the outbreak in 2010, and consistently remained high during the whole period after 2011, spanning the post-outbreak period (2016-2019) with a range from 92.9% to 100%. CONCLUSIONS:The substantial proportion of clustered infections (93.5%) during 2016-2019 implies a persistent 'slow burn' HIV outbreak among PWID in Athens, suggesting that the outbreak was not successfully eliminated. The consistently high proportion of clustered sequences since the onset of the outbreak suggests the persistence of ongoing HIV-1 transmission attributed to injection practices. Our findings underscore the importance of targeted interventions among PWID, considering the ongoing transmission rate and prolonged time from infection to diagnosis.