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Purpose: HIV biomedical intervention uptake is suboptimal among Black sexually minoritized men (SMM) and transgender women (TW). Venues where people meet and interact shape HIV-related risk and prevention behaviors. We aimed to construct GPS-defined venue-based affiliation networks and identify the unique set of venues that could maximize reach of HIV biomedical interventions among Black SMM and TW., Methods: We used baseline survey and GPS data from 272 Black SMM and TW in the Neighborhoods and Networks (N2) Cohort Study in Chicago, Illinois (2018-2019). We mapped participants' GPS data to the nearest pre-identified SMM- and TW-friendly venue (n = 222) to construct affiliation networks. Network analyses were performed to identify influential venues that can yield high reach to intervention candidates., Results: Participants were affiliated with 75.5 % of all pre-identified venues based on GPS data. Two influential venues were identified in the non-PrEP use network, which when combined, could reach 52.5 % of participants not taking PrEP. Participants that could be reached through these two influential venues reported more non-main sex partners than participants not affiliated with either venue (p = 0.049)., Conclusion: We demonstrate a potential for GPS-defined venue-based affiliation networks to identify unique combinations of venues that could maximize the impact of HIV prevention interventions., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Purpose: We examine how various pre-exposure prophylaxis (PrEP) accessibility measures impact the detection of PrEP shortage areas and the relation of shortage areas to social determinants of health (SDOH)., Methods: Using ZIP Code Tabulation Areas (ZCTAs) in New York City as a case study, we compared 25 measures of spatial PrEP accessibility across four categories, including density, proximity, two-step floating catchment area (2SFCA), and Gaussian 2SFCA (G2SFCA). Bayesian spatial regression models were used to examine how PrEP accessibility is associated with SDOH., Results: Using density to measure PrEP accessibility for small areas such as ZCTAs poses challenges to statistical modeling because the measured accessibility values are highly skewed with excess zeros, leading to the necessity of using complex models such as the two-part mixture model. When G2SFCA measures are used, which account for distance decay effects and the competition from the PrEP demand side, findings on PrEP shortage area detection and the association between PrEP accessibility and SDOH were more consistent and less sensitive to spatial scales (i.e., varying from 10- to 30-minute driving)., Conclusions: This research adds to the nascent research on PrEP accessibility measurement and sheds light on selecting an appropriate measure to assess spatial disparities in PrEP accessibility and its associations with SDOH., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (Copyright © 2023 Elsevier Inc. All rights reserved.)

We propose the observational-implementation hybrid approach-the incorporation of implementation science methods and measures into observational studies to collect information that would allow researchers to anticipate, estimate, or infer the effects of interventions and implementation strategies. Essentially, we propose that researchers collect implementation data early in the research pipeline, in situations where they might not typically be thinking about implementation science. We describe three broad contextual scenarios through which the observational-implementation hybrid approach would most productively be applied. The first application is for observational cohorts that individually enroll participants-either for existing (to which implementation concepts could be added) or for newly planned studies. The second application is with routinely collected program data, at either the individual or aggregate levels. The third application is to the collection of data from study participants enrolled in an observational cohort study who are also involved in interventions linked to that study (e.g., collecting data about their experiences with those interventions). Examples of relevant implementation data that could be collected as part of observational studies include factors relevant to transportability, participant preferences, and participant/provider perspectives regarding interventions and implementation strategies. The observational-implementation hybrid model provides a practical approach to make the research pipeline more efficient and to decrease the time from observational research to health impact. If this approach is widely adopted, observational and implementation science studies will become more integrated; this will likely lead to new collaborations, will encourage the expansion of epidemiological training, and, we hope, will push both epidemiologists and implementation scientists to increase the public health impact of their work., (Copyright © 2023 Elsevier Inc. All rights reserved.)

We assessed the geographic variation in socio-demographics, mobility, and built environmental factors in relation to COVID-19 testing, case, and death rates in New York City (NYC). COVID-19 rates (as of June 10, 2020), relevant socio-demographic information, and built environment characteristics were aggregated by ZIP Code Tabulation Area (ZCTA). Spatially adjusted multivariable regression models were fitted to account for spatial autocorrelation. The results show that different sets of neighborhood characteristics were independently associated with COVID-19 testing, case, and death rates. For example, the proportions of Blacks and Hispanics in a ZCTA were positively associated with COVID-19 case rate. Contrary to the conventional hypothesis, neighborhoods with low-density housing experienced higher COVID-19 case rates. In addition, demographic changes (e.g. out-migration) during the pandemic may bias the estimates of COVID-19 rates. Future research should further investigate these neighborhood-level factors and their interactions over time to better understand the mechanisms by which they affect COVID-19., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The purpose of this study was to examine and quantify spatial mobility among HIV-negative young men who have sex with men (YMSM) within and across high prevalence HIV neighborhoods in New York City (NYC). We completed an analysis with global positioning system (GPS) and survey data to quantify spatial mobility for participants enrolled in the P18 Neighborhood Study (analytic n = 211; 83.4%). Spatial mobility was documented with self-reported survey data and objective GPS data, which was uncorrelated. Nearly one-quarter of participants (26.1%) said that they consider the neighborhood in which they currently live to differ from the neighborhood in which they had sex most frequently. In addition, 62.9% of participants' GPS points were recorded in NYC ZIP Code Tabulation Areas within the highest quartile of HIV prevalence. Future studies of YMSM populations should be conducted to examine how environments beyond the residential neighborhood can influence sexual health, which may guide HIV prevention services., (Copyright © 2020. Published by Elsevier Ltd.)

Drug- and alcohol-poisoning deaths remain current public health problems. Studies to date have typically focused on individual-level predictors of drug overdose deaths, and there remains a limited understanding of the spatiotemporal patterns and predictors of the joint outcomes. We use a hierarchical Bayesian spatiotemporal multivariate Poisson regression model on data from (N = 167) ZIP-codes between 2009 and 2014 in New York City to examine the spatiotemporal patterns of the joint occurrence of drug (opioids) and alcohol-poisoning deaths, and the covariates associated with each outcome. Results indicate that rates of both outcomes were highly positively correlated across ZIP-codes (cross-correlation: 0.57, 95% credible interval (CrI): 0.29, 0.77). ZIP-codes with a higher prevalence of heavy drinking had higher alcohol-poisoning deaths (relative risk (RR):1.63, 95% CrI: 1.26, 2.05) and drug-poisoning deaths (RR: 1.29, 95% CrI: 1.03, 1.59). These spatial patterns may guide public health planners to target specific areas to address these co-occurring epidemics., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: HIV-positive persons who use stimulants such as methamphetamine experience greater difficulties in navigating the HIV care continuum. In the era of HIV treatment as prevention (TasP), little is known about the prevalence and correlates of success along the HIV care continuum among people who use stimulants., Setting: San Francisco, California USA METHODS: Cross-sectional study that enrolled 129 HIV-positive men who have sex with men (MSM) from 2013 through 2017 who had biologically confirmed, recent methamphetamine use. Multivariable logistic regressions were built to identify correlates of success across the HIV care continuum., Results: Although two-thirds (87/129) of participants had undetectable HIV viral load (<40 copies/mL), only one-in-four (32/129) reported taking at least 90% of their antiretroviral therapy (ART). Those who were homeless in the past year (adjusted odds ratio [aOR] = 0.20; 95% CI = 0.06-0.65) had 80% lower odds of being undetectable and adherent to ART. Substance use disorder treatment was associated with 77% lower odds of being engaged in HIV care (aOR = 0.23; 95% CI = 0.06-0.84) but also close to 3-fold greater odds of being adherent to ART (aOR = 2.91; 95% CI = 1.12-7.60)., Conclusion: Despite the fact that many HIV-positive, methamphetamine-using MSM are able to achieve undetectable viral load in this sample, difficulties with ART adherence threaten to undermine the clinical and public health benefits of TasP. Expanded efforts to boost the effectiveness of TasP in this population should focus on meeting the unique needs of homeless individuals, optimizing ART adherence, and facilitating the integration of HIV care with substance use disorder treatment., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: Excess body weight has been reported to be associated with excessive school absenteeism (ESA), but less is known about the association with perceived body weight. The study objective was to weigh the relative influence of perceived and measured weight status on school attendance., Methods: We used the data from 3113 adolescents age 12-19 years who were interviewed as a part of the National Health and Nutrition Examination Surveys (NHANES), 2003-2008. Body weight and height were measured during the physical examination, while self-perceived body weight and the number of school days missed was assessed using questionnaires. Missing one or more days per school month (nine days per school year) was defined as, and indicative of, experiencing ESA., Results: ESA was reported from 12.31 (SE=0.89) % of adolescents. The highest prevalence occurred among healthy weight adolescents who erroneously self-perceived as overweight [21.6 (4.77) %], two times higher than adolescents with obesity who self-perceived as "just right weight" [10.3 (2.87) %]. The adjusted prevalence ratio (PR) of ESA for healthy weight adolescents who erroneously self-perceived as "overweight" was 1.91 (95%CI=1.10-3.32) compared to healthy weight peers who correctly self-perceived as "just right" (reference group). The PRs were 0.99 (0.48-2.06) and 1.41 (0.86-2.32) respectively for adolescents with obesity who believed that their body weight was "just right" or "overweight". No significant differences were observed between boys and girls, young (12-15 years) and older adolescents (16-19 years)., Conclusions: Perceived overweight rather than actual overweight is significantly associated ESA among adolescents., (Copyright © 2016 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.)

Purpose: To examine if there was spatial misclassification in exposure to neighborhood noise complaints among a sample of low-income housing residents in New York City, comparing home-based spatial buffers and Global Positioning System (GPS) daily path buffers., Methods: Data came from the community-based NYC Low-Income Housing, Neighborhoods and Health Study, where GPS tracking of the sample was conducted for a week (analytic n = 102). We created a GPS daily path buffer (a buffering zone drawn around GPS tracks) of 200 m and 400 m. We also used home-based buffers of 200 m and 400 m. Using these "neighborhoods" (or exposure areas), we calculated neighborhood exposure to noisy events from 311 complaints data (analytic n = 143,967). Friedman tests (to compare overall differences in neighborhood definitions) were applied., Results: There were differences in neighborhood noise complaints according to the selected neighborhood definitions (P < .05). For example, the mean neighborhood noise complaint count was 1196 per square kilometer for the 400-m home-based and 812 per square kilometer for the 400-m activity space buffer, illustrating how neighborhood definition influences the estimates of exposure to neighborhood noise complaints., Conclusions: These analyses suggest that, whenever appropriate, GPS neighborhood definitions can be used in spatial epidemiology research in spatially mobile populations to understand people's lived experience., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Purpose: Electronic cigarettes (e-cigarettes) are now the most popular tobacco product among youth. Little is known about the relationship between exposure to e-cigarette marketing at the point-of-sale and youth e-cigarette use., Methods: Research staff collected data on e-cigarette availability and promotion in tobacco retailers within a half-mile of 41 schools participating in the 2014 New Jersey Youth Tobacco Survey. These data were linked with participant responses from the New Jersey Youth Tobacco Survey (n = 3,909) and log-Poisson regression models estimated adjusted prevalence ratios for ever and past-month e-cigarette use., Results: Nearly a quarter of high school students in New Jersey have tried e-cigarettes (24.1%) and 12.1% were past-month users. Prevalence was highest among males, non-Hispanic whites, and students who have used other tobacco products. After controlling for covariates and the clustered nature of the data, e-cigarette retailer density around schools was positively associated with ever and past-month use of e-cigarettes (p < .05). E-cigarette advertising volume significantly increased the probability of being a past-month e-cigarette user (adjusted prevalence ratio: 1.03, p = .031)., Conclusions: This study suggests that the point-of-sale environment around schools may contribute to e-cigarette use among youth. Policy efforts to restrict tobacco promotion at the point-of-sale may play a role in reducing the use of e-cigarettes., (Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Background: This study used cross-sectional data to test the independent relationship of proximity to chain fast-food outlets and proximity to full-service supermarkets on the frequency of mealtime dining at fast-food outlets in two major urban areas, using three approaches to define access. Interactions between presence of a supermarket and presence of fast-food outlets as predictors of fast-food dining were also tested., Methods: Residential intersections for respondents in point-of-purchase and random-digit-dial telephone surveys of adults in Philadelphia, PA, and Baltimore, MD, were geocoded. The count of fast-food outlets and supermarkets within quarter-mile, half-mile, and 1-mile street network buffers around each respondent's intersection was calculated, as well as distance to the nearest fast-food outlet and supermarket. These variables were regressed on weekly fast-food dining frequency to determine whether proximity to fast food and supermarkets had independent and joint effects on fast-food dining., Results: The effect of access to supermarkets and chain fast-food outlets varied by study population. Among telephone survey respondents, supermarket access was the only significant predictor of fast-food dining frequency. Point-of-purchase respondents were generally unaffected by proximity to either supermarkets or fast-food outlets. However, ≥1 fast-food outlet within a 1-mile buffer was an independent predictor of consuming more fast-food meals among point-of-purchase respondents. At the quarter-mile distance, ≥1 supermarket was predictive of fewer fast-food meals., Conclusions: Supermarket access was associated with less fast-food dining among telephone respondents, whereas access to fast-food outlets were associated with more fast-food visits among survey respondents identified at point-of-purchase. This study adds to the existing literature on geographic determinants of fast-food dining behavior among urban adults in the general population and those who regularly consume fast food., (Copyright © 2016 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Introduction: Vape shops are opening across the USA, but little is known about the types of neighborhoods where they are located. This study explores community-level predictors of vape shop locations in New Jersey, USA., Methods: Vape shops were identified in July 2015 using a validated systematic online search protocol and geocoded using Google Earth Pro. Multivariable logistic regression identified demographic and other predictors of vape shop presence at the census tract level., Results: Tobacco outlet density was consistently associated with higher odds of vape shop presence after adjusting for covariates (p<0.05). However, factors traditionally associated with tobacco retail were negatively associated with vapor outlets. Census tracts with a higher proportion of non-Hispanic black residents had significantly lower odds of having a vape shop (β=-0.03, p<0.001)., Discussion: Vape shops are commonly located in census tracts where tobacco retail is high, but where fewer racial minorities live. The retail environment may communicate social norms regarding vaping and ultimately influence use behaviors of community residents., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Objective: To investigate whether past-30 day illicit drug use among sexual minority youth was more common in neighborhoods with a greater prevalence of hate crimes targeting lesbian, gay, bisexual, and transgender (LGBT, or sexual minority) individuals., Methods: We used a population-based survey of public school youth in Boston, Massachusetts, consisting of 1292 9th-12th grade students from the 2008 Boston Youth Survey Geospatial Dataset (sexual minority n=108). Data on LGBT hate crimes involving assaults or assaults and battery between 2005 and 2008 were obtained from the Boston Police Department and linked to youths' residential address. Youth reported past-30 day use of marijuana and other illicit drugs. Wilcoxon-Mann-Whitney tests and corresponding p-values were computed to assess differences in substance use by neighborhood-level LGBT assault hate crime rate among sexual minority youth (n=103)., Results: The LGBT assault hate crime rate in the neighborhoods of sexual minority youth who reported current marijuana use was 23.7 per 100,000, compared to 12.9 per 100,000 for sexual minority youth who reported no marijuana use (p=0.04). No associations between LGBT assault hate crimes and marijuana use among heterosexual youth (p>0.05) or between sexual minority marijuana use and overall neighborhood-level violent and property crimes (p>0.05) were detected, providing evidence for result specificity., Conclusions: We found a significantly greater prevalence of marijuana use among sexual minority youth in neighborhoods with a higher prevalence of LGBT assault hate crimes. These results suggest that neighborhood context (i.e., LGBT hate crimes) may contribute to sexual orientation disparities in marijuana use., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

This study evaluated spatial relationships between features of the built environment and youth depressive symptoms. Data used in this study came from the 2008 Boston Youth Survey Geospatial Dataset, which includes Boston high school students with complete residential information (n=1170). Features of the built environment (such as access to walking destinations and community design features) were created for 400- and 800-m street network buffers of the youths' residences. We computed standard Ordinary Least Squares (OLS) regression and spatial simultaneous autoregressive models. We found significant positive spatial autocorrelation in all of the built environment features at both spatial scales (all p=0.001), depressive symptoms (p=0.034) as well as in the OLS regression residuals (all p<0.001), and, therefore, fit spatial regression models. Findings from the spatial regression models indicate that the built environment can have depressogenic effects, which can vary by spatial scale, gender and race/ethnicity (though sometimes in unexpected directions, i.e. associations opposite to our expectations). While our results overall suggest that the built environment minimally influences youth depressive symptoms, additional research is needed, including to understand our results in the unexpected direction., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Murine erythroid precursor cells, stimulated to proliferate in vitro in the absence of added erythropoietin (EP) by the anemia strain of Friend virus (FVA), will subsequently respond to EP by complete erythrocyte differentiation. If not exposed to EP, the erythroid cells divide for about 120 hr in culture, and they maintain the potential for full differentiation in response to EP added at any time during the period from 72 to 120 hr. Between 96 and 120 hr of culture without added EP, the EP-sensitive erythroid precursor cells that have formed discrete erythroid bursts can be isolated in relatively large numbers from such cultures by plucking with a Pasteur pipette. The addition of EP initiates the final stages of erythroid differentiation, including heme synthesis in 70%-80% of these isolated cells. With respect to homogeneity of the precursor cells, quantity of EP-responsive cells obtainable, and uniformity of EP responsiveness, this system is uniquely favorable for biochemical studies of the late differentiation effects of EP. The overall changes in gene expression accompanying EP-induced terminal differentiation were examined by two-dimensional gel electrophoresis of proteins labeled for a short time with radioactive amino acids. Several new proteins are synthesized in these erythroid cells during terminal differentiation, but the number is a very small percentage of the total number of proteins being made. Thus, in this system, the effect of EP is to initiate expression of a small group of genes, including those for globins, spectrin, and other proteins involved in the final stages of erythroid differentiation.