UNASSIGNED: To survey community-based migrant-serving organizations (MSOs) in New York City (NYC) regarding their early experiences during the COVID-19 pandemic and perspectives on academic collaborations.
UNASSIGNED: We developed and emailed a survey via Qualtrics (12/2020-1/2021) to 122 MSOs in NYC collecting data about the organizations; challenges posed by COVID-19; and interest in potential intersectoral collaboration. Descriptive analysis focused on the pandemic\'s impact on service provision, type of MSO, and organizational capacity.
UNASSIGNED: Thirty-eight MSOs participated (RR=31%). COVID-19-related challenges included limited staff capacity, organizational funding, and technological and resource limitations of communities served. Organizational capacity correlated with types of services offered: smaller organizations offered health and social services, while larger organizations focused on education and employment. MSOs indicated interest in collaboration on migrant policy advocacy and communications, access to interns, and resources regarding best practices and policies.
UNASSIGNED: MSOs in NYC have struggled with funding, staffing, and service provision. They specified fruitful areas for collaboration with academic research institutions.
UNASSIGNED: Development of an academic-based migrant health resource hub will serve an identified need among MSOs in NYC.

BACKGROUND: Particulate matter exposure (PM) is a cause of aerodigestive disease globally. The destruction of the World Trade Center (WTC) exposed first responders and inhabitants of New York City to WTC-PM and caused obstructive airways disease (OAD), gastroesophageal reflux disease (GERD) and Barrett\'s Esophagus (BE). GERD not only diminishes health-related quality of life but also gives rise to complications that extend beyond the scope of BE. GERD can incite or exacerbate allergies, sinusitis, bronchitis, and asthma. Disease features of the aerodigestive axis can overlap, often necessitating more invasive diagnostic testing and treatment modalities. This presents a need to develop novel non-invasive biomarkers of GERD, BE, airway hyperreactivity (AHR), treatment efficacy, and severity of symptoms.
METHODS: Our observational case-cohort study will leverage the longitudinally phenotyped Fire Department of New York (FDNY)-WTC exposed cohort to identify Biomarkers of Airway Disease, Barrett\'s and Underdiagnosed Reflux Noninvasively (BAD-BURN). Our study population consists of n = 4,192 individuals from which we have randomly selected a sub-cohort control group (n = 837). We will then recruit subgroups of i. AHR only ii. GERD only iii. BE iv. GERD/BE and AHR overlap or v. No GERD or AHR, from the sub-cohort control group. We will then phenotype and examine non-invasive biomarkers of these subgroups to identify under-diagnosis and/or treatment efficacy. The findings may further contribute to the development of future biologically plausible therapies, ultimately enhance patient care and quality of life.
CONCLUSIONS: Although many studies have suggested interdependence between airway and digestive diseases, the causative factors and specific mechanisms remain unclear. The detection of the disease is further complicated by the invasiveness of conventional GERD diagnosis procedures and the limited availability of disease-specific biomarkers. The management of reflux is important, as it directly increases risk of cancer and negatively impacts quality of life. Therefore, it is vital to develop novel noninvasive disease markers that can effectively phenotype, facilitate early diagnosis of premalignant disease and identify potential therapeutic targets to improve patient care.
BACKGROUND: Name of Primary Registry: \"Biomarkers of Airway Disease, Barrett\'s and Underdiagnosed Reflux Noninvasively (BADBURN)\". Trial Identifying Number: NCT05216133 . Date of Registration: January 31, 2022.

The New York City (NYC) subway system accommodates 5.5 million daily commuters, and the environment within the subway is known to have high concentrations of fine particulate matter (PM2.5) pollution. Naturally, subway air pollution varies among individuals according to their mobility patterns, introducing the possibility of inequality in PM2.5 exposure. This study aims to evaluate individual and community-level exposure to subway PM2.5. We simulated the intracity home-to-work trip patterns using the Longitudinal Employer-Household Dynamics (LEHD) records of 3.1 million working commuters across 34,169 census blocks in four boroughs (Manhattan, Brooklyn, Queens, and the Bronx) of NYC. We incorporated the on-platform and on-train measured PM2.5 concentration data for the entire subway system. The mean underground platform concentration in the city was 139 μg/m3 with a standard deviation of 25 μg/m3, while the on-train concentration when underground was 99 μg/m3 with a standard deviation of 21 μg/m3. Using a network model, we determined the exposure of individual commuters during their daily home-work trips. We quantified the mean per capita exposure at the census block level by considering the proportion of workers within the blocks who rely on the subway for their work commute. Results indicate statistically significant weak positive correlation between elevated subway PM2.5 exposure and economically disadvantaged and racial minority groups.

We characterized comorbidity profiles and cardiometabolic risk factors among older adults with multiple chronic conditions (MCCs) in New York City using an intersectionality approach. Electronic health record data were obtained from the INSIGHT Clinical Research Network on 367,901 New York City residents aged 50 years or older with MCCs. Comorbidity profiles were heterogeneous. The most common profile across sex and racial and ethnic groups was co-occurring hypertension and hyperlipidemia; prevalence of these 2 conditions differed across groups (4.7%-7.3% co-occurrence alone, 65.1%-88.0% with other conditions). Significant sex and racial and ethnic differences were observed, which may reflect accumulated disparities in risk factors and health care access across the life course.

Even low levels of lead in children\'s blood are associated with developmental delays, difficulty learning, and behavioral issues. Adults are also vulnerable to the detrimental health effects of lead exposure. The New York City (NYC) Department of Health and Mental Hygiene receives blood lead test results for NYC residents and conducts investigations of lead poisoning cases. Blood lead testing of a child aged 4 years in 2012 led to the discovery of blood lead levels above the CDC blood lead reference value of 3.5 μg/dL in the child as well as four other family members over a period of 11 years, including the child\'s mother and three younger siblings born during 2012-2016. The only potential source of lead exposure identified for all cases was the use of surma, a traditional eye cosmetic, which was found to contain 390,000 ppm lead. The cases in this report highlight the challenges of risk communication when deeply ingrained cultural practices, such as the use of surma, persist despite health warnings. Moreover, they highlight the intergenerational nature of such practices and the need for comprehensive family follow-up once a member is identified as being at risk. These products continue to be available globally, even in places such as the United States where sales are prohibited. Multistakeholder efforts involving local and global engagement could promote reformulation of these products at the countries of origin to eliminate lead as an ingredient.

The Latinx (Hispanic) social construct obscures differences in the overdose risk levels of groups within this category. When national data are disaggregated, stateside Puerto Rican mortality increases exponentially, so much that this community has the highest rates of overdose deaths across years. Developed by Bronx-based Puerto Ricans, Narcanazo is an empowered upstander campaign that uses local overdose data to mobilize community members as trained naloxone dispensers. This health promotion campaign was grounded in antiracist epidemiological analysis. (Am J Public Health. 2024;114(S6):S463-S466. https://doi.org/10.2105/AJPH.2024.307605) [Formula: see text].

Homelessness, affecting over half a million Americans, significantly elevates the risks of mental and physical health issues, consequently diminishing life expectancy when compared with the general population. Homelessness is a critical public health issue, and efforts are needed to address lack of housing as a social determinant of health. Transitional housing (TH) programs emerge as vital interventions, offering a place to stay with various support services to facilitate the transition to permanent residency. Nearly half of the unhoused population in the country and over 90% in New York live in TH or shelters. Despite the high utilization rates of TH, engagement with support services and opportunities for improvement remain poorly understood. This study aimed to fill this gap by examining the factors influencing support service usage and opportunities for enhancement through semi-structured interviews with TH residents in New York City to capture their lived experiences and perspectives. Analysis of the interviews (n = 20) revealed five main factors affecting service engagement that aligned with constructs of the socioecological model: intrapersonal (self-efficacy, chronic health conditions, mental health), interpersonal (parenthood and well-being of children with special needs, individual staff interactions, and communication), institutional (bureaucratic challenges, administrative burden, and living facilities), community (social isolation and educational opportunity), and policy (challenge meeting basic needs and undocumented status). Recommendations for bridging service gaps primarily arose at the institutional and community levels, offering critical insights for administrators to tailor services more effectively to TH residents\' needs, thus contributing to the broader goal of advancing health equity among the unhoused.

BACKGROUND: Recent studies have demonstrated that individuals hospitalized due to COVID-19 can be affected by \"long-COVID\" symptoms for as long as one year after discharge.
OBJECTIVE: Our study objective is to identify data-driven clusters of patients using a novel, unsupervised machine learning technique.
METHODS: The study uses data from 437 patients hospitalized in New York City between March 3rd and May 15th of 2020. The data used was abstracted from medical records and collected from a follow-up survey for up to one-year post-hospitalization. Hospitalization data included demographics, comorbidities, and in-hospital complications. The survey collected long-COVID symptoms, and information on general health, social isolation, and loneliness. To perform the analysis, we created a graph by projecting the data onto eight principal components (PCs) and running the K-nearest neighbors algorithm. We then used Louvain\'s algorithm to partition this graph into non-overlapping clusters.
RESULTS: The cluster analysis produced four clusters with distinct health and social connectivity patterns. The first cluster (n = 141) consisted of patients with both long-COVID neurological symptoms (74%) and social isolation/loneliness. The second cluster (n = 137) consisted of healthy patients who were also more socially connected and not lonely. The third cluster (n = 96) contained patients with neurological symptoms who were socially connected but lonely, and the fourth cluster (n = 63) consisted entirely of patients who had traumatic COVID hospitalization, were intubated, suffered symptoms, but were socially connected and experienced recovery.
CONCLUSIONS: The cluster analysis identified social isolation and loneliness as important features associated with long-COVID symptoms and recovery after hospitalization. It also confirms that social isolation and loneliness, though connected, are not necessarily the same. Physicians need to be aware of how social characteristics relate to long-COVID and patient\'s ability to cope with the resulting symptoms.

As cities strive for ambitious increases in tree canopy cover and reductions in anthropogenic volatile organic compound (AVOC) emissions, accurate assessments of the impacts of biogenic VOCs (BVOCs) on air quality become more important. In this study, we aim to quantify the impact of future urban greening on ozone production. BVOC emissions in dense urban areas are often coarsely represented in regional models. We set up a high-resolution (30 m) MEGAN (The Model of Emissions of Gases and Aerosols from Nature version 3.2) to estimate summertime biogenic isoprene emissions in the New York City metro area (NYC-MEGAN). Coupling an observation-constrained box model with NYC-MEGAN isoprene emissions successfully reproduced the observed isoprene concentrations in the city core. We then estimated future isoprene emissions from likely urban greening scenarios and evaluated the potential impact on future ozone production. NYC-MEGAN predicts up to twice as much isoprene emissions in NYC as the coarse-resolution (1.33 km) Biogenic Emission Inventory System version 3.61 (BEIS) on hot summer days. We find that BVOCs drive ozone production on hot summer days, even in the city core, despite large AVOC emissions. If high isoprene emitting species (e.g., oak trees) are planted, future isoprene emissions could increase by 1.4-2.2 times in the city core, which would result in 8-19 ppbv increases in peak ozone on ozone exceedance days with current NOx concentrations. We recommend planting non- or low-isoprene emitting trees in cities with high NOx concentrations to avoid an increase in the frequency and severity of future ozone exceedance events.

BACKGROUND: In the U.S. there are significant racial and gender disparities in the uptake of pre-exposure prophylaxis (PrEP). Black Americans represented 14% of PrEP users in 2022, but accounted for 42% of new HIV diagnoses in 2021 and in the South, Black people represented 48% of new HIV diagnoses in 2021 but only 21% of PrEP users in 2022. Women who use drugs may be even less likely than women who do not use drugs have initiated PrEP. Moreover, women involved in community supervision programs (CSP) are less likely to initiate or use PrEP, More PrEP interventions that focus on Black women with recent history of drug use in CSPs are needed to reduce inequities in PrEP uptake.
METHODS: We conducted a secondary analysis from a randomized clinical trial with a sub-sample (n = 336) of the total (N = 352) participants from the parent study (E-WORTH), who tested HIV negative at baseline were considered PrEP-eligible. Black women were recruited from CSPs in New York City (NYC), with recent substance use. Participants were randomized to either E-WORTH (n = 172) an HIV testing plus, receive a 5-session, culturally-tailored, group-based HIV prevention intervention, versus an HIV testing control group (n = 180). The 5 sessions included an introduction to PrEP and access. This paper reports outcomes on improved awareness of PrEP, willingness to use PrEP, and PrEP uptake over the 12-month follow-up period. HIV outcomes are reported in a previous paper.
RESULTS: Compared to control participants, participants in this study assigned to E-WORTH had significantly greater odds of being aware of PrEP as a biomedical HIV prevention strategy (OR = 3.25, 95% CI = 1.64-6.46, p = 0.001), and indicated a greater willingness to use PrEP as an HIV prevention method (b = 0.19, 95% CI = 0.06-0.32, p = 0.004) over the entire 12-month follow-up period.
CONCLUSIONS: These findings underscore the effectiveness of a culturally-tailored intervention for Black women in CSP settings in increasing awareness, and intention to initiate PrEP. Low uptake of PrEP in both arms highlight the need for providing more robust PrEP-on-demand strategies that are integrated into other services such as substance abuse treatment.
BACKGROUND: ClinicalTrials.gov Identifier: NCT02391233 .