York City Research Articles

Concentrations of Volatile Methyl Siloxanes in New York City Reflect Emissions from Personal Care and Industrial Use.

Volatile methyl siloxanes (VMS) are a group of organosilicon compounds of interest because of their potential health effects, their ability to form secondary organic aerosols, and their use as tracer compounds. VMS are emitted in the gas-phase from using consumer and personal care products, including deodorants, lotions, and hair conditioners. Because of this emission route, airborne concentrations are expected to increase with population density, although there are few studies in large urban centers. Here, we report summertime concentrations and daily variations of VMS congeners measured in New York City. Median concentrations of the 6 studied congeners, D3 (20 ng m-3), D4 (57 ng m-3), D5 (230 ng m-3), D6 (11 ng m-3), L5 (2.5 ng m-3), and L7 (1.3 ng m-3) are among the highest reported outdoor concentrations in the literature to date. Average congener ratios of D5:D4 and D5:D6 were consistent with previously reported emissions ratios, suggesting that concentrations were dominated by local emissions. Measured concentrations agree with previously published results from a Community Multiscale Air Quality model and support commonly accepted emissions rates for D4, D5, and D6 of 32.8, 135, and 6.1 mg per capita per day. Concentrations of D4, D5, D6, L5, and L7 and total VMS were significantly lower during the day than during the night, consistent with daytime oxidation reactivity. Concentrations of D3 did not show the same diurnal trend but exhibited a strong directional dependence, suggesting that it may be emitted by industrial point sources in the area rather than personal care product use. Concentrations of all congeners had large temporal variations but showed relatively weak relationships with wind speed, temperature, and mixing height.

¿Pa ‘rriba o pa ’bajo? Upward mobility, anti‐Blackness, and the independence question among Puerto Ricans in NYC: A decolonial psychoanalytic study

AbstractPuerto Rico is one of the world's oldest colonies, with thousands of its people dislocated to the United States (U.S.) mainland in the wake of Hurricane Maria and the ongoing economic crisis. However, since the 2019 protests ousting then governor Rosello, Puerto Ricans across the Diaspora are imagining new emancipatory realities, including the possibility of independence. This paper draws on data from the Colonial Mentality Study in New York City (CMS‐NYC, N = 19) to explore how Puerto Ricans in the Diaspora narrativize new political possibilities despite the challenges posed by post‐disaster migration and racial and economic inequality. Using a decolonial psychoanalytic approach, we show how two colonial logics—moving “up and out” of Puerto Rico and “up and in” American capitalism—are textured by discourses of racial inferiority and upward mobility, and illustrate how these are experienced by Puerto Ricans who identify as Multiracial (Multiracial‐Identified Puerto Rican, N = 11), and Puerto Ricans who identify as Black (BIPR, N = 8). Reading our findings in the sociogenic context of race, class, and colonialism in Puerto Rico, and race and class among Puerto Ricans in NYC, we explore how racism toward Puerto Ricans and racism among Puerto Ricans intersect with notions of upward mobility, revealing how anti‐Blackness supports economic inequality in the U.S. mainland alongside with Puerto Rico's colonial situation. Complementing decolonial psychoanalytic theory with the Afro‐Puerto Rican radical tradition, we outline the implications of this research for future scholarship, clinical practice, and political action.

Multi-objective optimization-driven machine learning for charging and V2G pattern for plug-in hybrid vehicles: Balancing battery aging and power management

This research study aims to optimize the economic energy management of a plug-in hybrid vehicle by maximizing revenue through vehicle-to-grid interactions during peak hours, while also prioritizing the reduction of battery aging as an additional objective. The study focuses on the Mitsubishi Outlander vehicle in New York City, analyzing charging and V2G times, rates, and ambient temperatures to understand their impact on lithium-ion battery aging. Using a machine learning approach, a deep neural network is trained with time, rate, and temperature inputs to improve accuracy in predicting battery aging effects. A multi-objective optimization algorithm, NSGA-II, is employed to balance the trade-off between maximizing revenue and minimizing battery aging based on the neural network's predictions. The results indicate that the best time for charging is before starting the travel, with a 3.95 % battery aging. Raising the charging amperage and implementing V2G elevate battery aging to 7.83 %. Furthermore, higher ambient temperatures can accelerate battery aging significantly. A temperature rise from 10 °C to 30 °C could potentially result in a 12.23 % increase in battery aging. Through optimum selection of charging and V2G time, rate, and temperature, the study suggests that an income of $1043 and a battery aging rate of 7.2 % can be achieved within one year.

Color Contrast: Racial and Ethnic Disparities in New York City Law Enforcement

Color Contrast: Racial and Ethnic Disparities in New York City Law Enforcement

Zoning initiatives, divide or unite? Anti-displacement struggles in Chinatown and the Lower East Side, New York City, 2002–2018

ABSTRACT Rezoning is an instrument used to unleash potential economic developments. Although anyone can apply for amendments to the zoning map and the zoning text in New York City (NYC), rezoning is a coalitional effort that reflects class dynamics. This paper examines zoning coalitional practices inside Manhattan’s East Village, Chinatown, and the Lower East Side (LES) between 2002 and 2018. Recent literature highlights the impacts of rezoning and real estate growth coalitions on displacement, but it overlooks their linkages. The paper combines urban planners’ analytics on racialized rezoning with urban regime theorists’ framework on coalition formation to grasp such linkages. It argues that zoning initiatives constitute major turning points in coalition formation and coalition disintegration inside ethno-racial enclaves. Zoning initiatives begin with city producers and ethno-racial elites forming a growth coalition. When the shift from coalition formation to coalition disintegration occurs, the shift alters the scope of actions in zoning initiatives. Strategic disintegration was a response to ongoing anti-displacement struggles. Subsequently, city producers launched zoning initiatives in atomizing sub-districts within Chinatown and the LES. The paper concludes that Chinatown and the LES are witnessing a new coalition formation and pro-longed attempts to undermine anti-displacement struggles.

Evaluation of urban flood adaptability based on the InVEST model and GIS: A case study of New York City, USA

Evaluation of urban flood adaptability based on the InVEST model and GIS: A case study of New York City, USA

The work of landlord technology: The fictions of frictionless property management

Landlord technology—or the systems used by landlords to control and regulate tenant lives, spaces, and data—frequently promises “frictionless” building management and residential experiences. Yet services such as “digital doormen” and virtual property management platforms often create more work for tenants, particularly regarding decreased accessibility for tenants of color whose faces are unrecognized by biased algorithms used to administer building access, and for renters who are unable to or who refuse to use new apps and web portals. There are also “digital butlers” that landlords deploy as a means of attracting and retaining wealthy residents, yet that end up creating increased and often gendered work for those laboring behind the curtains of automation. Even virtual property management tools rely upon outsourced labor and are rife with contradictions and hardships for renters and call center workers alike. With a proposition that new forms of material and affective labor are created by landlord technologies despite promises of frictionless living, this article focuses on the various struggles that workers and tenants face in using, maintaining, refusing, and, at times, organizing against property automation. Based upon collaborative research produced with Landlord Tech Watch, as well as ethnographic accounting of housing and labor struggles in New York City and Cluj, this article introduces friction as a critical analytic useful in assessing the uneven, gendered, and racialized labor formations that landlord technologies require and reproduce despite fictions of frictionless living.

Emergence and dissemination of SARS-CoV-2 XBB.1.5 in New York

Abstract The recombinant SARS-CoV-2 Omicron XBB.1.5 variant was first detected in New York City (NYC) and rapidly became the predominant variant in the area by early 2023. The increased occurrence of circulating variants within the SARS-CoV-2 XBB-sublineage prompted the modification of COVID-19 mRNA vaccines by Moderna and Pfizer-BioNTech. This update, implemented in mid-September 2023, involved the incorporation of a monovalent XBB.1.5 component. Considering that NYC probably played a central role in the emergence of the XBB.1.5 variant, we conducted phylogeographic analysis to investigate the emergence and spread of this variant in the metropolitan area. Our analysis confirms that XBB.1.5 emerged within or near the NYC area and indicates that XBB.1.5 had a diffusion velocity similar to that of the variant Alpha in the same study area. Additionally, the analysis of 2,392 genomes collected in the context of the genomic surveillance program at NYU Langone Health system (NYULH) showed that there was no increased proportion of XBB.1.5, relative to all cocirculating variants, in the boosted compared to unvaccinated individuals. This study provides a comprehensive description of the emergence and dissemination of XBB.1.5.

“The perfect storm”: community worker perspectives on the impact of COVID-19 on New York City immigrants and migrant-serving organizations

BackgroundImmigrants in New York City (NYC) have higher COVID-19 mortality than the general population. While migrant-serving organizations (MSOs) provide access to a breadth of services, they are disproportionately impacted by the COVID-19 pandemic due to staffing limitations, funding cuts, and resource limitations of communities served.MethodsSix focus-group discussions were conducted to explore the experiences of MSOs in NYC during the COVID-19 pandemic from November 2021 to March 2022. Study participants csomprised a subsample of survey respondents from a larger study identified via lists of MSOs.ResultsTwenty-seven organizational representatives from 11 MSOs across NYC participated in the discussions. In addition to providing information on communities served, services offered, and organizational characteristics, the following themes emerged from the convenings: mental health challenges and resources needed for immigrants; immigration-related challenges; factors exacerbating hardships for immigrants during COVID-19; interorganizational collaborations and partnerships; policy change; and needs/requests of MSOs. MSOs provide a wide range of services as non-profit organizations and use interorganizational collaboration to improve service delivery. The proximity of MSOs to immigrant communities helps providers understand the needs of immigrants relating to the COVID-19 pandemic and factors that shape telehealth services.ConclusionMSOs are important providers and advocates for immigration policy in the US given their relationship with the populations they serve. These findings have implications for how to support MSOs that serve immigrants in NYC. Strategies to achieve this include timelier availability and exchange of information, policies, and research as well as strengthening the experience-based advocacy of these groups.

Recent Trends in Opioid-Involved Overdose Deaths in New York City, 1999 to 2020

Recent Trends in Opioid-Involved Overdose Deaths in New York City, 1999 to 2020

BM-RCWTSG: An integrated matching framework for electric vehicle ride-hailing services under stochastic guidance

Electric vehicles (EVs) are playing an increasingly vital role in sustainable ride-hailing services, primarily due to their potential to reduce carbon emissions and enhance environmental well-being. A core service of ride-hailing platforms is to match riders with nearby drivers within a short time window. In this mandate, it is crucial to ensure a high matching rate and low rider waiting time since these are key indicators of customer satisfaction and the platform’s operational effectiveness. However, existing matching mechanisms in the literature failed to consider important aspects related to EVs, including the range limit, charging detour time, and charging waiting time. These factors can significantly affect the system matching rate, rider waiting time, and vehicle utilization rate. To address the new challenges of the increased adoption of EVs in ride-hailing services, we propose a data-driven stochastic optimization framework for EV ride-hailing matching. The proposed framework integrates two stochastic optimization models, namely the stochastic guidance (SG) model and the EV matching (EVM) model. The SG model optimizes EV relocation and improves the system matching rate by proactively guiding idle EVs to the designated regions based on probabilistic rider demand forecasting. The EVM model utilizes the relocated EVs and current rider demands to provide the optimal matching solution that minimizes the overall cost associated with rider waiting time, EV charging waiting time, and charging detours. We conduct experimental validation of this approach using two real-world data sets from New York City. Comparative results suggest that by utilizing the proposed framework, the matching rate can be increased up to 22.9%, and the rider and EV waiting times can be reduced up to 14.9% and 73.6%, respectively, compared to the benchmark models.

Who Really Represents Me? The Case of Afro-Latinx Bureaucratic Representation in New York City Public Schools

Who Really Represents Me? The Case of Afro-Latinx Bureaucratic Representation in New York City Public Schools

Ever English Learner 4-Year Graduation: Toward an Intersectional Approach

This brief analyzes 4-year graduation rates among students ever classified as English learners (ever-ELs) and those never classified as English learners (never-ELs) at the intersections of gender, race/ethnicity, and neighborhood income. We follow two cohorts of New York City students who entered ninth grade in 2013–2014 and 2014–2015 ( N = 127,931). We find substantial variations in 4-year graduation among these subgroups, with differential predicted probabilities depending on the student’s ever-EL status, race/ethnicity, and neighborhood income. These findings reveal important intersectional disparities in this diverse group of ELs—nuances that are lost when analyzing across a single social dimension and that push us to adopt an intersectional lens in quantitative research on ELs.

Clinical and Diagnostic Features of West Nile Virus Neuroinvasive Disease in New York City

West Nile virus (WNV) neuroinvasive disease (WNND) occurs in approximately 1 percent of WNV-infected patients and typically presents as encephalitis, meningitis, or acute flaccid paralysis (AFP). WNND remains a difficult inpatient diagnosis, creating significant challenges for prognostication and therapy selection. We characterized the clinical and diagnostic features of WNND cases at two major academic medical centers in New York City in routine clinical practice. We retrospectively reviewed the charts of thirty-six patients with WNND, including twenty-six encephalitis, four meningitis, and six AFP cases. The most common presenting symptoms were fever (86.1%) and gastrointestinal symptoms (38.9%) in addition to altered mental status (72.2%), lethargy (63.9%), gait disturbances (46.2%), and headache (44.4%). Fourteen (48.3%) patients displayed acute magnetic resonance imaging (MRI) findings, particularly T2 hyperintensities in the bilateral thalami, brainstem, and deep white matter. New York State Department of Health WNV CSF IgM testing was utilized for diagnosis in 58.3% of patients; however, just 38.1% had the result by discharge, compared to 85.6% of those who underwent serum IgM testing. The median length of stay was 13.5 days, 38.9% were intubated, and three patients (8.9%) died during acute hospitalization. Our findings underscore the morbidity, mortality, and diagnostic challenges of WNND, suggesting the potential utility of serum IgM testing in combination with confirmatory CSF testing to expedite diagnosis in the acute setting.

Formal and informal dimensions of housing allocation: housing actors and gatekeepers of low-income migrants’ access to housing in the Bronx, New York City

AbstractIt is recognised that migrants’ access to housing in destination cities is shaped by a number of factors. This paper takes as its focus the processes of housing allocation for low-income West African migrants in the Bronx, New York City. Drawing on 37 semi-structured interviews with housing providers and intermediary organisations that perform housing-related functions, the paper builds upon literature on migration industries and informal housing solutions among migrant communities, and reveals the formal and informal systems which migrants must navigate in order to secure housing. The specific roles which housing providers and intermediary organisations – including housing advocacies NGOs, public institutions, and religious groups – play are highlighted. The paper shows that informal processes operating in the low-income housing market in the Bronx mirror the operations of formal institutional structures, but instead of financial and legal grounds for housing allocation, informal migration industries are centred on social ties within the established migrant community. Such arrangements provide much-needed access to affordable housing for low-income tenants and facilitate further migration.

Coming Up…

The annual meeting of the American Psychiatric Association will be held May 4‐8 in New York City. For more information, go to https://www.psychiatry.org/psychiatrists/meetings/annual‐meeting

Abstract PO1-10-04: Racial and Ethnic Disparities in Anthracycline and HER2-targeted Cardiotoxicity in Patients With Breast Cancer Using Global Longitudinal Strain Imaging Techniques

Abstract Purpose: Studies of global longitudinal strain (GLS) as a predictor of cancer treatment-related cardiac dysfunction (CTRCD) have been limited in racial/ethnic minority populations who are more likely to have risk factors associated with CTRCD. Our aim was to assess the utilization of GLS and development of CTRCD in a racially and ethnically diverse population of patients at an academic center in New York City. Methods: Patients were included if they had a breast cancer diagnosis and began treatment with anthracycline or HER2-directed therapies at Columbia University Irving Medical Center (CUIMC) from February 1, 2020-July 31, 2022. All patients and variables were identified via the electronic health record. Cardiovascular comorbidities including obesity, hypertension, diabetes, hyperlipidemia, coronary artery disease, congestive heart failure, and other cardiac disease, were recorded. Receipt of transthoracic echocardiogram(s) (TTE) with/without GLS were recorded, along with GLS and left ventricular ejection fraction (LVEF) values. CTRCD was defined as LVEF decrease of ≥10% to a LVEF value < 53% or GLS decrease of ≥ 15% from baseline or GLS < -18%. Analyses included descriptive statistics and univariable and multivariable logistic regression models to evaluate predictors of CTRCD by either LVEF or GLS definition. Results: We identified 270 eligible patients. Mean age was 51.8 years (standard deviation 13.0), 85 (31.5%) identified as White, 47 (17.4%) as Black/African, and 16 (5.9%) as Asian; 135 (50.0%) identified as Non-Hispanic/Latino, and 79 (29.2%) as Hispanic/Latino. Approximately half of the patient cohort, n=137 (50.7%) had a TTE with GLS during the study period. Of the TTEs done at CUIMC (n=658), 270 (41%) were ordered with GLS assessment, of which 184 (68%) reported a GLS value and 86 (32%) were not assessable due to image quality. Forty-three (16%) patients developed CTRCD: 20 (7%) by GLS criteria, 13 (5%) by LVEF criteria, and 10 (4%) by both GLS and LVEF criteria. In univariable analyses, race (OR 5.78, 95%CI 1.62-20.4 Asian compared to White), treatment with HER2 therapy without anthracycline versus anthracycline (OR 2.78, 95%CI 1.34-6.23), and prescription for cardiac medication prior to systemic therapy (OR 2.27, 95%CI 1.08-4.63) were predictors of CTRCD by any definition. In multivariable analysis, race (OR 7.86, 95%CI 1.71-38.50 Asian compared to White), and receipt of HER2 therapy without anthracycline compared to anthracycline (OR 5.13, 95%CI 1.42-25.00) were predictors of CTRCD. In multivariable analysis of CTRCD by GLS criteria only, race (OR 78.47, 95%CI 1.47-53.96 Asian compared to White), and treatment (OR 11.23, 95%CI 1.85-219 HER2 therapy compared to anthracycline; OR 58.7, 95%CI 1.05-60.59 HER2 therapy and anthracycline compared to anthracycline). Conclusions: In this retrospective analysis of a racially and ethnically diverse patient population, more than a third of Asian patients developed CTRCD, although the study is limited by small sample sizes. Asian race and receipt of anti-HER2 therapy were independent risk factors for CTRCD. Asian race was especially a predictor of CTRCD by GLS definition. Detection bias may explain the differences in CTRCD by drug class, as patients complete serial TTEs while receiving HER2-directed therapy, while patients who receive an anthracycline without HER2-directed therapy typically only receive a baseline TTE. Future research to better characterize racial differences in CTRCD incidence and develop interventions to reduce this disparity is an area warranting further investigation. Demographic and Tumor Related Factors Associated with CTRCD (n=270) Univariable and multivariable analysis of CTRCD by LVEF or GLS definition. Multivariable analysis was adjusted for all variables listed. Citation Format: Amanda Wang, Jayant Raikhelkar, Rohit Raghunathan, Julia McGuinness, Neil Vasan, Meghna Trivedi, Kevin Kalinsky, Katherine Crew, Melissa Beauchemin, Jason Wright, Dawn Hershman, Melissa Accordino. Racial and Ethnic Disparities in Anthracycline and HER2-targeted Cardiotoxicity in Patients With Breast Cancer Using Global Longitudinal Strain Imaging Techniques [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-10-04.

Patterns and Factors Associated With Alcohol Misuse Among Young Black Men Who Have Sex With Men in New York City.

Alcohol misuse is a significant health concern among gay, bisexual, same-gender-loving, and other men who have sex with men (MSM). Yet, little is known about the severity and predictors of alcohol misuse among self-reported young Black MSM. This study aimed to identify patterns of and factors associated with alcohol misuse in a sample of young Black MSM living in New York City. Baseline data from a randomized controlled trial aimed at improving the uptake of HIV testing among 250 MSM aged 18 to 29 were analyzed. Log-binominal regression analyses were conducted to assess the association of demographic and psychosocial factors with alcohol misuse in the past year and past 3 months among young Black MSM. Overall, 33.2% and 28.0% of young Black MSM in the study experienced alcohol misuse in the past year and past 3 months, respectively. In the adjusted model, factors positively associated with past-year alcohol misuse included marijuana use, a history of drug use, and having one-two or more than two male sex partners. Likewise, participants who used marijuana and those with one-two or more than two male partners were more likely to report past 3-month alcohol misuse. No significant association was found between positive screening for depressive symptoms, chemsex, internalized homophobia, and the likelihood of having alcohol misuse. The high prevalence of alcohol misuse underscores the importance of raising awareness of alcohol misuse and designing alcohol risk reduction programs that jointly address HIV risk among young Black MSM.

Investigation on the joint travel behavior in bike sharing systems during the COVID-19 pandemic: Insights from New York City

As the COVID-19 pandemic worsened, many people saw bikes as one of the safest means of transportation in the hard-hit cities. All the bike sharing utilization patterns during the pandemic are worthy of careful attention. However, there is still a lack of comprehensive understanding of niche but notable cycling behaviors, such as multi-person round trip (MPRT), defined as two or more cyclists intentionally riding together then returning bikes to the original docking station. This study extends the relevant literature by firstly proposing a MPRT identification framework based on individual bike sharing trip records, with consideration of interpersonal relationships between co-travelers, as well as the specificity of round trips against one-way trips. Taking New York City as a case study, this study examines the changes over space and time of MPRT frequencies from 2019 (i.e. pre-pandemic period) to 2020 (i.e. pandemic period), and the reasons for it. Notably, special consideration of the aforementioned analysis is paid to the influence of the real-time situation of COVID-19 in terms of cases, deaths, hospitalizations, and tests. Results reveal that (1) the MPRT frequencies obey a long tail distribution, both prior to and during the COVID-19 outbreak; (2) the group size, temporal patterns and co-traveler community are profoundly affected by the COVID-19 outbreak; (3) four indicators related to COVID-19 show different influences on co-travelers over time; (4) bike sharing availability and personal economic situation are closely related with MPRT frequencies. These findings can help develop more targeted strategies for improving the operation of a bike sharing system to meet the possible diversified demands of cyclists during the future pandemics.

Natural Language Processing to Identify Home Health Care Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates

ObjectivesHome health care patients who are at risk for becoming Incapacitated with No Evident Advance Directives or Surrogates (INEADS) may benefit from timely intervention to assist them with advance care planning. This study aimed to develop natural language processing algorithms for identifying home care patients who do not have advance directives, family members, or close social contacts who can serve as surrogate decision-makers in the event that they lose decisional capacity. DesignCross-sectional study of electronic health records. Setting and ParticipantsPatients receiving post-acute care discharge services from a large home health agency in New York City in 2019 (n = 45,390 enrollment episodes). MethodsWe developed a natural language processing algorithm for identifying information documented in free-text clinical notes (n = 1,429,030 notes) related to 4 categories: evidence of close relationships, evidence of advance directives, evidence suggesting lack of close relationships, and evidence suggesting lack of advance directives. We validated the algorithm against Gold Standard clinician review for 50 patients (n = 314 notes) to calculate precision, recall, and F-score. ResultsAlgorithm performance for identifying text related to the 4 categories was excellent (average F-score = 0.91), with the best results for “evidence of close relationships” (F-score = 0.99) and the worst results for “evidence of advance directives” (F-score = 0.86). The algorithm identified 22% of all clinical notes (313,290 of 1,429,030) as having text related to 1 or more categories. More than 98% of enrollment episodes (48,164 of 49,141) included at least 1 clinical note containing text related to 1 or more categories. Conclusions and ImplicationsThis study establishes the feasibility of creating an automated screening algorithm to aid home health care agencies with identifying patients at risk of becoming INEADS. This screening algorithm can be applied as part of a multipronged approach to facilitate clinician support for advance care planning with patients at risk of becoming INEADS.