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In statistical process control, accurately estimating in-control (IC) parameters is crucial for effective monitoring. This typically requires a Phase I analysis to obtain estimates before monitoring commences. The traditional "fixed" estimate (FE) approach uses these estimates exclusively, while the "adaptive" estimate (AE) approach updates the estimates with each new observation. Such extreme criteria reflect the traditional bias-variance tradeoff in the framework of the sequential parameter learning schemes. This paper proposes an intermediate update rule that generalizes two ad hoc criteria for monitoring univariate Gaussian data, by giving a lower probability to parameter updates when an out-of-control (OC) situation is likely, therefore updating more frequently when there is no evidence of an OC scenario. The simulation study shows that this approach improves the detection power for small and early shifts, which are commonly regarded as a weakness of control charts based on fully online adaptive estimation. The paper also shows that the proposed method performs similarly to the fully adaptive procedure for larger or later shifts. The proposed method is illustrated by monitoring the sudden increase in ICU counts during the 2020 COVID outbreak in New York. [ABSTRACT FROM AUTHOR]

The global COVID-19 pandemic had an unprecedented impact on transportation worldwide. Significant decreases in transportation across all modes were evident and sustained as governments worldwide implemented various countrywide closures and quarantine restrictions to slow the spread of the virus. This paper quantifies and assesses daily vehicle counts by Federal Highway Administration (FHWA) vehicle classifications during the COVID-19 pandemic in New York and Florida throughout 2020. The study found that duringMarch and April of 2020, traffic among all investigated FHWA categories was significantly reduced in both Florida and New York. However, commodity carriers in both states were able to recover faster and remained more consistent than passenger vehicles. This pattern was also observed in both urban and rural communities in Florida. The findings of this work demonstrate how commodity carrier movements, assessed through FHWA vehicle category counts, were less impacted by the governmental restrictions during the pandemic than passenger transportation. While overall traffic volume dropped by more than half in most places at the height of the pandemic, larger commodity-carrying vehicles remained nearly unchanged from the prior year by June of 2020. This was likely because of the critical need to maintain trucking movements to sustain populations. Understanding how truck traffic and freight movements more broadly were impacted during the COVID-19 pandemic is critical in preserving the continuity of service and preventing supply shortages in the event of future outbreaks. [ABSTRACT FROM AUTHOR]

Worldwide, the recent SARS-CoV-2 virus disease outbreak has infected more than 691,000,000 people and killed more than 6,900,000. Surprisingly, Sub-Saharan Africa has suffered the least from the SARS-CoV-2 pandemic. Factors that are inherent to developing countries and that contrast with their counterparts in developed countries have been associated with these disease burden differences. In this paper, we developed data-driven COVID-19 mathematical models of two 'extreme': Cameroon, a developing country, and New York State (NYS) located in a developed country. We then identified critical parameters that could be used to explain the lower-than-expected COVID-19 disease burden in Cameroon versus NYS and to help mitigate future major disease outbreaks. Through the introduction of a 'disease burden' function, we found that COVID-19 could have been much more severe in Cameroon than in NYS if the vaccination rate had remained very low in Cameroon and the pandemic had not ended. [ABSTRACT FROM AUTHOR]

The work aims to analyze and compare the development of the legal solutions for the eviction crisis that were introduced during the COVID-19 pandemic in the New York State by each branch of the authorities. The issue will be studied by analyzing documents introduced by the legislature, executive branch and judiciary, dealing with the prohibition of evicting tenants from residential and commercial premises during the COVID-19 pandemic. The paper will analyze short-term solutions in the form of ordinances, as well as long-term solutions in the form of laws. Furthermore, it will try to demonstrate the minor contradictions, problems, and complexities involved with the bifurcation of the introduced legal solutions, and to show that eviction moratoria in the New York State did not provide total protection and assistance to tenants, as well as that their solutions were rather short-term. The paper will also present solutions from the federal level and compare them to state solutions in order to show the difference in approach. The article will also demonstrate that acting at the state and local level, on a smaller scale, is more effective because it is easier to reach a specific group of stakeholders. Moreover, a change in the nature of legal solutions introduced at the state level will be observed, which was caused by the change of a governor general of the New York State and the Supreme Court's ruling that one of the laws was illegal -- the paper will show how this ban was circumvented by the new state authorities. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to highlight how a group of novice principals in Connecticut and New York used relational, dispositional and situational factors to respond to the COVID-19 pandemic crisis. The study aims to support new principals and educational leaders. Design/methodology/approach: Using Mutch's (2015) dispositional, relational and situational framework to guide the inquiry, this paper uses qualitative methods and interviewing in particular to explore the questions of interest. Six novice principals were each interviewed over the 2020–2021 school year, each interview lasting approximately forty-five minutes. Data were analyzed thematically using both deductive coding techniques and cross comparative analysis. Findings: Findings show that novice principals tended to rely on dispositional factors to respond to the crisis. Additionally, novice principals reported limited responses to the situational factors of the crisis due to restricted access and guidance from the district leadership. Research limitations/implications: Due to the small sample size and methodological approach, it may be inappropriate to generalize the findings across all novice principals in all settings. Further research in additional settings and larger samples are encouraged to support the proposed findings. Practical implications: This paper has several implications for districts and leadership preparation programs. Among these is the need for leadership preparation programs to adjust their curricula to train new principals properly. Originality/value: This work fills a gap in the research regarding how new principals respond to a crisis. It also provides insights into practice and possible means to enhance the growing population of new principals entering the educational leadership workforce. [ABSTRACT FROM AUTHOR]

In Spring 2020, the New York Army and Air National Guard (NYNG) rapidly deployed to New York City (NYC) to assist in the recovery, processing, and transport of COVID-19 decedents. This study reports on a survey conducted by NYNG service members three to six months post-mission (n = 177). Data showed that there was a dose–response relationship between mission stress exposure and decremented mental health, but certain activities were associated with better mental health outcomes. The paper also reviews resources provided by behavioral health personnel to support service members during the mission and lessons learned to inform future decedent recovery missions. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to evaluate socioeconomic factors related to COVID-19 mortality rates in New York City (NYC) to understand the connections between socioeconomic variables, including race and income and the disease. Design/methodology/approach: Using multivariable negative binomial regression, the association between health and mortality disparities related to COVID-19 and socioeconomic conditions is evaluated. The authors obtained ZIP code-level data from the NYC Department of Health and Mental Hygiene and the US Census Bureau. Findings: This study concludes that the mortality rate rises in areas with a higher proportion of Hispanic and Black residents, whereas areas with higher income rates had lower mortality associated with COVID-19, among over 18,000 confirmed deaths in NYC. Originality/value: The paper highlights the impacts of social, racial and wealth disparities in mortality rates. It brings to focus the importance of targeted policies regarding these disparities to alleviate health inequality among marginalized communities and to reduce disease mortality. [ABSTRACT FROM AUTHOR]

This paper investigates a taken-for-granted institutional form, shelters for unhoused New Yorkers, through the neo-institutional lens of institutional inertia and critical case study methodology. It focuses on the external shock of COVID-19, NYC's use of unoccupied hotels for social distancing, and the return to shelters when COVID waned. For guidance, we examine other instances of interrupted institutional inertia following shocks. Using Lewin's force field analysis, we explore why changes to some institutional forms amidst COVID persisted while novel approaches to shelter dissipated. We conclude that directly involving unhoused people in the design and implementation of homeless services may improve outcomes. Human service professionals share a body of knowledge and assumptions – a kind of echo chamber that amplifies and confirms beliefs. It is important to look beyond traditional and familiar models of service delivery to find alternative ideas and approaches that may be effective. Returning to Kurt Lewin's concept of force fields provides opportunities to think effectively and holistically about how to modify or change services, policies, and organizations. People served by human services – those with lived experiences – possess unique expertise that can inform organizational decisions and planning in new and helpful ways. As practitioners, we need to find ways to be more inclusive of the perspectives and ideas of those our programs serve through participatory methods of planning, decision making, and evaluation. [ABSTRACT FROM AUTHOR]

The dynamics of human mobility have been known to play a critical role in the spread of infectious diseases like COVID-19. In this paper, we present a simple compact way to model the transmission of infectious disease through transportation networks using widely available aggregate mobility data in the form of a zone-level origin-destination (OD) travel flow matrix. A key feature of our model is that it not only captures the propagation of infection via direct connections between zones (first-order effects) as in most existing studies but also transmission effects that are due to subsequent interactions in the remainder of the system (higher-order effects). We demonstrate the importance of capturing higher-order effects in a simulation study. We then apply our model to study the first wave of COVID-19 infections in (i) Italy, and, (ii) the New York Tri-State area. We use daily data on mobility between Italian provinces (province-level OD data) and between Tri-State Area counties (county-level OD data), and daily reported caseloads at the same geographical levels. Our empirical results indicate substantial predictive power, particularly during the early stages of the outbreak. Our model forecasts at least 85% of the spatial variation in observed weekly COVID-19 cases. Most importantly, our model delivers crucial metrics to identify target areas for intervention. [ABSTRACT FROM AUTHOR]

COVID‐19 has led to procedural changes in vascular access services to protect healthcare workers and patients from further spread of the virus. Operational changes made by the vascular access service at a healthcare system in New York City during the first wave of the COVID‐19 (SARS‐CoV‐2) pandemic included a team‐based approach as well as consideration for types of lines placed to address the increase in patient volume while providing safety to healthcare workers and conserving personal protective equipment. The study consists of two samples of adult inpatients admitted to Mount Sinai Hospital in New York City in need of vascular access. Chi‐square tests of independence were used to analyze trends in data. By the fourth wave, usage of shorter lifespan ultrasound‐guided peripheral intravenous lines increased significantly and the use of longer lasting intravenous catheters decreased significantly between the first and fourth waves of COVID‐19. This paper aims to show that with greater knowledge about proper personal protective equipment and mindful resource use, hospitals are able to become more comfortable and efficient while providing increasingly frequent vascular access services in the current and future pandemics. [ABSTRACT FROM AUTHOR]

COVID‐19 pandemic brings to light similarities to the 1918 influenza pandemic, one of the deadliest outbreaks in United States history. The work of the Henry Street Visiting Nurse Service also referred to the public health nurses for that time, was a critical part of the New York City response. This case study examined Lillian Wald's leadership in directing the public health nursing response in New York City during the second wave of the influenza pandemic, from September through December of 1918. A historical social framework was used. Primary sources included the Lillian Wald Papers in the Rare Book and Manuscript Library, Columbia University in New York, Wald's (1934) Windows on Henry Street, medical, public health and nursing documents, journals, and newspaper articles published during the early 20th century. Secondary source material include works by historians Sarah Abrams, Arlene Keeling, Karen Buhler‐Wilkerson, Sandra Lewenson, John Barry, and Alfred Crosby. Key findings included developing a community wide strategic plan, using data driven decisions, implementing visiting nursing services, teaching in the home, and maintaining a diverse workforce. Lessons learned can guide leadership in emergency planning, system change, infection control and disease prevention, all familiar practices of public health nursing. [ABSTRACT FROM AUTHOR]

Home health aides and home care agencies, who operate in a high work stress environment under normal conditions, were placed under extraordinary demands during the COVID-19 pandemic. In this paper, we examine the unfolding effort at one agency in New York City to offer phone-based support calls to aides. We used a qualitative, single case study design involving semi-structured interviews with call staff and agency leaders (n = 9) and analysis of one year of thematic notes from the calls. We found that the calls resulted in multidirectional communication between agency staff and aides, an increased sense of empathy among staff, and a greater integration of aides into the agency's overall infrastructure. We explore how these calls might contribute to aide retention, worker voice, and mental health. We note the facilitators and barriers to implementing this type of job-based support to help other agencies that may be considering similar models. [ABSTRACT FROM AUTHOR]

Early warning tools are crucial for the timely application of intervention strategies and the mitigation of the adverse health, social and economic effects associated with outbreaks of epidemic potential such as COVID-19. This paper introduces, the Epidemic Volatility Index (EVI), a new, conceptually simple, early warning tool for oncoming epidemic waves. EVI is based on the volatility of newly reported cases per unit of time, ideally per day, and issues an early warning when the volatility change rate exceeds a threshold. Data on the daily confirmed cases of COVID-19 are used to demonstrate the use of EVI. Results from the COVID-19 epidemic in Italy and New York State are presented here, based on the number of confirmed cases of COVID-19, from January 22, 2020, until April 13, 2021. Live daily updated predictions for all world countries and each of the United States of America are publicly available online. For Italy, the overall sensitivity for EVI was 0.82 (95% Confidence Intervals: 0.75; 0.89) and the specificity was 0.91 (0.88; 0.94). For New York, the corresponding values were 0.55 (0.47; 0.64) and 0.88 (0.84; 0.91). Consecutive issuance of early warnings is a strong indicator of main epidemic waves in any country or state. EVI's application to data from the current COVID-19 pandemic revealed a consistent and stable performance in terms of detecting new waves. The application of EVI to other epidemics and syndromic surveillance tasks in combination with existing early warning systems will enhance our ability to act swiftly and thereby enhance containment of outbreaks. [ABSTRACT FROM AUTHOR]

This paper presents an in-person and digital ethnography of people in New York State who use drugs and seek treatment for opioid use disorder (OUD) using phone or video connection to receive healthcare (telecare) including interviews prior to and during the COVID-19 pandemic. This article leverages a Feminist and Science and Technology Studies (STS) approach to elucidate how the framing of the opioid crisis shapes the interconnections that are discernable, providing a heuristic to understand the increased rates of deaths due to drug overdose during the pandemic. The narratives of people seeking treatment are analyzed through the theoretical lenses of Nelly Oudshoorn's concept of the technogeography of care, Nancy Campbell's concept of technologies of suspicion, and Nancy Fraser's analysis of the US juridical-administrative-therapeutic in/justice system. This paper traces and problematizes how telecare contributes to redefining the experience of familiar places, such as home, into spaces of both care and surveillance, and how the technology of telecare presents both affordances and foreclosures to accessing care as people struggle to conform with its requirements in order to receive care. Key findings are, (1) the significance of hugs and tactile connection that is sorely missed by people using telecare for group therapy, (2) the critical importance of proximity to in-person services even while using telecare, (3) the resistance strategies of telecare users to surveillance mechanisms, and (4) the continued stigmatization of drug use and treatment acts as a key barrier to people who are striving to produce the identity of a patient who is clinically stable for take-home medication. [ABSTRACT FROM AUTHOR]

This paper builds on a body of work over the decades that examines how East Yorkers give and receive support. We go beyond the earlier work taking into consideration communication technologies and how they play a role in the ways people exchange social support across the life course. We draw on 101 in-depth interviews conducted in 2013–2014 to shed light on the support networks of a sample of East York residents and discern the role of communication technologies in the exchange of different types of social support across age groups. Our findings show that not much has changed since the 1960s in terms of the social ties that our sample of East Yorkers have, and the types of support mobilized via social networks: companionship, small and large services, emotional aid, and financial support. What has changed is how communication technologies interweave in complex ways with different types of social ties (partners, siblings, friends, etc.) to mobilize social support. We found that communication technologies helped siblings and extended kin to increase the frequency of interaction and help exchange support at a distance. Communication technologies helped solidify friendship ties by providing a continuous flow of interaction. We draw implications for theories of social support and for social policy associated with interventions aimed at helping vulnerable groups cope in hard times such as the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

This paper proposes an ensemble predictor for the weekly increase in the number of confirmed COVID‐19 cases in the city of New York at zip code level. Within a Bayesian model averaging framework, the baseline is a Poisson regression for count data. The set of covariates includes autoregressive terms, spatial effects, and demographic and socioeconomic variables. Our results for the second wave of the coronavirus pandemic show that these regressors are more significant to predict the number of new confirmed cases as the pandemic unfolds. Both pointwise and interval forecasts exhibit strong predictive ability in‐sample and out‐of‐sample. [ABSTRACT FROM AUTHOR]

In response to the COVID-19 pandemic and consequential shutdown measures, many mental health professionals started providing therapy to patients exclusively via telehealth. Our research center, which specializes in studying and treating obsessive-compulsive disorder (OCD), historically has provided in-person exposure and response prevention (ERP) to adults with OCD, but shifted to telehealth during the pandemic. Unlike in other modes of talk therapy, ERP's emphasis on therapist-supervised exposures presented unique opportunities and challenges to delivering treatment entirely via a virtual platform. This paper provides case examples to illustrate lessons we learned delivering ERP exclusively via telehealth in New York from March 2020 through June 2021 and offers recommendations for future study and practice. Though we observed a number of drawbacks to fully remote ERP, we also discovered advantages to delivering ERP this way, meriting additional research attention. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has prompted an unprecedented global effort to understand and mitigate the spread of the SARS-CoV-2 virus. In this study, we present a comprehensive analysis of COVID-19 in Western New York (WNY), integrating individual patient-level genomic sequencing data with a spatially informed agent-based disease Susceptible-Exposed-Infectious-Recovered (SEIR) computational model. The integration of genomic and spatial data enables a multi-faceted exploration of the factors influencing the transmission patterns of COVID-19, including genetic variations in the viral genomes, population density, and movement dynamics in New York State (NYS). Our genomic analyses provide insights into the genetic heterogeneity of SARS-CoV-2 within a single lineage, at region-specific resolutions, while our population analyses provide models for SARS-CoV-2 lineage transmission. Together, our findings shed light on localized dynamics of the pandemic, revealing potential cross-county transmission networks. This interdisciplinary approach, bridging genomics and spatial modeling, contributes to a more comprehensive understanding of COVID-19 dynamics. The results of this study have implications for future public health strategies, including guiding targeted interventions and resource allocations to control the spread of similar viruses. [ABSTRACT FROM AUTHOR]

Importance: The frequency and characteristics of post-acute sequelae of SARS-CoV-2 infection (PASC) may vary by SARS-CoV-2 variant. Objective: To characterize PASC-related conditions among individuals likely infected by the ancestral strain in 2020 and individuals likely infected by the Delta variant in 2021. Design: Retrospective cohort study of electronic medical record data for approximately 27 million patients from March 1, 2020-November 30, 2021. Setting: Healthcare facilities in New York and Florida. Participants: Patients who were at least 20 years old and had diagnosis codes that included at least one SARS-CoV-2 viral test during the study period. Exposure: Laboratory-confirmed COVID-19 infection, classified by the most common variant prevalent in those regions at the time. Main outcome(s) and measure(s): Relative risk (estimated by adjusted hazard ratio [aHR]) and absolute risk difference (estimated by adjusted excess burden) of new conditions, defined as new documentation of symptoms or diagnoses, in persons between 31–180 days after a positive COVID-19 test compared to persons without a COVID-19 test or diagnosis during the 31–180 days after the last negative test. Results: We analyzed data from 560,752 patients. The median age was 57 years; 60.3% were female, 20.0% non-Hispanic Black, and 19.6% Hispanic. During the study period, 57,616 patients had a positive SARS-CoV-2 test; 503,136 did not. For infections during the ancestral strain period, pulmonary fibrosis, edema (excess fluid), and inflammation had the largest aHR, comparing those with a positive test to those without a COVID-19 test or diagnosis (aHR 2.32 [95% CI 2.09 2.57]), and dyspnea (shortness of breath) carried the largest excess burden (47.6 more cases per 1,000 persons). For infections during the Delta period, pulmonary embolism had the largest aHR comparing those with a positive test to a negative test (aHR 2.18 [95% CI 1.57, 3.01]), and abdominal pain carried the largest excess burden (85.3 more cases per 1,000 persons). Conclusions and relevance: We documented a substantial relative risk of pulmonary embolism and a large absolute risk difference of abdomen-related symptoms after SARS-CoV-2 infection during the Delta variant period. As new SARS-CoV-2 variants emerge, researchers and clinicians should monitor patients for changing symptoms and conditions that develop after infection. [ABSTRACT FROM AUTHOR]

In this case study, we describe a well-resourced private school in New York City that implemented COVID-19 mitigation measures based on public health expert guidance and the lessons learned from this process. Avenues opened in New York City in 2012 and has since expanded, becoming Avenues: The World School, with campuses in São Paulo, Brazil; Shenzhen, China; the Silicon Valley, California; and online. It offers education at 16 grade levels: 2 early learning years, followed by a prekindergarten through grade 12. We describe the mitigation measures that Avenues implemented on its New York campus. We compare COVID-19 case prevalence at the school with COVID-19 case positivity in New York City, as reported by the New York State Department of Health. We also compare the school's indoor air quality to ambient indoor air quality measures reported in the literature. The school's mitigation measures successfully reduced the prevalence of COVID-19 among its students, staff, and faculty. The school also established a consistently high level of indoor air quality safety through various ventilation mechanisms, designed to reduce common indoor air pollutants. The school received positive parent and community feedback on the policies and procedures it established, with many parents commenting on the high level of trust and quality of communication established by the school. The successful reopening provides useful data for school closure and reopening standards to prepare for future pandemic and epidemic events. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had significant effects on urban and regional food systems. Local administrations worldwide have been challenged to design and implement policies to mitigate immediate food system disruptions while planning for longer-term equity and resilience. The fast pace and high degree of uncertainty of the pandemic have made systematic tracking and assessment of food system change and related policy responses arduous. To address this gap, this paper applies the multilevel perspective on sociotechnical transitions and the multiple streams framework on policy change to 16 months of food policy (March 2020 through June 2021) during the New York State-issued COVID-19 state of emergency, comprising more than 300 food policies advanced by New York City and State legislators and administrators. Content analysis of these policies revealed the most salient policy areas during this period, the status of legislation, and key programs and budget allocations, as well as local food governance and the organizational spaces within which food policy operates. The paper shows that food policy domains that gained prominence focused on support for food businesses and food workers and on ensuring and expanding food access through food security and nutrition policies. Most COVID-19 food policies were incremental and were limited to the duration of the emergency, yet the crisis allowed for enactment of novel policies that deviated from the common policy issues or the typical scale of changes proposed pre-pandemic. Taken together, and viewed through a multilevel and policy streams framework, the findings provide insight into the trajectory of food policymaking in New York during the pandemic and the areas that food justice activists, researchers, and policy makers should focus on as the COVID-19 pandemic is abated. • NY City and State advanced more than 300 food policies during the COVID emergency. • Policies focusing on food businesses, food workers, and food access were prominent. • Most policies were incremental and limited to the duration of the emergency. • The crisis propelled the enactment of several breakthrough food policies. • Pandemic food policymaking continues beyond the emergency. [ABSTRACT FROM AUTHOR]

• Marginalized families are disproportionately affected by COVID-19 pandemic. • Clinical vignettes describe integration of evidence-based practice and advocacy. • Child-focused clinicians can support marginalized communities as clinician-advocates. The novel coronavirus (COVID-19) has disproportionately impacted the health and socioeconomic outcomes for low-income populations, people of color, and immigrant children and families in the United States. As inequities in resources (i.e., food, internet, housing), health care, and education increased for marginalized families as a result of COVID-19, child-focused clinicians had to broaden their professional scope and implement new advocacy efforts. The current paper uses clinical vignettes taken from a New York State Office of Mental Health–licensed child and adolescent outpatient clinic in the Bronx, New York. The vignettes highlight the social inequities that impacted marginalized children and families during the pandemic, as well as the clinical team's response through the integration of evidence-base practice and advocacy. Implications for practice with vulnerable populations as the COVID-19 pandemic persists are discussed. [ABSTRACT FROM AUTHOR]

Background: Public transportation use is influenced by perceptions of safety. Concerns related to crime on New York City (NYC) transit have risen following NYC's COVID-19 pandemic state of emergency declaration in 2020, leading to declines in subway ridership. In response, the most recent mayoral administration implemented a Subway Safety Plan in 2022. This study aimed to quantify the effects of the COVID-19 pandemic and the Subway Safety Plan on rates of complaints to and arrests by the New York City Police Department (NYPD) Transit Bureau. Methods: Using publicly available data on complaints and arrests, we conducted interrupted time-series analyses using autoregressive integrated moving average models applied to monthly data for the period from September 2018 to August 2023. We estimated changes in the rates of complaints to and arrests by the NYPD Transit Bureau before and after: (1) the COVID-19 pandemic state of emergency declaration (i.e., March 2020), and (2) the announcement of the Subway Safety Plan (i.e., February 2022). We also examined trends by complaint and arrest type as well as changes in proportion of arrests by demographic and geographic groups. Results: After the COVID-19 pandemic declaration, there was an 84% increase (i.e., an absolute increase of 6.07 per 1,000,000 riders, CI 1.42, 10.71) in complaints to the NYPD Transit Bureau, including a 99% increase (0.91 per 1,000,000 riders, CI 0.42, 1.41) in complaints for assault and a 125% increase in complaints for harassment (0.94 per 1,000,000 riders, CI 0.29, 1.60). Following the Subway Safety Plan there was an increase in the rate of arrests for harassment (0.004 per 1,000,000 riders, CI 0.001, 0.007), as well as decreases in the proportion of arrests for individuals racialized as White (− 0.02, CI − 0.04, − 0.01) and proportion of arrests in the borough of Manhattan (− 0.13, CI − 0.17, − 0.09). Conclusions: The increased rates of complaints to the NYPD Transit Bureau following the onset of the COVID-19 pandemic remained elevated following the enactment of the Subway Safety Plan. Further evaluation efforts can help identify effective means of promoting safety on public transportation. [ABSTRACT FROM AUTHOR]

This article sets out a methodology for performance meteorology by analysing the weather in the urban pastoral imagery of diegetic and non-diegetic 'open-air performances' in three screen musicals set in New York City: Steven Spielberg's remake of West Side Story, Jon M. Chu's adaptation of In the Heights and Lin-Manuel Miranda's adaptation of Tick, Tick... BOOM!. Together, these films depict the aerial environment of New York as the context for open-air performances, generating distinct representations of how the weather conditions life in the cultural home of musical theatre. The New York performers and performances represented in these pieces cultivate their identities with the weather, as do the creatives who represent them. They indicate the growing climate anxieties that came to substrate the COVID-19 pandemic, when the premium on access to the open air was brought into renewed focus. Crucially, these iterations of West Side Story, In the Heights and Tick, Tick... BOOM! do more than use the medium of film to record how bodies respond to the weather. They capture the cultural zeitgeist of the New York climate at a crucial juncture between environmental and social history. Beyond the record that they will long provide of the prevailing sense of the city's climate as culture, they attest to adaptive practices of weathering the city in their expressions of performance in the open air. [ABSTRACT FROM AUTHOR]

A model of epidemic dynamics is developed that incorporates continuous variables for infection age and vaccination age. The model analyzes pre-symptomatic and symptomatic periods of an infected individual in terms of infection age. This property is shown to be of major importance in the severity of the epidemic, when the infectious period of an infected individual precedes the symptomatic period. The model also analyzes the efficacy of vaccination in terms of vaccination age. The immunity to infection of vaccinated individuals varies with vaccination age and is also of major significance in the severity of the epidemic. Application of the model to the 2003 SARS epidemic in Taiwan and the COVID-19 epidemic in New York provides insights into the dynamics of these diseases. It is shown that the SARS outbreak was effectively contained due to the complete overlap of infectious and symptomatic periods, allowing for the timely isolation of affected individuals. In contrast, the pre-symptomatic spread of COVID-19 in New York led to a rapid, uncontrolled epidemic. These findings underscore the critical importance of the pre-symptomatic infectious period and the vaccination strategies in influencing the dynamics of an epidemic. [ABSTRACT FROM AUTHOR]

Carbon monoxide (CO) is a regulated air pollutant that impacts tropospheric chemistry and is an important indicator of the incomplete combustion of carbon-based fuels. In this study, we used four years (2019–2022) of winter and spring (January–May) atmospheric CO observations to quantify and characterize city-scale CO enhancements (ΔCO) from the New York City metropolitan area (NYCMA). We observed large variability in ΔCO, roughly 60 % of which was explained by atmospheric transport from the surrounding surface areas to the measurement sites, with the remaining 40 % due to changes in emissions on sub-monthly timescales. We evaluated the CO emissions from the Emissions Database for Global Atmospheric Research (EDGAR), which has been used to scale greenhouse gas emissions, and found the emissions are much too low in magnitude. During the COVID-19 shutdown in spring 2020, we observed a flattening of the diurnal pattern of CO emissions, consistent with reductions in daytime transportation. Our results highlight the role of meteorology in driving the variability of air pollutants and show that the transportation sector is unlikely to account for the non-shutdown observed CO emissions magnitude and variability, an important distinction to determine the sources of combustion emissions in urban regions like the NYCMA. [ABSTRACT FROM AUTHOR]

Estimation of time-varying autoregressive models for count-valued time series can be computationally challenging. In this direction, we propose a time-varying Poisson autoregressive (TV-Pois-AR) model that accounts for the changing intensity of the Poisson process. Our approach can capture the latent dynamics of the time series and therefore make superior forecasts. To speed up the estimation of the TV-AR process, our approach uses the Bayesian Lattice Filter. In addition, the No-U-Turn Sampler (NUTS) is used, instead of a random walk Metropolis–Hastings algorithm, to sample intensity-related parameters without a closed-form full conditional distribution. The effectiveness of our approach is evaluated through model-based and empirical simulation studies. Finally, we demonstrate the utility of the proposed model through an example of COVID-19 spread in New York State and an example of US COVID-19 hospitalization data. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic has disproportionately affected some New York City (NYC) neighborhoods that primarily consist of Black, Indigenous, and Latinx residents. In comparison to the rest of NYC, these neighborhoods experienced high hospitalization and COVID-related death rates, which has been attributed to a longstanding history of structural racism and disinvestment. While stay-at-home orders were implemented to reduce the spread of COVID-19, this may have also affected access and utilization of non-COVID related healthcare services. This study aims to assess the prevalence of and reasons for the disruption of non-COVID related healthcare services during the first 18 months of the pandemic. Methods: From September 30, 2021 to November 4, 2021, the NYC Health Department administered the COVID-19 Community Recovery Survey to a subset of residents who were part of the NYC Health Panel a probability-based survey panel. This cross-sectional survey, which included closed and open-ended questions, was either self-administered online or completed via CATI (Computer Assisted Telephone Interviewing) in English, Spanish, and Simplified Chinese. Descriptive statistics were used to summarize responses and unweighted, weighted, age-adjusted percentages, and 95% Confidence Intervals (CIs) were calculated. Results: With a response rate of 30.3% (N = 1358), more than half of participants (54%) reported disruption to either routine physical healthcare or mental health services. Concern about getting COVID-19 (61%), stay-at-home policies (40%), belief that care could safely be postponed (35%), and appointment challenges (34%) were among reasons for delaying routine healthcare. Concern about getting COVID-19 (38%) and reduced hours of service (36%) were primary reasons for delaying mental healthcare. Reported reasons for the sustained delay of care past 18 months involved COVID concerns, appointment, and insurance challenges. Conclusions: Due to the pandemic, some disruption to healthcare was expected. However, most study participants either avoided or experienced a delay in healthcare. The delay of non-COVID related healthcare throughout the pandemic may result in the further widening of the health inequity gap among NYC residents dealing with a higher chronic disease burden before the start of the COVID-19 pandemic in March 2020. Findings from this study can support equitable COVID-19 recovery, and guide efforts with health promotion. [ABSTRACT FROM AUTHOR]

Post-COVID, New York City faces reduced demand for commercial space in its central business districts, even as residential demand is resurgent. Just as in past eras of New York’s history, conversion of commercial spaces into housing may help the city adapt to these new market conditions and provide an additional pathway for producing badly needed housing. If 10 percent of office and hotel spaces were converted to residential use, around 75,000 homes would be created, concentrated in Midtown Manhattan. However, there are considerable obstacles to such conversions, including a slew of regulatory barriers. Allowing greater flexibility in building uses—including by reducing the distinction between short- and long-term use and rethinking the separation of uses embedded in the city’s zoning code—could help facilitate these shifts. [ABSTRACT FROM AUTHOR]

This phenomenological study explores the experiences of Chinese international undergraduate students in the United States as they work through the complications of COVID-19 that are potentially intertwined with Sinophobia. By drawing on insights from critical race theory, especially the lens of racial trauma and trauma-informed care, the current study interprets four primary themes: (a) Paradox: Confusions about Racism in Academic Life; (b) Racially-Traumatic Incidences and Risk Factors in Social and Cultural Life; (c) Exodus: Burnout, Homesick, and the Dilemma; and (d) Determined Traumatic Symptoms: Insomnia, Nightmare, and Negative Memories. Noticeably, social justice issues such as isolation, exclusion, threats, and discrimination were present during the 2020 academic year. Therefore, the implications are explored through sociopsychological perspectives. [ABSTRACT FROM AUTHOR]

This research examines the impact of COVID-19 on food security in New York state and the innovative approaches employed by food assistance organizations to help address the changing and increasing demand for their services from March 2020 to May 2021. We examine the case study of New York's Capital District region through a qualitative approach. We find that there was a sharp increase in utilization of emergency services during spring of 2020, which tapered off in the summer and fall of 2020 but remained above the levels of need seen the previous year. Food assistance organizations quickly adapted to the increased demand for their services and changing conditions to reduce gaps in local food distribution chains: They reorganized and tapped into new sources for volunteers, networked with public and private organizations, and coordinated work with other regional food pantries for maximum impact. The flexibility of food assistance organizations to address the disruptions brought about by the COVID-19 pandemic highlights their critical roles in the U.S. food security environment. While organizations are aware of their shortcomings, constraints, and overall role in the American food system, the majority also expressed that the pandemic presented an opportunity to treat a complex problem together and to enact change. Several stakeholders also shared their hope that strengthening their networks and innovations may facilitate post-pandemic recovery, bring about systemic changes to address root causes of food insecurity, and better serve the communities most vulnerable to hunger and service disruptions. [ABSTRACT FROM AUTHOR]

The Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model has been commonly used to analyze the spread of infectious diseases. This 4-compartment (S, E, I and R) model uses an approximation of temporal homogeneity of individuals in these compartments to calculate the transfer rates of the individuals from compartment E to I to R. Although this SEIR model has been generally adopted, the calculation errors caused by temporal homogeneity approximation have not been quantitatively examined. In this study, a 4-compartment l-i SEIR model considering temporal heterogeneity was developed from a previous epidemic model (Liu X., Results Phys. 2021; 20:103712), and a closed-form solution of the l-i SEIR model was derived. Here, l represents the latent period and i represents the infectious period. Comparing l-i SEIR model with the conventional SEIR model, we are able to examine how individuals move through each corresponding compartment in the two SEIR models to find what information may be missed by the conventional SEIR model and what calculation errors may be introduced by using the temporal homogeneity approximation. Simulations showed that l-i SEIR model could generate propagated curves of infectious cases under the condition of l>i. Similar propagated epidemic curves were reported in literature, but the conventional SEIR model could not generate propagated curves under the same conditions. The theoretical analysis showed that the conventional SEIR model overestimates or underestimates the rate at which individuals move from compartment E to I to R in the rising or falling phase of the number of infectious individuals, respectively. Increasing the rate of change in the number of infectious individuals leads to larger calculation errors in the conventional SEIR model. Simulations from the two SEIR models with assumed parameters or with reported daily COVID-19 cases in the United States and in New York further confirmed the conclusions of the theoretical analysis. [ABSTRACT FROM AUTHOR]

Contemporary shopping is experiencing rapid changes with the increasing ubiquity of technologies that can be utilised to create seamless omni-channel experiences. These changes have logistics-related implications for end-consumers. Adopting Bowersox (1978)'s [Logistics management. New York: Macmillan] categorisation of logistics activities, this study comprises a synthesised review of scattered consumer logistics literature to bring order and structure to this evolving research field. It is found that an omni-channel shopping environment enables the dynamic transfer of logistics activities between business operators and consumers; However, this interaction does not extend to the post-shopping last-mile context. Instead, last-mile logistics is characterised by a somewhat rigid extension/shift of logistics obligations to/from consumers. Additionally, the COVID-19 pandemic has given rise to a self-service and technology-dependence trend in consumer logistics, leading to the more active control of logistics activities by consumers. Four propositions along with a unified framework are proposed, based on which a list of future research questions is suggested. [ABSTRACT FROM AUTHOR]

Introduction: Limited information exists on patients with suspected coronavirus disease 2019 (COVID-19) who return to the emergency department (ED) during the first wave. In this study we aimed to identify predictors of ED return within 72 hours for patients with suspected COVID-19. Methods: Incorporating data from 14 EDs within an integrated healthcare network in the New York metropolitan region from March 2–April 27, 2020, we analyzed this data on predictors for a return ED visit—including demographics, comorbidities, vital signs, and laboratory results. Results: In total, 18,599 patients were included in the study. The median age was 46 years old [interquartile range 34-58]), 50.74% were female, and 49.26% were male. Overall, 532 (2.86%) returned to the ED within 72 hours, and 95.49% were admitted at the return visit. Of those tested for COVID-19, 59.24% (4704/ 7941) tested positive. Patients with chief complaints of “fever” or “flu” or a history of diabetes or renal disease were more likely to return at 72 hours. Risk of return increased with persistently abnormal temperature (odds ratio [OR] 2.43, 95% CI 1.8-3.2), respiratory rate (2.17, 95% CI 1.6-3.0), and chest radiograph (OR 2.54, 95% CI 2.0-3.2). Abnormally high neutrophil counts, low platelet counts, high bicarbonate values, and high aspartate aminotransferase levels were associated with a higher rate of return. Risk of return decreased when discharged on antibiotics (OR 0.12, 95% CI 0.0-0.3) or corticosteroids (OR 0.12, 95% CI 0.0-0.9). Conclusion: The low overall return rate of patients during the first COVID-19 wave indicates that physicians’ clinical decision-making successfully identified those acceptable for discharge. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic has increased online interactions and the spread of misinformation. Some researchers anticipate benefits stemming from improved public awareness of the value of vaccines while others worry concerns around vaccine development and public health mandates may have damaged public trust. There is a need to understand whether the COVID-19 pandemic, vaccine development, and vaccine mandates have influenced HPV vaccine attitudes and sentiments to inform health communication strategies. Methods: We collected 596,987 global English-language tweets from January 2019-May 2021 using Twitter's Academic Research Product track. We determined vaccine confident and hesitant networks discussing HPV immunization using social network analysis. Then, we used a neural network approach to natural language processing to measure narratives and sentiment pertaining to HPV immunization. Results: Most of the tweets in the vaccine hesitant network were negative in tone (54.9%) and focused on safety concerns surrounding the HPV vaccine while most of the tweets in the vaccine confident network were neutral (51.6%) and emphasized the health benefits of vaccination. Growth in negative sentiment among the vaccine hesitant network corresponded with legislative efforts in the State of New York to mandate HPV vaccination for public school students in 2019 and the WHO declaration of COVID-19 as a Global Health Emergency in 2020. In the vaccine confident network, the number of tweets concerning the HPV vaccine decreased during the COVID-19 pandemic but in both vaccine hesitant and confident networks, the sentiments, and themes of tweets about HPV vaccine were unchanged. Conclusions: Although we did not observe a difference in narratives or sentiments surrounding the HPV vaccine during the COVID-19 pandemic, we observed a decreased focus on the HPV vaccine among vaccine confident groups. As routine vaccine catch-up programs restart, there is a need to invest in health communication online to raise awareness about the benefits and safety of the HPV vaccine. [ABSTRACT FROM AUTHOR]

Introduction: Myeloid malignancies are a heterogeneous group of clonal bone marrow disorders that are complex to manage in the community and therefore often referred to subspecialists at tertiary oncology referral centers. Many patients do not live in close proximity to tertiary referral centers and are unable to commute long distances due to age, comorbidities, and frailty. Interventions that minimize the travel time burden without compromising quality of care are an area of unmet need. We describe a cancer care delivery model for patients with myeloid malignancies that is built around telehealth and enables this vulnerable population access to care at an NCI-designated cancer center while receiving majority of their care close to home. Methods and Materials: We report on a cohort of patients with myeloid malignancies who were co-managed by a general community oncologist and an academic leukemia subspecialist at Montefiore Einstein Cancer Center in New York. Patients were initially referred to our institute for a second opinion by community practices that are in partnership with Montefiore Health System, and initial visits were in-person or via telehealth. Treatment plans were made after discussion with patient's local community oncologist. Patients then continued to receive majority of their treatment and supportive care including transfusion support with their local oncologist, and follow-up visits were mainly via telehealth with the academic leukemia subspecialist. Results: Our cohort of 12 patients had a median age of 81 years (range, 59–88 years). Patients remained on active treatment for a median time of 357 days (range, 154–557 days). Most of our patients had a performance status of ECOG 2 or higher. Three patients had myelodysplastic syndromes, 7 patients had acute myeloid leukemia, and 2 patients had myelofibrosis. The median number of hospitalizations over the total treatment time period was one. Conclusion: We demonstrate a shared academic and community care co-management model for the treatment of myeloid malignancies in elderly, frail patients using telehealth as a backbone with a very low hospitalization rate. [ABSTRACT FROM AUTHOR]

Chemical engineering involves a skill set that is transferrable to a broad range of other areas. A case in point is the work that is being done by chemical engineers to better understand and fight the COVID‐19 epidemic. In this study, we consider a problem that has eluded the COVID‐19 research community, which is nevertheless very tractable with a chemical engineering mindset: the true or intrinsic mortality rate of COVID‐19, that is, the fraction or percentage of COVID‐19‐infected people that die of the disease. We solve this problem in two locations (Spain and the state of New York) for the epidemic's first wave using a combination of daily death data, a fit of a computer simulation of an epidemiological model with adjustable parameters, and independent results of immunological blood testing on a random sample of the population. Parallels are drawn with the problem of determining the turnover frequency of a catalyst based on a similar combination of data and approaches. It is concluded from the study that the intrinsic mortality rate of COVID‐19 was 1.45 ± 0.45% during the first wave, a number that reflects OECD countries. By incorporating data on the age dependence of the mortality rate, a relationship fmort = (3.0 ± 0.7) × 10−5 exp(0.1a), where a is the age in years, is tentatively put forward for the mortality rate as a fraction. [ABSTRACT FROM AUTHOR]

We analyze the progression of COVID-19 in the United States over a nearly one-year period beginning March 1, 2020 with a novel metric motivated by queueing models, tracking partial-average day-of-event and cumulative probability distributions for events, where events are points in time when new cases and new deaths are reported. The partial average represents the average day of all events preceding a point of time, and is an indicator as to whether the pandemic is accelerating or decelerating in the context of the entire history of the pandemic. The measure supplements traditional metrics, and also enables direct comparisons of case and death histories on a common scale. We also compare methods for estimating actual infections and deaths to assess the timing and dynamics of the pandemic by location. Three example states are graphically compared as functions of date, as well as Hong Kong as an example that experienced a pronounced recent wave of the pandemic. In addition, statistics are compared for all 50 states. Over the period studied, average case day and average death day varied by two to five months among the 50 states, depending on data source, with the earliest averages in New York and surrounding states, as well as Louisiana. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic is the most fundamental challenge to the healthcare system in current generations. Physical therapists (PTs), as essential members of the healthcare team, were impacted substantially. Understanding their experiences during this unique and challenging time would help PTs manage the pandemic and future crises in healthcare. It may also reveal professional changes that may persist through the pandemic and beyond. To describe the experiences of PTs in the New York metropolitan area during the initial wave of the pandemic. This was an interpretive phenomenological study. Data were collected during 8 focus groups of 2–3 PTs each in August and September 2020 via videoconference. Audio recordings of the groups were transcribed, and data were coded in 3 rounds. Twenty-two PTs from a range of settings participated. Four themes were identified: (1) Everything was disrupted; (2) It was not safe; (3) It was overwhelming; and (4) There was a professional transformation. In hospitals, participants described chaos, poor communication, and unsafe working environments. In outpatient settings, participants described job instability and challenges adapting to telehealth. As the pandemic progressed inpatient PTs felt safer, gained confidence, and became critical members of interdisciplinary care teams. Outpatient therapists adapted to telehealth and experienced rising caseloads as patients returned to therapy. Physical therapists experienced a variety of challenges during the initial phases of the pandemic. As the pandemic progressed, they redefined practice. [ABSTRACT FROM AUTHOR]

One particular population we have seen is patients with hematologic malignancy and immune suppression who develop post-COVID organizing pneumonia, often with prolonged and persistent positive COVID-19 PCR. Keywords: COVID-19; medical education; post-COVID syndrome; respiratory failure; telemedicine EN COVID-19 medical education post-COVID syndrome respiratory failure telemedicine 892 894 3 08/21/23 20230901 NES 230901 In 2020, we were faced with a sudden upheaval in medical practice as COVID-19 first came to New York City. Invaluable experience in the care of patients with respiratory failure has been gained by a generation of clinicians who managed patients during the pandemic. [Extracted from the article]

• Examine the concentration in gun violence shootings before and during the pandemic in three cities. • Examine how the increase in shooting hot spots impacted racial disparities in victimization rates. • Examine how the surge in gun violence during the pandemic increased disparities by place and race. • Between 36% and 55% of the increase in shootings occurred in the top decile of census block groups. • The spatial concentration of gun violence victimization by race-ethnicity was compounded during the pandemic. Gun violence rates increased in U.S. cities in 2020 and into 2021. Gun violence rates in U.S. cities is typically concentrated in racially segregated neighborhoods with higher poverty levels. However, poverty levels and demographics alone do not explain the high concentration of violence or its relative change over time. In this paper, we examine the extent to which the increase in shooting victimization in Philadelphia, New York, and Los Angeles during the 2020–2021 pandemic was concentrated in gun violence hot spots, and how the increase impacted race and ethnic disparities in shooting victimization rates. We find that 36% (Philadelphia), 47% (New York), and 55% (Los Angeles) of the increase in shootings observed during the period 2020–2021 occurred in the top decile of census block groups, by aggregate number of shootings, and that the race/ethnicity of victims in these gun violence hot spots were disproportionately Black and Hispanic. We discuss the implications of these findings as they relate to racial disparities in victimization and place-based efforts to reduce gun violence. [ABSTRACT FROM AUTHOR]

The United Nations Commission on International Trade Law (UNCITRAL) is the core legal body of the United Nations system in the field of international trade law. It has been carrying out its mandate to further the progressive harmonization and unification of international trade law since 1966. 1 This article provides an overview of the 55th session of UNCITRAL and the activities of its working groups and Secretariat from mid-2021 to mid-2022. The annual UNCITRAL session (27 June to 15 July 2022, New York) was held fully in person for the first time since the start of the COVID-19 pandemic. Delegates and observers were also able to listen to the Commission session remotely via the UN webcast system but were not able to intervene using that format. Though the Commission session operated under normal conditions, the activities of the UNCITRAL working groups and the Secretariat during the year were still affected by the pandemic, with the meeting time with interpretation in all six UN languages reduced for hybrid meetings that were held both in-person and via Zoom. [ABSTRACT FROM AUTHOR]

A novel optimization algorithm for stable parameter estimation and forecasting from limited incidence data for an emerging outbreak is proposed. The algorithm combines a compartmental model of disease progression with iteratively regularized predictor-corrector numerical scheme aimed at the reconstruction of case reporting ratio, transmission rate, and effective reproduction number. The algorithm is illustrated with real data on COVID-19 pandemic in the states of Georgia and New York, USA. The techniques of functional data analysis are applied for uncertainty quantification in extracted parameters and in future projections of new cases. [ABSTRACT FROM AUTHOR]

Objectives: Despite the seriousness of influenza and pertussis, availability of safe and effective vaccines against them, and long-standing maternal vaccination recommendations, US maternal influenza and Tdap vaccination rates have been low. To increase vaccination rates in obstetric offices, it is important to understand clinician perspectives and office processes. We conducted in-depth interviews with nurses and providers on these topics. Methods: Interviewees worked in obstetric offices in one-of-four participating health systems in NY and CA. We audio-recorded and transcribed 20–30-min interviews. We used predetermined categories to code interviews with Dedoose, then iteratively refined codes and identified themes. Results: We conducted 20 interviews between 4/2020 and 9/2020: 13 providers (physician or nurse midwife) (5 NY, 8 CA); 7 office nurses (6 NY, 1 CA). In almost all offices, patient refusal of influenza vaccine was considered the major vaccination barrier; Tdap was often deferred by patients until post-delivery. Nurse-only visits for either vaccine were rare. Vaccination outside the office was uncommon; few offices systematically documented vaccines given elsewhere in a retrievable manner. Participants emphasized patient education as key to prenatal care, but the number of topics left little time for immunizations. Few interviewees could identify an office "immunization champion," knew their office vaccination rates, or had participated in vaccination quality improvement. Several interviewees indicated that they or another provider were good at persuading hesitant patients, but their method had not been shared with other clinicians. Conclusions for Practice: Multiple practical barriers and maternal vaccine hesitancy limit maternal vaccination. Quality improvement strategies are needed. [ABSTRACT FROM AUTHOR]

Rationale: During the coronavirus disease pandemic, audio‐only and video telehealth visits became more widely available, but the relative patient satisfaction between telehealth and in‐person modalities is not well‐described. Aims and Objectives: Our objective was to compare patient satisfaction with audio‐only, video, and in‐person adult primary care visits at a large, urban public healthcare system. Methods: In this cross‐sectional study, we used aggregated data from Press Ganey patient satisfaction surveys at 17 primary care facilities at New York City Health + Hospitals for visits between 1 June 2021 to 30 November 2021. We compared mean scores for questions common to surveys for each modality in domains of Access, Care Provider, and Overall Assessment using pairwise comparisons with two‐tailed t‐tests. Results: There were 7,183/79,562 (9.0%) respondents for in‐person visits and 1,009/15,092 (6.7%) respondents for telehealth visits. Compared to respondents for in‐person visits, respondents for telehealth visits were more likely to be aged 35–64 years, Asian, and speak English as their primary language, and less likely to be ≥65 years old, Black or other race, and speak Spanish or another language as their primary language (p < 0.001). Patients reported higher mean satisfaction for Access measures for telehealth visits than in‐person visits (p < 0.001). For Care Provider satisfaction questions, video visits generally had higher mean scores than in‐person and, in turn, audio‐only visits. For Overall Assessment questions, video visits had higher mean scores than in‐person and, subsequently, audio‐only visits. Conclusion: Of the visit modalities, video visits had the highest mean satisfaction scores across all domains. Telehealth may improve experiences with access, but audio‐only visits may provide poorer visit experiences. [ABSTRACT FROM AUTHOR]

Background: Older persons living with HIV (PLWH) need routine healthcare to manage HIV and other comorbidities. This mixed methods study investigated digital equity, constituted as access, use and quality, of HIV and specialty telehealth services for PLWH > 50 years during the initial wave of the COVID-19 pandemic when services transitioned to remote care.Methods: A survey of closed and open-ended questions was administered to 80 English (N = 63) and Spanish (N = 17) speaking PLWH receiving HIV care at an Academic Medical Center (N = 50) or a Federally Qualified Health Center (N = 30) in New York State. Quantitative analyses examined characteristics predicting telehealth use and visit quality. Qualitative analyses utilized thematic coding to reveal common experiences. Results were integrated to deepen the interpretation.Results: Telehealth access and use were shaped by multiple related and unstable factors including devices and connectivity, technology literacy, and comfort including privacy concerns. Participants demonstrated their substantial effort to achieve the visit. The majority of patients with a telehealth visit perceived it as worse than an in-person visit by describing it as less interpersonal, and resulting in poorer outcomes, particularly participants with less formal education. Technology was not only a barrier to access, but also influenced perceptions of quality.Conclusions: In the COVID-19 pandemic initial wave, barriers to using telehealth were unequally distributed to those with more significant access and use challenges. Beyond these barriers, examining the components of equity indicate further challenges replicating in-person care using telehealth formats for older PLWH. Work remains to establish telehealth as both equitable and desirable for this population. [ABSTRACT FROM AUTHOR]

Within weeks of New York State's first confirmed case of COVID-19, New York City became the epicenter of the nation's COVID-19 pandemic. With more than 80,000 COVID-19 hospitalizations during the first wave alone, hospitals in downstate New York were forced to adapt existing procedures to manage the surge and care for patients facing a novel disease. Given the unprecedented surge, effective patient load balancing—moving patients from a hospital with diminishing capacity to another hospital within the same health system with relatively greater capacity—became chief among the capabilities required of New York health systems. The Greater New York Hospital Association invited members of downstate New York's 6 largest health systems to talk about how each of their systems evolved their patient load balancing procedures throughout the pandemic. Informed by their insights, experiences, lessons learned, and collaboration, we collectively present a set of consensus recommendations and best practices for patient load balancing at the facility and health system level, which may inform regional approaches to patient load balancing. [ABSTRACT FROM AUTHOR]

The expectation of a mass movement out of cities due to the rise of remote work associated with the Covid-19 pandemic, is counter to longstanding theories of the benefits of agglomeration economies. It suggests centrifugal shifts of economic activity which could boost neighbourhood economies at the expense of the downtown core. Using mobile phone data from SafeGraph, we track migration and daily mobility patterns throughout the New York metropolitan area between July 2019 and June 2021. We find that diverse suburban centres and exurban areas have bounced back more quickly than the dense specialised commercial districts in and around Manhattan. [ABSTRACT FROM AUTHOR]