Narcanazo: Community Activation of Antiracist Epidemiology.

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

Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults.

OBJECTIVE: To examine the association between changes in self-reported neighborhood stressors and sleep quality and determine whether this varied by sociocultural context among Puerto Rican young adults. METHODS: Data come from the Boricua Youth Study Health Assessment, a sample of Puerto Rican young adults from San Juan, Puerto Rico, and South Bronx, New York (n = 818; mean age=22.9years). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Neighborhood social stressors (disorder, social cohesion, and safety) were parent-reported in childhood and self-reported in young adulthood and categorized into: low in childhood/young adulthood (reference group), high in childhood/low in young adulthood, low in childhood/high in young adulthood, and high in childhood/young adulthood. Sociocultural context was based on participant residence during childhood (San Juan vs. South Bronx). RESULTS: Adjusting for sociodemographic factors, living with high neighborhood stressors in both childhood and young adulthood (prevalence ratios=1.30, 95% CI: 1.01, 1.66) was associated with overall poor sleep (PSQI score >5). Among PSQI components, living with high neighborhood stressors in young adulthood only or in both time periods was associated with worse subjective sleep quality and daytime dysfunction. Additionally, there were various associations between the neighborhood stressor measures and PSQI components. Results did not differ by sociocultural context. CONCLUSION: Findings suggest that living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood.

Adverse Childhood Experiences and Sleep Disturbances Among Puerto Rican Young Adults.

Importance: Sleep quality is a known marker of overall health. Studies suggest that adverse childhood experiences (ACEs) are associated with sleep disturbances among children and adults. Objective: To examine the association of retrospective and prospective ACEs with sleep quality among a cohort of Puerto Rican young adults from 2 sociocultural contexts. Design, Setting, and Participants: This prospective cohort study used data from the Boricua Youth Study (BYS), a population-based study representing Puerto Rican children from the South Bronx, New York, and Puerto Rico conducted from August 2000 to August 2003. Participants who were 5 to 9 years of age at enrollment in the BYS and who participated in wave 4 of the BYS took part in the Health Assessment (HA) when they were 18 to 29 years of age, from April 2013 to August 2017. Of the eligible 982 participants, 813 (82.8%) participated in the HA. Statistical analysis was conducted from January 2023 to January 2024. Exposures: Prospective ACEs measured from parent and youth responses and retrospective ACEs measured among young adults using questions from the validated ACE questionnaire from the original ACEs study conducted by Kaiser Permanente and the Centers for Disease Control and Prevention and published in 1998. Analysis included 8 overlapping items from both questionnaires. Outcomes: Sleep quality was assessed in the HA with the Pittsburgh Sleep Quality Index. The summary score included 7 components of the Pittsburgh Sleep Quality Index. The hypothesis was formulated after data collection. Sleep quality information was gathered at the same time as retrospective ACEs in the HA. Results: Of the 813 participants, 438 (53.9%) lived in Puerto Rico as children, 411 (50.6%) identified as female, and the mean (SE) age of participants was 22.9 (0.07) years. After adjusting for sociodemographic factors, retrospective ACEs had a significant association with worse sleep outcomes (ß [SE] = 0.29 [0.07]; 95% CI, 0.15-0.44; P < .001). Prospective ACEs did not have a significant association with sleep quality, after adjusting for sociodemographic factors (ß [SE] = 0.05 [0.10]; 95% CI, -0.14 to 0.24; P = .59). Conclusions and Relevance: This study suggests that there is a significant association between retrospective ACEs and sleep quality among Puerto Rican young adults, after adjusting for sociodemographic factors. Prospective ACEs were not significantly associated with sleep disturbances, after adjusting for sociodemographic factors. Addressing ACEs reported in young adulthood may help reduce sleep disorders.

"No sufro, estoy bien/I am not suffering, so I am doing OK": A mixed method exploration of individual and network-level factors and Type 2 Diabetes Mellitus (T2DM) among Mexican American adults in New York City.

INTRODUCTION: The prevalence of type 2 Diabetes Mellitus (T2DM) is 2-3 times greater among Mexican Americans than non-Latino whites, and Mexican Americans are more likely to develop T2DM at younger ages and experience higher rates of complications. Social networks might play a crucial role in both T2DM etiology and management through social support, access to resources, social engagement, and health behavioral norms. OBJECTIVE: To quantitatively identify the social network features associated with glycated hemoglobin (HbA1c) in a community sample of Mexican immigrants residing in New York City, and to explore the extent to which these quantitative findings converge with qualitative narratives of their lived experiences. METHODS: This study used a convergent mixed methods design. To collect personal network data, we used EgoWeb, and obtained 1,400 personal network ties from 81 participants. HbA1c readings were collected using dried blood spots and categorized according to the laboratory criteria of the American Diabetes Association. Additional survey data were collected using Qualtrics software. To investigate the significance of the network-level factors after accounting for the socioeconomic and demographic individual-level factors that the literature indicates to be associated with T2DM, we used a multiple regression model on quantitative data sources. For the qualitative portion of the study, we selected a subset of individuals who participated in the quantitative portion, which represented 500 personal network ties from 25 participants. We conducted in-depth interviews guided by the visualization of these ties to explore who was helpful or difficult in managing their health and health behaviors. RESULTS: Individual-level indicators associated with lower HbA1c scores were body mass index (ß = -0.07, p<0.05), and healthy eating index scores (ß = -0.03, p<0.02). The network-level predictor associated with higher HbA1c levels was the percentage of diabetic alters in the network (ß = 0.08, p <0.001, with a 25% increase in the percentages associated 2.0 change in HbA1c levels. The qualitative data highlighted that most of the diabetes-related information diffused through the social networks of our participants was related to dietary practices, such as reducing sugar and red meat consumption, eating out less, and reducing portion sizes. Notably, even among those with elevated levels and diabetes-related health complications, HbA1c was not considered a part of the lay descriptions of good health since they were not "suffering." Participants regarded doctors as the ultimate authority in diabetes care, even if they had supportive members in their personal networks. CONCLUSION: Our study provides quantitative evidence for the significant role of diabetic network members in the etiology and management of T2DM among Mexican Americans. Our qualitative findings suggest important ley terms for T2DM management and the importance of physicians, which could be included in in future social networks studies seeking to diffuse diabetes-related health information for T2DM prevention and management efforts in this population.

Correlations between COVID-19 cases and temperature, air humidity, and social isolating rate with cross wavelet transform and wavelet coherence: Case study of New York and São Paulo cities.

The COVID-19 pandemic originated in 2019 and has become an endemic disease that we must learn to live with, similar to other strains of influenza. The Organization (WHO) declared on May 5, 2023, in Geneva, Switzerland, the end of the Public Health Emergency of International Concern regarding COVID-19. As vaccines become more widely available and the pandemic appears to be improved, our focus shifts to the challenges we still face. Understanding how external factors like temperature, air humidity, and social isolation impact the spread of the SARS-CoV-2 virus remains a crucial challenge beyond our control. In this study, potential links between the number of COVID-19 cases in São Paulo City (SPC) and New York City (NWC) were explored. Our analysis was carried out utilizing the continuous wavelet transform, alongside other tools such as cross-wavelet transform and wavelet coherence. Based on our findings, there appears to be a correlation between the variables related to low frequencies, which aligns with previous research on the topic. Particularly, our research has revealed a connection between COVID-19 cases and factors such as temperature, air humidity, and social isolation rates. Regarding the latter, our findings indicate that implementing social distancing measures was a wise public policy decision, although the correlation with daily COVID-19 cases requires careful analysis. For this study, we analyzed data from February of 2020, when the first cases were reported in the cities under investigation, SPC and NWC, up until December 31, 2022, by which time the vaccination campaign was well under way.

Insights from a cross-sectional binational study comparing obesity among nonimmigrant Colombians in their home country and Colombian immigrants in the U.S.

BACKGROUND: Latinos in the United States (U.S.) represent a heterogeneous minority population disproportionally impacted by obesity. Colombians in the U.S. are routinely combined with other South Americans in most obesity studies. Moreover, most studies among Latino immigrants in the U.S. solely focus on factors in the destination context, which largely ignores the prevalence of obesity and contextual factors in their country of origin, and warrant transnational investigations. METHODS: Using 2013-17 data from the New York City Community Health Survey (NYC CHS, U.S.) and the National Survey of the Nutritional Situation (ENSIN, Colombia), Colombians that immigrated to the U.S. and are living in NYC (n = 503) were compared to nonimmigrant Colombians living in their home country (n = 98,829). Prevalence ratios (PR) for obesity (BMI ≥ 30 kg/m2) by place of residence were estimated using multivariable logistic regression adjusting for socio-demographic characteristics and daily consumption of sugar-sweetened beverages. RESULTS: The prevalence of obesity was 49% greater for immigrant Colombians living in NYC when compared to nonimmigrant Colombians living in in their home country (PR = 1.49; 95% CI 1.08, 2.07). Colombian immigrant men in NYC were 72% more likely to have obesity compared to nonimmigrant men living in their home country (PR = 1.72; 95% CI 1.03, 2.87). No significant differences were found in the adjusted models among women. CONCLUSIONS: Colombian immigrants in NYC exhibit a higher prevalence of obesity compared to their nonimmigrant counterparts back home and sex strengthens this relationship. More obesity research is needed to understand the immigration experience of Colombians in the U.S. and the underlying mechanisms for sex difference. Public health action focused on women in Colombia and both Colombian men and women immigrants in the U.S. is warranted to avert the long-term consequences of obesity.

Correlation between mobility in mass transport and mortality due to COVID-19: A comparison of Mexico City, New York, and Madrid from a data science perspective.

In most big cities, public transports are enclosed and crowded spaces. Therefore, they are considered as one of the most important triggers of COVID-19 spread. Most of the existing research related to the mobility of people and COVID-19 spread is focused on investigating highly frequented paths by analyzing data collected from mobile devices, which mainly refer to geo-positioning records. In contrast, this paper tackles the problem by studying mass mobility. The relations between daily mobility on public transport (subway or metro) in three big cities and mortality due to COVID-19 are investigated. Data collected for these purposes come from official sources, such as the web pages of the cities' local governments. To provide a systematic framework, we applied the IBM Foundational Methodology for Data Science to the epidemiological domain of this paper. Our analysis consists of moving averages with a moving window equal to seven days so as to avoid bias due to weekly tendencies. Among the main findings of this work are: a) New York City and Madrid show similar distribution on studied variables, which resemble a Gauss bell, in contrast to Mexico City, and b) Non-pharmaceutical interventions don't bring immediate results, and reductions to the number of deaths due to COVID are observed after a certain number of days. This paper yields partial evidence for assessing the effectiveness of public policies in mitigating the COVID-19 pandemic.

Acculturation and Depressive Symptoms Among Dominicans in New York City.

Little is known about the association between acculturation and mental health among Dominican populations in the United States. Data came from a community survey of Dominican residents of New York City (n = 2744). Associations between two indicators of acculturation, proportion of life spent in the U.S. and interview language (English/Spanish), with lifetime depressive symptoms (Patient Health Questionnaire-9 score ≥ 5) were examined using logistic regression overall and by gender. In adjusted models, respondents with English-language interview and above-median proportion of life spent in the U.S. had 77% higher odds (95% CI 1.28, 2.44) of lifetime depressive symptoms than those with Spanish-language interview and below-median proportion of life spent in the U.S. There was some evidence of elevated odds of depressive symptoms among men with English-language interview and below-median proportion of life spent in the U.S. Additional research is needed to elucidate gender-specific impacts of acculturation on mental health in this population.

Pre-COVID-19 Social Determinants of Health Among Mexican Migrants in Los Angeles and New York City and Their Increased Vulnerability to Unfavorable Health Outcomes During the COVID-19 Pandemic.

COVID-19 has disproportionally affected underrepresented minorities (URM) and low-income immigrants in the United States. The aim of the study is to examine the underlying vulnerabilities of Mexican immigrants in New York City (NYC) and Los Angeles (LA), its correspondence with area-level COVID-19 morbidity and mortality, and to document the role of trusted and culturally sensitive services offered during the pandemic through the Ventanillas de Salud (i.e. VDS, Health Windows) program. The study uses a mixed-methods approach including a cross-sectional survey of Mexican immigrants in LA and NYC collected in the Mexican Consulates at the onset of the pandemic, complemented with a georeferencing analysis and key informant interviews. Data suggested an increased vulnerability to COVID-19 given participants reported health status, health care profile and place of residence, which coincided with the georeferencing analysis. The key informant interviews confirmed the vulnerability of this population and the supporting role of VDS in helping immigrants navigate health systems and disseminate health information. Mexican immigrants had an increased vulnerability to COVID-19 at the individual, geographic and systemic levels. Trusted and culturally sensitive services are needed to overcome some of the barriers and risk factors that increase the vulnerability of URM and immigrant populations to COVID-19.

The Epidemiology of Respiratory Syncytial Virus in New York City during the Coronavirus Disease-2019 Pandemic Compared with Previous Years.

Fewer respiratory syncytial virus infections were observed in 2020-2021 with interseasonal resurgence. Children were more likely to have severe disease with less known risk factors in comparison with controls from 2018-2019. The overall codetection rates were similar, but with higher parainfluenza, rhinovirus/enterovirus, and lower influenza proportions compared with previous seasons.

Excess Deaths in Mexico City and New York City During the COVID-19 Pandemic, March to August 2020.

Objectives. To estimate all-cause excess deaths in Mexico City (MXC) and New York City (NYC) during the COVID-19 pandemic. Methods. We estimated expected deaths among residents of both cities between March 1 and August 29, 2020, using log-linked negative binomial regression and compared these deaths with observed deaths during the same period. We calculated total and age-specific excess deaths and 95% prediction intervals (PIs). Results. There were 259 excess deaths per 100 000 (95% PI = 249, 269) in MXC and 311 (95% PI = 305, 318) in NYC during the study period. The number of excess deaths among individuals 25 to 44 years old was much higher in MXC (77 per 100 000; 95% PI = 69, 80) than in NYC (34 per 100 000; 95% PI = 30, 38). Corresponding estimates among adults 65 years or older were 1263 (95% PI = 1199, 1317) per 100 000 in MXC and 1581 (95% PI = 1549, 1621) per 100 000 in NYC. Conclusions. Overall, excess mortality was higher in NYC than in MXC; however, the excess mortality rate among young adults was higher in MXC. Public Health Implications. Excess all-cause mortality comparisons across populations and age groups may represent a more complete measure of pandemic effects and provide information on mitigation strategies and susceptibility factors. (Am J Public Health. 2021;111(10): 1847-1850. https://doi.org/10.2105/AJPH.2021.306430).

Development of a model-inference system for estimating epidemiological characteristics of SARS-CoV-2 variants of concern.

To support COVID-19 pandemic planning, we develop a model-inference system to estimate epidemiological properties of new SARS-CoV-2 variants of concern using case and mortality data while accounting for under-ascertainment, disease seasonality, non-pharmaceutical interventions, and mass-vaccination. Applying this system to study three variants of concern, we estimate that B.1.1.7 has a 46.6% (95% CI: 32.3-54.6%) transmissibility increase but nominal immune escape from protection induced by prior wild-type infection; B.1.351 has a 32.4% (95% CI: 14.6-48.0%) transmissibility increase and 61.3% (95% CI: 42.6-85.8%) immune escape; and P.1 has a 43.3% (95% CI: 30.3-65.3%) transmissibility increase and 52.5% (95% CI: 0-75.8%) immune escape. Model simulations indicate that B.1.351 and P.1 could outcompete B.1.1.7 and lead to increased infections. Our findings highlight the importance of preventing the spread of variants of concern, via continued preventive measures, prompt mass-vaccination, continued vaccine efficacy monitoring, and possible updating of vaccine formulations to ensure high efficacy.

A randomized double-blind controlled trial of convalescent plasma in adults with severe COVID-19.

BACKGROUNDAlthough convalescent plasma has been widely used to treat severe coronavirus disease 2019 (COVID-19), data from randomized controlled trials that support its efficacy are limited.METHODSWe conducted a randomized, double-blind, controlled trial among adults hospitalized with severe and critical COVID-19 at 5 sites in New York City (USA) and Rio de Janeiro (Brazil). Patients were randomized 2:1 to receive a single transfusion of either convalescent plasma or normal control plasma. The primary outcome was clinical status at 28 days following randomization, measured using an ordinal scale and analyzed using a proportional odds model in the intention-to-treat population.RESULTSOf 223 participants enrolled, 150 were randomized to receive convalescent plasma and 73 to receive normal control plasma. At 28 days, no significant improvement in the clinical scale was observed in participants randomized to convalescent plasma (OR 1.50, 95% confidence interval [CI] 0.83-2.68, P = 0.180). However, 28-day mortality was significantly lower in participants randomized to convalescent plasma versus control plasma (19/150 [12.6%] versus 18/73 [24.6%], OR 0.44, 95% CI 0.22-0.91, P = 0.034). The median titer of anti-SARS-CoV-2 neutralizing antibody in infused convalescent plasma units was 1:160 (IQR 1:80-1:320). In a subset of nasopharyngeal swab samples from Brazil that underwent genomic sequencing, no evidence of neutralization-escape mutants was detected.CONCLUSIONIn adults hospitalized with severe COVID-19, use of convalescent plasma was not associated with significant improvement in day 28 clinical status. However, convalescent plasma was associated with significantly improved survival. A possible explanation is that survivors remained hospitalized at their baseline clinical status.TRIAL REGISTRATIONClinicalTrials.gov, NCT04359810.FUNDINGAmazon Foundation, Skoll Foundation.

Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data.

We propose a susceptible-exposed-infective-recovered-type (SEIR-type) meta-population model to simulate and monitor the (COVID-19) epidemic evolution. The basic model consists of seven categories, namely, susceptible (S), exposed (E), three infective classes, recovered (R), and deceased (D). We define these categories for n age and sex groups in m different spatial locations. Therefore, the resulting model contains all epidemiological classes for each age group, sex, and location. The mixing between them is accomplished by means of time-dependent infection rate matrices. The model is calibrated with the curve of daily new infections in New York City and its boroughs, including census data, and the proportions of infections, hospitalizations, and deaths for each age range. We finally obtain a model that matches the reported curves and predicts accurate infection information for different locations and age classes.

Racial and Economic Neighborhood Segregation, Site of Delivery, and Morbidity and Mortality in Neonates Born Very Preterm.

OBJECTIVE: To assess the influence of racial and economic residential segregation of home or hospital neighborhood on very preterm birth morbidity and mortality in neonates born very preterm. STUDY DESIGN: We constructed a retrospective cohort of n = 6461 infants born <32 weeks using 2010-2014 New York City vital statistics-hospital data. We calculated racial and economic Index of Concentration at the Extremes for home and hospital neighborhoods. Neonatal mortality and morbidity was defined as death and/or severe neonatal morbidity. We estimated relative risks for Index of Concentration at the Extremes measures and neonatal mortality and morbidity using log binomial regression and the risk-adjusted contribution of delivery hospital using Fairlie decomposition. RESULTS: Infants whose mothers live in neighborhoods with the greatest relative concentration of Black residents had a 1.6 times greater risk of neonatal mortality and morbidity than those with the greatest relative concentration of White residents (95% CI 1.2-2.1). Delivery hospital explained more than one-half of neighborhood differences. Infants with both home and hospital in high-concentration Black neighborhoods had a 38% adjusted risk of neonatal mortality and morbidity compared with 25% of those with both home and hospital high-concentration White neighborhoods (P = .045). CONCLUSIONS: Structural racism influences very preterm birth neonatal mortality and morbidity through both the home and hospital neighborhood. Quality improvement interventions should incorporate a framework that includes neighborhood context.

Modeling COVID-19 epidemics in an Excel spreadsheet to enable first-hand accurate predictions of the pandemic evolution in urban areas.

COVID-19, the first pandemic of this decade and the second in less than 15 years, has harshly taught us that viral diseases do not recognize boundaries; however, they truly do discriminate between aggressive and mediocre containment responses. We present a simple epidemiological model that is amenable to implementation in Excel spreadsheets and sufficiently accurate to reproduce observed data on the evolution of the COVID-19 pandemics in different regions [i.e., New York City (NYC), South Korea, Mexico City]. We show that the model can be adapted to closely follow the evolution of COVID-19 in any large city by simply adjusting parameters related to demographic conditions and aggressiveness of the response from a society/government to epidemics. Moreover, we show that this simple epidemiological simulator can be used to assess the efficacy of the response of a government/society to an outbreak. The simplicity and accuracy of this model will greatly contribute to democratizing the availability of knowledge in societies regarding the extent of an epidemic event and the efficacy of a governmental response.

Barriers to Prostate Cancer Screening Among Indo-Guyanese.

Prostate cancer is one of the most common types of cancer in many industrialized countries and is among the leading causes of death. Ranking among one of the top three forms of cancer, it is unfortunate that prostate cancer screening is not routinely recommended. This study attempts to explore the barriers to prostate cancer screening among Indo-Guyanese men. We conducted in-depth, one on one interviews among 20 Indo-Guyanese men between the ages of 45 and 75 years old, residing in the New York City neighborhood of Queens. Qualitative analysis was performed using multiple coders. Detailed analysis of the data found four major themes to be the culprit associated with a decrease in prostate cancer screening in this population: (1) lack of knowledge about the disease, (2) fear of diagnosis, (3) embarrassment and, (4) personal reservations with the rectal exam. The findings of this research suggest that Indo-Guyanese immigrants are lacking the basic understanding of prostate cancer and the importance of screening. It is possible that this deficiency is also applicable to many other disease states. By collaborating with healthcare providers and other stakeholders, such as community leaders and elected officials, we can develop culturally appropriate services specific to this population, to address these barriers to healthcare services.

Clinical Manifestations and Outcomes of Critically Ill Children and Adolescents with Coronavirus Disease 2019 in New York City.

OBJECTIVES: To describe the clinical manifestations and outcomes of critically ill children with coronavirus disease-19 (COVID-19) in New York City. STUDY DESIGN: Retrospective observational study of children 1 month to 21 years admitted March 14 to May 2, 2020, to 9 New York City pediatric intensive care units (PICUs) with severe acute respiratory syndrome coronavirus 2 infection. RESULTS: Of 70 children admitted to PICUs, median age was 15 (IQR 9, 19) years; 61.4% male; 38.6% Hispanic; 32.9% black; and 74.3% with comorbidities. Fever (72.9%) and cough (71.4%) were the common presenting symptoms. Twelve patients (17%) met severe sepsis criteria; 14 (20%) required vasopressor support; 21 (30%) developed acute respiratory distress syndrome (ARDS); 9 (12.9%) met acute kidney injury criteria; 1 (1.4%) required renal-replacement therapy, and 2 (2.8%) had cardiac arrest. For treatment, 27 (38.6%) patients received hydroxychloroquine; 13 (18.6%) remdesivir; 23 (32.9%) corticosteroids; 3 (4.3%) tocilizumab; and 1 (1.4%) anakinra; no patient was given immunoglobulin or convalescent plasma. Forty-nine (70%) patients required respiratory support: 14 (20.0%) noninvasive mechanical ventilation, 20 (28.6%) invasive mechanical ventilation (IMV), 7 (10%) prone position, 2 (2.8%) inhaled nitric oxide, and 1 (1.4%) extracorporeal membrane oxygenation. Nine (45%) of the 20 patients requiring IMV were extubated by day 14 with median IMV duration of 218 (IQR 79, 310.4) hours. Presence of ARDS was significantly associated with duration of PICU and hospital stay, and lower probability of PICU and hospital discharge at hospital day 14 (P < .05 for all). CONCLUSIONS: Critically ill children with COVID-19 predominantly are adolescents, have comorbidities, and require some form of respiratory support. The presence of ARDS is significantly associated with prolonged PICU and hospital stay.

US Physicians Trained in Cuba Battle COVID-19 at Home:A Personal Account from the New York City Epicenter.

Speaking remotely with US graduates of Havana's Latin American School of Medicine (ELAM), I found them at work on hospital floors, in ICUs and health centers across the United States, putting their professional and personal commitment to the test against COVID-19. Nowhere was that more evident than in New York City, the disease's epicenter, where one grad told me virtually every hospital has at least one MD from the Cuban school, which has provided free 6-year medical training for some 30,000 doctors since the school's founding in 1999. The student body comes primarily from low- and middle-income countries worldwide, but Cuba also provided 200 US students with scholarships. One of them is Dr Joaquín Morante (ELAM Class of 2012), who did his medical residency in internal medicine, followed by fellowships in pulmonary disease and critical care medicine. Triple-licensed in internal medicine, pulmonary and critical care medicine, he is now an attending physician on staff at Jacobi Medical Center in The Bronx, one of New York City's public hospitals, and considered a 'hot spot' due to its COVID-19 caseload. I spoke with him during a break at home in mid-April.Dr Joaquín Morante, ELAM Class of 2012: Pulmonologist, critical care attending physician at Jacobi Medical Center, New York City.

Hepatitis C incidence and prevalence among Puerto Rican people who use drugs in New York City.

Background: Hepatitis C virus (HCV) infection is associated with substantial morbidity and mortality among people who use drugs (PWUD). Health disparities related to race/ethnicity and immigration status also increase the risk of HCV infection and decrease the probability of linkage to care. Effective, curative treatment is now available for HCV infection and, alongside prevention, may eliminate HCV epidemics. Methods: We examined HCV incidence, prevalence and associated risk factors among 5459 Puerto Rican (both PR-born and U.S.-born) and non-Puerto Rican (only U.S.-born) entrants to Mount Sinai Beth Israel drug treatment programs in New York City, from August 2005 to January 2018, to assess the need for HCV screening, prevention and treatment in this population. Results: HCV incidence and prevalence among Puerto Rican PWUD was significantly greater than the non-Puerto Ricans PWUD. Among people who inject drugs (PWID), there was no difference in injection risk behaviours by ethnicity/birth place. Conclusions: Findings suggest HCV treatment is a necessary component of a strategy to eliminate HCV epidemics among PWUD. Findings also underline the interconnectedness of epidemics across regions, such that to eliminate the HCV epidemic in one location may depend on eliminating the HCV epidemics in other locations.