29 datasets found
  1. N

    Asian American Community Health Resources and Needs Assessment 2013 - 2016

    • datacatalog.med.nyu.edu
    Updated Feb 7, 2023
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    Simona Kwon; Laura Wyatt; Chau Trinh-Shevrin (2023). Asian American Community Health Resources and Needs Assessment 2013 - 2016 [Dataset]. https://datacatalog.med.nyu.edu/dataset/10483
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    Dataset updated
    Feb 7, 2023
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Simona Kwon; Laura Wyatt; Chau Trinh-Shevrin
    Time period covered
    Jan 1, 2013 - Dec 31, 2016
    Area covered
    New York
    Description

    The Community Health Resources and Needs Assessment (CHRNA) project is a large-scale health needs assessment in diverse, low-income Asian American communities in New York City. The project uses a community-engaged and community venue-based approach to assess existing health issues, available resources, and best approaches to meet community health needs. Questions asked in the CHRNAs assess various determinants of health, including length of residence in the United States, English language proficiency, educational attainment, employment and income, perceived health, health insurance and access to care, nutrition and physical activity, mental health, screening for cancer and other chronic diseases, sleep deprivation, and connections to social and religious environments.

    The second round of CHRNAs, conducted in 2013-2016, examined population changes, population health improvements, and changes in risk and protective factors in the last decade. Approximately 100 individuals were surveyed from each of the following Asian subgroups: Arab, Asian Indian, Bangladeshi, Cambodian, Chinese, Filipino, Himalayan, Indo-Caribbean, Japanese, Korean, Pakistani, Ski Lankan, and Vietnamese (n=1,803).

  2. d

    New York City Community Health Survey

    • catalog.data.gov
    • data.cityofnewyork.us
    • +2more
    Updated May 24, 2024
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    data.cityofnewyork.us (2024). New York City Community Health Survey [Dataset]. https://catalog.data.gov/dataset/dohmh-community-health-survey-2010-2016
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    Dataset updated
    May 24, 2024
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the DOHMH, Division of Epidemiology, Bureau of Epidemiology Services. CHS provides robust data on the health of New Yorkers, including neighborhood, borough, and citywide estimates on a broad range of chronic diseases and behavioral risk factors. The data are analyzed and disseminated to influence health program decisions, and increase the understanding of the relationship between health behavior and health status. For more information see EpiQuery, https://a816-health.nyc.gov/hdi/epiquery/visualizations?PageType=ps&PopulationSource=CHS

  3. Gallup Respondent-Level Data: U.S. Daily Tracking

    • datacatalog.med.nyu.edu
    Updated Apr 24, 2024
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    Gallup (2024). Gallup Respondent-Level Data: U.S. Daily Tracking [Dataset]. https://datacatalog.med.nyu.edu/dataset/10184
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    Dataset updated
    Apr 24, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup
    Time period covered
    Jan 1, 2008 - Dec 31, 2017
    Area covered
    National, United States
    Description

    The Gallup U.S. Daily Tracking poll was conducted between 2008 and 2017 to collect Americans' opinions and perceptions on political and economic current events. It included two parallel surveys, the U.S. Daily and the Gallup-Sharecare Well-Being Index. Gallup interviews approximately 1,000 U.S. adults every day, half of whom respond to the U.S. Daily survey and the other half respond to the Gallup-Sharecare Well-Being Index survey. The U.S. Daily survey includes information about political affiliation, presidential approval ratings, economic confidence, and religion. The Gallup-Sharecare Well-Being Index includes information on health insurance, exercise, dietary choices, and overall well-being.

  4. N

    MIDAS Online Portal for COVID-19 Modeling Research

    • datacatalog.med.nyu.edu
    • datacatalog.library.wayne.edu
    Updated Sep 26, 2022
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    MIDAS Coordination Center (2022). MIDAS Online Portal for COVID-19 Modeling Research [Dataset]. https://datacatalog.med.nyu.edu/dataset/10402
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    Dataset updated
    Sep 26, 2022
    Dataset authored and provided by
    MIDAS Coordination Center
    Time period covered
    Jan 1, 2020 - Present
    Area covered
    International
    Description

    The MIDAS (Models of Infectious Disease Agent Study) Online Portal for COVID-19 Modeling Research is a collection of publicly-available COVID-19 resources to support dashboard monitoring, data processing, modeling, and visualization efforts. Collections listed in the portal include case counts and case line lists with documented metadata, peer-reviewed and non-peer-reviewed parameter estimates, and software created by MIDAS community members. Datasets and parameter estimates are maintained and stored in the MIDAS Github repository; software is hosted by their respective creators on Github or a personal webpage.

  5. National Health and Nutrition Examination Survey

    • datacatalog.med.nyu.edu
    • datacatalog.library.wayne.edu
    Updated Jan 23, 2025
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    United States - Centers for Disease Control and Prevention (CDC) (2025). National Health and Nutrition Examination Survey [Dataset]. https://datacatalog.med.nyu.edu/dataset/10003
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    Dataset updated
    Jan 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    United States - Centers for Disease Control and Prevention (CDC)
    Time period covered
    Jan 1, 1957 - Present
    Area covered
    Kansas, West Virginia, North Carolina, Minnesota, Oklahoma, Nebraska, Maine, Utah, Kentucky, Tennessee
    Description

    The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. An ongoing annual survey combines interviews and physical examinations. The NHANES interview includes demographic, socioeconomic, dietary, and health-related questions. The examination component consists of medical, dental, and physiological measurements, as well as laboratory tests administered by highly trained medical personnel.

    Ancillary studies include the NHANES National Youth Fitness Survey (NNYFS) and NHANES Epidemiologic Followup Study (NHEFS). NNYFS was conducted in 2012 to evaluate the physical activity and fitness of children aged 3 to 15 years old through interviews and fitness tests. NHEFS is a longitudinal survey of adults aged 25 to 74 years old in the NHANES I (1971-1975) cohort who completed a medical examination. Data was collected in follow-up rounds in 1982-1984, 1986, 1987, and 1992 through subject and proxy interviews and vital record search. Available data files include vital and tracing status, demographic information, interview data on health status, health care facility inpatient data, and mortality data.

  6. ReferenceUSA Historical Business Data: New York City Area

    • datacatalog.med.nyu.edu
    Updated Apr 24, 2024
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    Data Axle (2024). ReferenceUSA Historical Business Data: New York City Area [Dataset]. https://datacatalog.med.nyu.edu/dataset/10174
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    Dataset updated
    Apr 24, 2024
    Dataset authored and provided by
    Data Axlehttp://data-axle.com/
    Time period covered
    Jan 1, 2010 - Dec 31, 2014
    Area covered
    New York
    Description

    The dataset includes the names, employee sizes, asset sizes, business credit score, owner information, address, longitude and latitude, and census tract information for all businesses in New York City from 2010 to 2014. For nursing homes and hospitals, the dataset also categorizes capacity by the number of beds.

  7. N

    Impact of New York City Calorie Labeling on Calories Purchased

    • datacatalog.med.nyu.edu
    Updated Jun 24, 2024
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    Brian Elbel (2024). Impact of New York City Calorie Labeling on Calories Purchased [Dataset]. https://datacatalog.med.nyu.edu/dataset/10135
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    Dataset updated
    Jun 24, 2024
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Brian Elbel
    Time period covered
    2008
    Area covered
    Newark, New York
    Description

    Point-of-purchase receipt and survey data was collected from 1,156 adults at fast food restaurants in order to measure the impact of a New York City law mandating the labeling of calories in all chain restaurants. The data was collected over a four week period in 2008 both before and after the law was implemented. Data was collected in two locations: in New York City, where the law was implemented, and in neighboring Newark, NJ where it was not. Data points include the nutritional value of food purchased, such as the amount of calories, saturated fat, sodium, and sugar. Other variables collected include age, gender, race and ethnicity, education level, and whether the food was eaten at the restaurant or ordered 'to go.' Participants were recruited via street-intercept method outside of fast food restaurants (McDonald's, Burger King, KFC, Subway, and Wendy's).

  8. Gallup Respondent-Level Data: COVID-19 Panel

    • datacatalog.med.nyu.edu
    Updated Dec 5, 2024
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    Gallup (2024). Gallup Respondent-Level Data: COVID-19 Panel [Dataset]. https://datacatalog.med.nyu.edu/dataset/10435
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    Dataset updated
    Dec 5, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup
    Time period covered
    Jan 1, 2020 - Dec 31, 2022
    Area covered
    National, United States
    Description

    Between March 2020 and May 2022, Gallup conducted a web survey on members of the Gallup Panel, a nationally representative sample of U.S. adults aged 18 and above, to assess attitudes and behaviors related to the COVID-19 pandemic.

    From March 13 through April 26, 2020, approximately 1,200 responses were collected daily from a randomly selected sample of panel members. From April 27 to August 16, 2020, approximately 500 responses were collected daily. Between August 17, 2020 and December 5, 2021, the survey was conducted monthly with a two-week response period. From January to May 2022, the survey was conducted quarterly. Survey responses have been adjusted for the probability of selection and for nonresponse, with weights derived from data on gender, age, race, Hispanic ethnicity, education and region as reported in the latest Current Population Survey.

  9. N

    Data from: An Assessment of the Ocular Toxicity of Two Major Sources of...

    • datacatalog.med.nyu.edu
    • data.niaid.nih.gov
    • +1more
    Updated Sep 19, 2024
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    Steven H. Rauchman; Lora J. Kasselman; Ankita Srivastava; Joshua De Leon; Allison B. Reiss (2024). An Assessment of the Ocular Toxicity of Two Major Sources of Environmental Exposure [Dataset]. https://datacatalog.med.nyu.edu/dataset/10707
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    Dataset updated
    Sep 19, 2024
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Steven H. Rauchman; Lora J. Kasselman; Ankita Srivastava; Joshua De Leon; Allison B. Reiss
    Time period covered
    Jan 1, 2022 - Dec 31, 2023
    Area covered
    Iraq, Ohio
    Description

    These data contain information on chemicals released in to the air from burn pits in Iraq (waste disposal areas for US military bases) and the 2023 Ohio train derailment in East Palestine. The goals of the study were to 1) predict the effects of exposure to these chemicals on the ocular surface and 2) to call attention to the relationship between environmental events and long-term damage to the surface of the eye—in particular, dry eye disease, which is a known result of workplace chemical exposures. The study employed in silico methods through the ACD Labs Percepta platform, using data from the European Chemical Inventory and the Registry of Toxic Effects of Chemical Substances to model the chemicals’ probability of ocular irritation. Variables include the names of compounds identified from the burn pits and the train derailment, along with their chemical formulas, simplified molecular input line entry system (abbreviated to SMILES), and probability of causing eye irritation.

  10. n

    New York Times Coronavirus (COVID-19) in the United States

    • datacatalog.med.nyu.edu
    Updated Aug 13, 2021
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    (2021). New York Times Coronavirus (COVID-19) in the United States [Dataset]. https://datacatalog.med.nyu.edu/search?keyword=subject_keywords:Infectious%20diseases
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    Dataset updated
    Aug 13, 2021
    Area covered
    United States
    Description

    The New York Times is sharing the data files supporting their reporting on the COVID-19 outbreak. These files contain cumulative counts of COVID-19 cases and deaths (confirmed and probable) in the United States over time at the national, state, and county levels. Data collection is ongoing and is sourced from state and local governments and health departments.

  11. d

    Data from: Evaluation of metronomic chemotherapy response using diffusion...

    • datadryad.org
    • datacatalog.med.nyu.edu
    • +1more
    zip
    Updated Nov 2, 2020
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    Mehran Baboli; Jin Zhang; Kerryanne Winters; Melanie Freed; Gene Kim (2020). Evaluation of metronomic chemotherapy response using diffusion and dynamic contrast-enhanced MRI [Dataset]. http://doi.org/10.5061/dryad.j6q573ncc
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    zipAvailable download formats
    Dataset updated
    Nov 2, 2020
    Dataset provided by
    Dryad
    Authors
    Mehran Baboli; Jin Zhang; Kerryanne Winters; Melanie Freed; Gene Kim
    Time period covered
    2020
    Description

    Purpose: To investigate the feasibility of using diffusion MRI (dMRI) and dynamic contrast-enhanced (DCE) MRI to evaluate the treatment response of metronomic chemotherapy (MCT) in the 4T1 mammary tumor model of locally advanced breast cancer. Methods: Twelve Balb/c mice with metastatic breast cancer were divided into treated and untreated (control) groups. The treated group (n=6) received five treatments of anti-metabolite agent 5-Fluorouracil (5FU) in the span of two weeks. dMRI and DCE-MRI were acquired for both treated and control groups before and after MCT. Immunohistochemically staining and measurements were performed after the post-MRI measurements for comparison. Results: The control mice had significantly ( p <0.005) larger tumors than the MCT treated mice. The DCE-MRI analysis showed a decrease in contrast enhancement for the control group, whereas the MCT mice had a more stable enhancement between the pre-chemo and post-chemo time points. This confirms the antiangiog...

  12. Impact of Philadelphia Calorie Labeling on Calories Purchased

    • datacatalog.med.nyu.edu
    Updated Jun 24, 2024
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    Brian Elbel (2024). Impact of Philadelphia Calorie Labeling on Calories Purchased [Dataset]. https://datacatalog.med.nyu.edu/dataset/10136
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    Dataset updated
    Jun 24, 2024
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Brian Elbel
    Time period covered
    Jan 1, 2009 - Dec 31, 2010
    Area covered
    Baltimore, Philadelphia
    Description

    The study was designed to determine whether a city-mandated policy requiring calorie labeling at fast food restaurants was associated with consumer awareness of labels, calories purchased, and number of fast food restaurant visits. Point-of-purchase receipts, in-person interviews, and telephone surveys via random-digit dialing were collected as a part of this study on calorie labeling in fast food restaurants. Data was collected in Philadelphia before and after calorie labeling was implemented and in Baltimore, where calorie labeling was not implemented. Baseline collected took place in December 2009 in both Baltimore and Philadelphia. Data was collected after calorie labeling took effect in Philadelphia in February 2010. Further follow-up data collection occurred in June 2010.

    Researchers collected data on whether or not consumers reported seeing calorie labeling in the restaurant, whether they bought fewer or more calories as a result of the labeling, and how frequently they went to fast food restaurants. They also collected data on consumer age, gender, race, education, income, and BMI category. A total of 2,083 usable observations across both cities and data collection periods are included in the dataset.

  13. n

    National Ambulatory Medical Care Survey

    • datacatalog.med.nyu.edu
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    National Ambulatory Medical Care Survey [Dataset]. https://datacatalog.med.nyu.edu/search?keyword=subject_domain%3AQuality+of+Health+Care&facet%5B%5D=dataset_years%3A%221975+-+1984%22&page=1
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    Description

    The National Ambulatory Medical Care Survey (NAMCS) is a national survey designed to provide objective, reliable information about the provision and use of ambulatory medical care services in the United States. The survey was conducted annually from 1973 to 1981, in 1985, and annually since 1989. The survey samples visits to non-federally employed office-based physicians who are engaged in direct patient care. Physicians in the anesthesiology, pathology, and radiology specialities are excluded.

    Data are collected from the physician and include information on patient age, sex, race, and ethnicity as well as the patient's reason for visit, the physician's diagnosis, services ordered, and treatments. For survey responses from 1973 to 1991, data is reported in two files: one for patient visit data and a second for visits with a mention of medication therapy. For survey responses from 1992 to 2011, patient visit and drug data are reported in a single file. From 2012 onwards, there are two data files: one for patient visit and drug data and a second for data from providers at community health centers.

  14. N

    Baby's First Years, New York City, New Orleans, Omaha, and Twin Cities,...

    • datacatalog.med.nyu.edu
    Updated Mar 12, 2025
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    Katherine A. Magnuson; Kimberly Noble; Greg J. Duncan; Nathan A. Fox; Lisa A. Gennetian; Hirokazu Yoshikawa; Sarah Halpern-Meekin (2025). Baby's First Years, New York City, New Orleans, Omaha, and Twin Cities, 2018-2022 [Dataset]. https://datacatalog.med.nyu.edu/dataset/10581
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Katherine A. Magnuson; Kimberly Noble; Greg J. Duncan; Nathan A. Fox; Lisa A. Gennetian; Hirokazu Yoshikawa; Sarah Halpern-Meekin
    Time period covered
    Jan 1, 2018 - Present
    Area covered
    Omaha, Minneapolis, Saint Paul, New Orleans, New York
    Description

    Baby's First Years is the first randomized controlled trial in the United States to examine the causal impact of unconditional cash payments on children's early cognitive, socio-emotional, and brain development over 52 months. Researchers recruited 1,000 mothers with infants and incomes below the federal poverty line residing near study sites in New Orleans, LA, the Twin Cities (Minneapolis, MN and St. Paul, MN), Omaha, NE, and New York, NY. Participants were randomized via parallel assignment into either the high cash gift group (n=400) to receive $333 per month ($4,000 per year) or the low cash gift group (n=600) to receive $20 per month ($240 per year).

    Following the baseline visit, participants completed follow-up assessments on an annual basis. The files released in the ICPSR repository contain de-identified data from the baseline and follow-up visits (Years 1 to 4).

  15. Gallup Respondent-Level Data: Gallup Poll Social Series (GPSS)

    • datacatalog.med.nyu.edu
    Updated Mar 22, 2024
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    Gallup (2024). Gallup Respondent-Level Data: Gallup Poll Social Series (GPSS) [Dataset]. https://datacatalog.med.nyu.edu/dataset/10176
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup
    Time period covered
    Jan 1, 2001 - Present
    Area covered
    United States, National
    Description

    The Gallup Poll Social Series is a set of public opinion surveys designed to monitor U.S. adults' (aged 18 and up) views on numerous social, economic, and political topics. The topics are arranged thematically across 12 surveys. Gallup administers these surveys during the same month every year and includes the survey's core trend questions in the same order each administration. Using this consistent standard allows for unprecedented analysis of changes in trend data that are not susceptible to question order bias and seasonal effects. Respondent-level data from January 2019 onwards is available for request. Topics covered are listed below.

    • January: Mood of the Nation
    • February: World Affairs
    • March: Environment
    • April: Economy and Finance
    • May: Values and Beliefs
    • June: Minority Rights and Relations (conducted periodically)
    • July: Consumption Habits
    • August: Work and Education
    • September: Governance
    • October: Crime
    • November: Health
    • December: Lifestyle (conducted periodically)

  16. HCUP State Inpatient Databases

    • datacatalog.med.nyu.edu
    Updated Mar 22, 2024
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    United States - Agency for Healthcare Research and Quality (AHRQ) (2024). HCUP State Inpatient Databases [Dataset]. https://datacatalog.med.nyu.edu/dataset/10015
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Authors
    United States - Agency for Healthcare Research and Quality (AHRQ)
    Time period covered
    Jan 1, 1990 - Present
    Area covered
    Kansas, Massachusetts, Kentucky, Oregon, Alaska, Iowa, Hawaii, Arkansas, West Virginia, South Carolina
    Description

    The State Inpatient Databases (SID) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SID are a set of hospital databases containing the universe of the inpatient discharge abstracts from participating States, translated into a uniform format to facilitate multi-State comparisons and analyses. The SID can be used to investigate questions and identify trends unique to one state, to compare data from two or more states, and to conduct market area research or small area variation analyses. Data may not be available for all states across all years.

  17. Demographic and Health Surveys

    • datacatalog.med.nyu.edu
    Updated Feb 12, 2025
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    United States - Agency for International Development (USAID) (2025). Demographic and Health Surveys [Dataset]. https://datacatalog.med.nyu.edu/dataset/10110
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Authors
    United States - Agency for International Development (USAID)
    Area covered
    International
    Description

    The Demographic and Health Surveys (DHS) Program overseen by the US Agency for International AID (USAID) uses nationally representative surveys, biomarker testing, and geographic location to collect data on monitoring and impact evaluation indicators for individual countries and for cross-country comparisons.

    Standardized DHS surveys include the Demographic and Health Survey, Service Provision Assessment, HIV/AIDS Indicator Survey, Malaria Indicator Survey, and Key Indicators Survey. The DHS Program also collects biomarkers and geographic data. Data availability varies by year and country. A table that lists all currently available data can be found here.

  18. Gallup Respondent-Level Data: World Poll

    • datacatalog.med.nyu.edu
    Updated Mar 22, 2024
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    Gallup (2024). Gallup Respondent-Level Data: World Poll [Dataset]. https://datacatalog.med.nyu.edu/dataset/10183
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup
    Area covered
    International
    Description

    The Gallup World Poll is an ongoing global survey that collects respondents' opinions on a variety of topics. In geographic regions that have low access to telephone services, survey staff go to that area and to ask residents questions in-person. The Gallup World Poll includes core questions on business and economics, citizen engagement, communications and technology, education and families, environment and energy, food and shelter, government and politics, health, law and order, religion and ethics, social issues, well-being, and work. Additional questions may be included or edited depending on geographic location.

  19. State Health Policy Research Dataset, 1980-2010

    • datacatalog.med.nyu.edu
    Updated Jan 18, 2023
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    Diana R. Silver; James Macinko (2023). State Health Policy Research Dataset, 1980-2010 [Dataset]. https://datacatalog.med.nyu.edu/dataset/10589
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    Dataset updated
    Jan 18, 2023
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Diana R. Silver; James Macinko
    Time period covered
    Jan 1, 1980 - Dec 31, 2010
    Area covered
    United States
    Description

    The State Health Policy Research Dataset (SHEPRD) covers annual state trends in the adoption of public health laws between 1980 and 2010, inclusive. As described in the Inter-university Consortium for Political and Social Research (ICPSR), laws of interest were seatbelt laws, speed limits for passenger vehicles on rural interstates, minimum legal drinking ages, drunk driving laws, laws prohibiting the purchase of alcohol on Sundays, regulations for registering purchased kegs and/or prohibitions against selling kegs, beer taxes and total alcohol tax revenues, motorcycle and bicycle helmet laws, cigarette taxes, cigarette advertising bans, bans on workplace smoking, bans on smoking in restaurants and bars, and tobacco taxes (total revenue). The dataset also contains annual data on social, economic, demographic, health care, political, and crime characteristics for each state.

  20. Data from: Variant-specific introduction and dispersal dynamics of...

    • datacatalog.med.nyu.edu
    Updated Jun 17, 2024
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    Simon Dellicour; Samuel L. Hong; Verity Hill; Dacia Dimartino; Christian Marier; Paul Zappile; Gordon W. Harkins; Philippe Lemey; Guy Baele; Ralf Duerr; Adriana Heguy (2024). Variant-specific introduction and dispersal dynamics of SARS-CoV-2 in New York City – from Alpha to Omicron [Dataset]. https://datacatalog.med.nyu.edu/dataset/10619
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    Dataset updated
    Jun 17, 2024
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Simon Dellicour; Samuel L. Hong; Verity Hill; Dacia Dimartino; Christian Marier; Paul Zappile; Gordon W. Harkins; Philippe Lemey; Guy Baele; Ralf Duerr; Adriana Heguy
    Time period covered
    Jan 1, 2020 - Dec 31, 2022
    Area covered
    New York (State) - Long Island, New York
    Description

    Utilizing genomic sequencing data collected from COVID-19 patients in New York City metropolitan area, investigators produced a comparison of the introduction and dispersal of the main SARS-CoV-2 variants (Alpha, Iota, Delta, and Omicron-BA.1) from 2020 through 2022. The analysis included 5,577 sequences obtained from samples collected as part of genomic surveillance at NYU Langone Health from December 1, 2020 to February 27, 2022; all publicly-available sequences collected within the study area in the GISAID database; and a set of ‘background’ sequences featured in the last North American Nextstrain build that was available on the last collection date of the considered variant in our data set to provide a broader global context of SARS-CoV-2 phylogenetic diversity. In total, the dataset includes 11,758 (Iota), 16,395 (Alpha), 60,019 (Delta), and 32,322 (Omicron-BA.1) sequences.

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Simona Kwon; Laura Wyatt; Chau Trinh-Shevrin (2023). Asian American Community Health Resources and Needs Assessment 2013 - 2016 [Dataset]. https://datacatalog.med.nyu.edu/dataset/10483

Asian American Community Health Resources and Needs Assessment 2013 - 2016

CHRNA

Related Article
Explore at:
Dataset updated
Feb 7, 2023
Dataset provided by
NYU Health Sciences Library
Authors
Simona Kwon; Laura Wyatt; Chau Trinh-Shevrin
Time period covered
Jan 1, 2013 - Dec 31, 2016
Area covered
New York
Description

The Community Health Resources and Needs Assessment (CHRNA) project is a large-scale health needs assessment in diverse, low-income Asian American communities in New York City. The project uses a community-engaged and community venue-based approach to assess existing health issues, available resources, and best approaches to meet community health needs. Questions asked in the CHRNAs assess various determinants of health, including length of residence in the United States, English language proficiency, educational attainment, employment and income, perceived health, health insurance and access to care, nutrition and physical activity, mental health, screening for cancer and other chronic diseases, sleep deprivation, and connections to social and religious environments.

The second round of CHRNAs, conducted in 2013-2016, examined population changes, population health improvements, and changes in risk and protective factors in the last decade. Approximately 100 individuals were surveyed from each of the following Asian subgroups: Arab, Asian Indian, Bangladeshi, Cambodian, Chinese, Filipino, Himalayan, Indo-Caribbean, Japanese, Korean, Pakistani, Ski Lankan, and Vietnamese (n=1,803).

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