17 datasets found
  1. T

    All Employees: Education and Health Services in Gary, IN (MD)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 31, 2020
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    TRADING ECONOMICS (2020). All Employees: Education and Health Services in Gary, IN (MD) [Dataset]. https://tradingeconomics.com/united-states/all-employees-education-and-health-services-in-gary-in-md-thous-of-persons-fed-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 31, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Gary, Indiana
    Description

    All Employees: Education and Health Services in Gary, IN (MD) was 49.00000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: Education and Health Services in Gary, IN (MD) reached a record high of 49.80000 in January of 2017 and a record low of 27.60000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Education and Health Services in Gary, IN (MD) - last updated from the United States Federal Reserve on November of 2025.

  2. F

    All Employees: Education and Health Services in Gary, IN (MD) (DISCONTINUED)...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2024
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    (2024). All Employees: Education and Health Services in Gary, IN (MD) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/SMU18238446500000001A
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Gary, Maryland
    Description

    Graph and download economic data for All Employees: Education and Health Services in Gary, IN (MD) (DISCONTINUED) (SMU18238446500000001A) from 1990 to 2023 about health, education, services, employment, and USA.

  3. F

    All Employees: Education and Health Services: Health Care and Social...

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2025
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    (2025). All Employees: Education and Health Services: Health Care and Social Assistance in Gary, IN (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU18238446562000001
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    jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Gary, Maryland
    Description

    Graph and download economic data for All Employees: Education and Health Services: Health Care and Social Assistance in Gary, IN (MD) (SMU18238446562000001) from Jan 1990 to Dec 2024 about social assistance, health, employment, and USA.

  4. F

    All Employees: Education and Health Services: General Medical and Surgical...

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2025
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    (2025). All Employees: Education and Health Services: General Medical and Surgical Hospitals in Gary, IN (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU18238446562210001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Gary
    Description

    Graph and download economic data for All Employees: Education and Health Services: General Medical and Surgical Hospitals in Gary, IN (MD) (SMU18238446562210001SA) from Jan 1990 to Dec 2024 about surgical, hospitals, medical, health, employment, and USA.

  5. T

    All Employees: Health Care and Social Assistance in Gary, IN (MD)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2020
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    TRADING ECONOMICS (2020). All Employees: Health Care and Social Assistance in Gary, IN (MD) [Dataset]. https://tradingeconomics.com/united-states/all-employees-health-care-and-social-assistance-in-gary-in-md-thous-of-persons-fed-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Gary, Indiana
    Description

    All Employees: Health Care and Social Assistance in Gary, IN (MD) was 43.80000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: Health Care and Social Assistance in Gary, IN (MD) reached a record high of 44.40000 in January of 2019 and a record low of 23.10000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Health Care and Social Assistance in Gary, IN (MD) - last updated from the United States Federal Reserve on October of 2025.

  6. T

    All Employees: Education and Health Services: Health Care and Social...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 1, 2020
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    TRADING ECONOMICS (2020). All Employees: Education and Health Services: Health Care and Social Assistance in Gary, IN (MD) [Dataset]. https://tradingeconomics.com/united-states/all-employees-health-care-and-social-assistance-in-gary-in-md-thous-of-persons-sa-fed-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 1, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Indiana, Gary
    Description

    All Employees: Education and Health Services: Health Care and Social Assistance in Gary, IN (MD) was 45.43707 Thous. of Persons in December of 2024, according to the United States Federal Reserve. Historically, All Employees: Education and Health Services: Health Care and Social Assistance in Gary, IN (MD) reached a record high of 45.43707 in December of 2024 and a record low of 22.68386 in May of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Education and Health Services: Health Care and Social Assistance in Gary, IN (MD) - last updated from the United States Federal Reserve on November of 2025.

  7. F

    All Employees: Education and Health Services: Private Education and Health...

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2025
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    (2025). All Employees: Education and Health Services: Private Education and Health Services in Gary, IN (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU18238446500000001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Gary
    Description

    Graph and download economic data for All Employees: Education and Health Services: Private Education and Health Services in Gary, IN (MD) (SMU18238446500000001SA) from Jan 1990 to Dec 2024 about health, education, services, employment, and USA.

  8. d

    Cause of Death Data

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Girosi, Frederico; King, Gary (2023). Cause of Death Data [Dataset]. http://doi.org/10.7910/DVN/ZVN8XQ
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Girosi, Frederico; King, Gary
    Description

    We introduce a new framework for forecasting age-sex-country-cause-specific mortality rates that incorporates considerably more information, and thus has the potential to forecast much better, than any existing approach. Mortality forecasts are used in a wide variety of academic fields, and for global and national health policy making, medical and pharmaceutical research, and social security and retirement planning. As it turns out, the tools we developed in pursuit of this goal also have broader statistical implications, in addition to their use for forecasting mortality or other variables with similar statistical properties. First, our methods make it possible to include different explanatory variables in a time series regression for each cross-section, while still borrowing strength from one regression to improve the estimation of all. Second, we show that many existing Bayesian (hierarchi cal and spatial) models with explanatory variables use prior densities that incorrectly formalize prior knowledge. Many demographers and public health researchers have fortuitously avoided this problem so prevalent in other fields by using prior knowledge only as an ex post check on empirical results, but this approach excludes considerable information from their models. We show how to incorporate this demographic knowledge into a model in a statistically appropriate way. Finally, we develop a set of tools useful for developing models with Bayesian priors in the presence of partial prior ignorance. This approach also provides many of the attractive features claimed by the empirical Bayes approach, but fully within the standard Bayesian theory of inference. See also: Mortality Studies , Event Counts and Durations

  9. T

    All Employees: Health Care: General Medical and Surgical Hospitals in Gary,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 2, 2021
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    TRADING ECONOMICS (2021). All Employees: Health Care: General Medical and Surgical Hospitals in Gary, IN (MD) [Dataset]. https://tradingeconomics.com/united-states/all-employees-health-care-general-medical-and-surgical-hospitals-in-gary-in-md-thous-of-persons-fed-data.html
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 2, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Gary
    Description

    All Employees: Health Care: General Medical and Surgical Hospitals in Gary, IN (MD) was 13.10000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: Health Care: General Medical and Surgical Hospitals in Gary, IN (MD) reached a record high of 14.00000 in January of 2019 and a record low of 10.40000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Health Care: General Medical and Surgical Hospitals in Gary, IN (MD) - last updated from the United States Federal Reserve on November of 2025.

  10. H

    Replication data for: The Future of Death in America

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Nov 17, 2016
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    Gary King; Samir Soneji (2016). Replication data for: The Future of Death in America [Dataset]. http://doi.org/10.7910/DVN/IEANXM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 17, 2016
    Dataset provided by
    Harvard Dataverse
    Authors
    Gary King; Samir Soneji
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/12.2/customlicense?persistentId=doi:10.7910/DVN/IEANXMhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/12.2/customlicense?persistentId=doi:10.7910/DVN/IEANXM

    Area covered
    United States
    Description

    Population mortality forecasts are widely used for allocating public health expenditures, setting research priorities, and evaluating the viability of public pensions, private pensions, and health care financing systems. In part because existing methods seem to forecast worse when based on more information, most forecasts are still based on simple linear extrapolations that ignore known biological risk factors and other prior information. We adapt a Bayesian hierarchical forecasting model capable of including more known health and demographic information than has previously been possible. This leads to the first age- and sex-specific forecasts of American mortality that simultaneously incorporate, in a formal statistical model, the effects of the recent rapid increase in obesity, the steady decline in tobacco consumption, and the well known patterns of smooth mortality age profiles and time trends. Formally including new information in forecasts can matter a great deal. For example, we estimate an increase in male life expectancy at birth from 76.2 years in 2010 to 79.9 years in 2030, which is 1.8 years greater than the U.S. Social Security Administration projection and 1.5 years more than U.S. Census projection. For females, we estimate more modest gains in life expectancy at birth over the next twenty years from 80.5 years to 81.9 years, which is virtually identical to the Social Security Administration projection and 2.0 years less than U.S. Census projections. We show that these patterns are also likely to greatly affect the aging American population structure. We offer an easy-to-use approach so that researchers can include other sources of information and potentially improve on our forecasts too. Website See also: Mortality Studies

  11. o

    Data from: Relational practice in health, education, criminal justice, and...

    • ordo.open.ac.uk
    bin
    Updated Feb 19, 2025
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    Gary Lamph; Rebecca Nowland; Paul Boland; Jayn Pearson; Catriona Connell; Vanessa Jones; Ellie Wildbore; Danielle L Christian; Catherine Harris; Joanne Ramsden; Kathryn Gardner; Nicola Graham-Kevan; Mick McKeown (2025). Relational practice in health, education, criminal justice, and social care: a scoping review [Dataset]. http://doi.org/10.6084/m9.figshare.c.6880744.v1
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    binAvailable download formats
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    The Open University
    Authors
    Gary Lamph; Rebecca Nowland; Paul Boland; Jayn Pearson; Catriona Connell; Vanessa Jones; Ellie Wildbore; Danielle L Christian; Catherine Harris; Joanne Ramsden; Kathryn Gardner; Nicola Graham-Kevan; Mick McKeown
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background Establishing and maintaining relationships and ways of connecting and being with others is an important component of health and wellbeing. Harnessing the relational within caring, supportive, educational, or carceral settings as a systems response has been referred to as relational practice. Practitioners, people with lived experience, academics and policy makers, do not yet share a well-defined common understanding of relational practice. Consequently, there is potential for interdisciplinary and interagency miscommunication, as well as the risk of policy and practice being increasingly disconnected. Comprehensive reviews are needed to support the development of a coherent shared understanding of relational practice. MethodThis study uses a scoping review design providing a scope and synthesis of extant literature relating to relational practice focussing on organisational and systemic practice. The review aimed to map how relational practice is used, defined and understood across health, criminal justice, education and social work, noting any impacts and benefits reported. Searches were conducted on 8 bibliographic databases on 27 October 2021. English language articles were included that involve/discuss practice and/or intervention/s that prioritise interpersonal relationships in service provision, in both external (organisational contexts) and internal (how this is received by workers and service users) aspects. Results A total of 8010 relevant articles were identified, of which 158 met the eligibility criteria and were included in the synthesis. Most were opinion-based or theoretical argument papers (n = 61, 38.60%), with 6 (3.80%) critical or narrative reviews. A further 27 (17.09%) were categorised as case studies, focussing on explaining relational practice being used in an organisation or a specific intervention and its components, rather than conducting an evaluation or examination of the effectiveness of the service, with only 11 including any empirical data. Of the included empirical studies, 45 were qualitative, 6 were quantitative, and 9 mixed methods studies. There were differences in the use of terminology and definitions of relational practice within and across sectors. Conclusion Although there may be implicit knowledge of what relational practice is the research field lacks coherent and comprehensive models. Despite definitional ambiguities, a number of benefits are attributed to relational practices. Systematic review registration PROSPERO CRD42021295958

  12. f

    Data from: Factors That Affect Legionella Positivity in Healthcare Building...

    • figshare.com
    txt
    Updated Jun 10, 2023
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    Shantini D. Gamage; Chetan Jinadatha; John D. Coppin; Stephen M. Kralovic; Alan Bender; Meredith Ambrose; Brooke K. Decker; Aaron S. DeVries; Michihiko Goto; Oleh Kowalskyj; Angela L. Maistros; Vincent Rizzo; Loretta A. Simbartl; Richard J. Watson; Gary A. Roselle (2023). Factors That Affect Legionella Positivity in Healthcare Building Water Systems from a Large, National Environmental Surveillance Initiative [Dataset]. http://doi.org/10.1021/acs.est.2c02194.s002
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    txtAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    ACS Publications
    Authors
    Shantini D. Gamage; Chetan Jinadatha; John D. Coppin; Stephen M. Kralovic; Alan Bender; Meredith Ambrose; Brooke K. Decker; Aaron S. DeVries; Michihiko Goto; Oleh Kowalskyj; Angela L. Maistros; Vincent Rizzo; Loretta A. Simbartl; Richard J. Watson; Gary A. Roselle
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Legionella growth in healthcare building water systems can result in legionellosis, making water management programs (WMPs) important for patient safety. However, knowledge is limited on Legionella prevalence in healthcare buildings. A dataset of quarterly water testing in Veterans Health Administration (VHA) healthcare buildings was used to examine national environmental Legionella prevalence from 2015 to 2018. Bayesian hierarchical logistic regression modeling assessed factors influencing Legionella positivity. The master dataset included 201,146 water samples from 814 buildings at 168 VHA campuses. Overall Legionella positivity over the 4 years decreased from 7.2 to 5.1%, with the odds of a Legionella-positive sample being 0.94 (0.90–0.97) times the odds of a positive sample in the previous quarter for the 16 quarters of the 4 year period. Positivity varied considerably more at the medical center campus level compared to regional levels or to the building level where controls are typically applied. We found higher odds of Legionella detection in older buildings (OR 0.92 [0.86–0.98] for each more recent decade of construction), in taller buildings (OR 1.20 [1.13–1.27] for each additional floor), in hot water samples (O.R. 1.21 [1.16–1.27]), and in samples with lower residual biocide concentrations. This comprehensive healthcare building review showed reduced Legionella detection in the VHA healthcare system over time. Insights into factors associated with Legionella positivity provide information for healthcare systems implementing WMPs and for organizations setting standards and regulations.

  13. H

    Replication Data for: Identifying Human Health Risk from Mining in Sierra...

    • dataverse.harvard.edu
    Updated Jan 28, 2021
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    Richard Marcantonio; Sean Field; Papanie Bai Sesay; Gary Lamberti (2021). Replication Data for: Identifying Human Health Risk from Mining in Sierra Leone, Africa [Dataset]. http://doi.org/10.7910/DVN/LUBKLX
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 28, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Richard Marcantonio; Sean Field; Papanie Bai Sesay; Gary Lamberti
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Africa, Sierra Leone
    Description

    Replication data for probabilistic risk assessment in "Identifying Human Health Risk from Mining in Sierra Leone, Africa".

  14. f

    Data Sheet 1_Perceptions and attitudes toward palliative care among...

    • figshare.com
    docx
    Updated Oct 9, 2025
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    Feras Haddad; Gary E. Day; Sybil George; Brijesh Sathian; Hanadi Al-Hamad; Essa Al-Sulaiti (2025). Data Sheet 1_Perceptions and attitudes toward palliative care among healthcare professionals in Qatar’s home care setting.docx [Dataset]. http://doi.org/10.3389/fmed.2025.1678462.s001
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    docxAvailable download formats
    Dataset updated
    Oct 9, 2025
    Dataset provided by
    Frontiers
    Authors
    Feras Haddad; Gary E. Day; Sybil George; Brijesh Sathian; Hanadi Al-Hamad; Essa Al-Sulaiti
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Qatar
    Description

    IntroductionPalliative care (PC) is an emerging concept in the Middle East, with Qatar lacking formalized home-based services until the 2021 Doha declaration. This qualitative study addresses a gap in the literature by exploring home healthcare service (HHCS) staff perceptions, attitudes, and challenges in delivering PC in Qatar’s home setting, aiming to inform service development and enhance end-of-life care accessibility.MethodsUsing Braun and Clarke’s thematic analysis approach, semi-structured interviews were conducted with 13 purposively sampled HHCS staff from various disciplines (e.g., physicians, nurses, pharmacists). Interviews, lasting approximately 30 min each, were audio-recorded via Microsoft Teams, transcribed, and analyzed with QualCoder software to identify codes, sub-themes, and major themes.ResultsFour key themes emerged: (1) patient-centered care and comfort, emphasizing pain-free management, quality of life, and respecting patient/family wishes; (2) challenges and barriers, including narcotic drug access, community acceptance, and cultural/religious considerations; (3) communication and supportive services, highlighting clear channels and psychosocial/spiritual support; and (4) training and resources, stressing staff education, emotional support, and policy revisions.DiscussionFindings reveal unique Qatar-specific obstacles, such as regulatory restrictions on narcotics and cultural norms affecting death at home, while offering opportunities to improve training, policies, and awareness. These insights are crucial for integrating culturally sensitive PC into home-based systems, potentially reducing hospital burdens and aligning with global aging trends.

  15. H

    Replication Data for: Dinger, Stein, Zhao Gov 2001 (Fall 2022) Replication...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Nov 30, 2022
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    Dorit Stein (2022). Replication Data for: Dinger, Stein, Zhao Gov 2001 (Fall 2022) Replication of Solis et al. 2021 [Dataset]. http://doi.org/10.7910/DVN/HJZZKI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Dorit Stein
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This code was created by Tai Dinger, Dorit Stein, and Lavinia Zhao as part of the replication assignment in Gary King's Gov 2001 class, Fall 2022 at Harvard University. We replicated the paper "Solís Arce JS, Warren SS, Meriggi NF, Scacco A, McMurry N, Voors M, Syunyaev G, Malik AA, Aboutajdine S, Adeojo O, Anigo D. COVID-19 vaccine acceptance and hesitancy in low-and middle-income countries. Nature medicine. 2021 Aug;27(8):1385-94"

  16. Data from: Polychlorinated biphenyl exposure and DNA methylation in the...

    • tandf.figshare.com
    pptx
    Updated May 31, 2023
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    Gary S. Pittman; Xuting Wang; Michelle R. Campbell; Sherry J. Coulter; James R. Olson; Marian Pavuk; Linda S. Birnbaum; Douglas A. Bell (2023). Polychlorinated biphenyl exposure and DNA methylation in the Anniston Community Health Survey [Dataset]. http://doi.org/10.6084/m9.figshare.9975911.v1
    Explore at:
    pptxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Gary S. Pittman; Xuting Wang; Michelle R. Campbell; Sherry J. Coulter; James R. Olson; Marian Pavuk; Linda S. Birnbaum; Douglas A. Bell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Anniston, Alabama was home to a major polychlorinated biphenyl (PCB) production facility from 1929 until 1971. The Anniston Community Health Survey I and II (ACHS-I 2005–2007, ACHS-II 2013–2014) were conducted to explore the effects of PCB exposures. In this report we examined associations between PCB exposure and DNA methylation in whole blood using EPIC arrays (ACHS-I, n = 518; ACHS-II, n = 299). For both cohorts, 35 PCBs were measured in serum. We modelled methylation versus PCB wet-weight concentrations for: the sum of 35 PCBs, mono-ortho substituted PCBs, di-ortho substituted PCBs, tri/tetra-ortho substituted PCBs, oestrogenic PCBs, and antiestrogenic PCBs. Using robust multivariable linear regression, we adjusted for age, race, sex, smoking, total lipids, and six blood cell-type percentages. We carried out a two-stage analysis; discovery in ACHS-I followed by replication in ACHS-II. In ACHS-I, we identified 28 associations (17 unique CpGs) at p ≤ 6.70E-08 and 369 associations (286 unique CpGs) at FDR p ≤ 5.00E-02. A large proportion of the genes have been observed to interact with PCBs or dioxins in model studies. Among the 28 genome-wide significant CpG/PCB associations, 14 displayed replicated directional effects in ACHS-II; however, only one in ACHS-II was statistically significant at p ≤ 1.70E-04. While we identified many novel CpGs significantly associated with PCB exposures in ACHS-I, the differential methylation was modest and the effect was attenuated seven years later in ACHS-II, suggesting a lack of persistence of the associations between PCB exposures and altered DNA methylation in blood cells.

  17. T

    Chicago-Gary-Kenosha, IL-IN-WI (CMSA) - Consumer Price Index for All Urban...

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Chicago-Gary-Kenosha, IL-IN-WI (CMSA) - Consumer Price Index for All Urban Consumers: Services Less Medical Care Services in Chicago-Naperville-Elgin, IL-IN-WI (CBSA) [Dataset]. https://tradingeconomics.com/united-states/consumer-price-index-for-all-urban-consumers-services-less-medical-care-services-in-chicago-gary-kenosha-il-in-wi-cmsa-index-1982-84-100-fed-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Kenosha, Wisconsin, Chicago, Illinois
    Description

    Chicago-Gary-Kenosha, IL-IN-WI (CMSA) - Consumer Price Index for All Urban Consumers: Services Less Medical Care Services in Chicago-Naperville-Elgin, IL-IN-WI (CBSA) was 383.90400 Index 1982-84=100 in September of 2025, according to the United States Federal Reserve. Historically, Chicago-Gary-Kenosha, IL-IN-WI (CMSA) - Consumer Price Index for All Urban Consumers: Services Less Medical Care Services in Chicago-Naperville-Elgin, IL-IN-WI (CBSA) reached a record high of 383.90400 in September of 2025 and a record low of 29.20000 in February of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for Chicago-Gary-Kenosha, IL-IN-WI (CMSA) - Consumer Price Index for All Urban Consumers: Services Less Medical Care Services in Chicago-Naperville-Elgin, IL-IN-WI (CBSA) - last updated from the United States Federal Reserve on November of 2025.

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TRADING ECONOMICS (2020). All Employees: Education and Health Services in Gary, IN (MD) [Dataset]. https://tradingeconomics.com/united-states/all-employees-education-and-health-services-in-gary-in-md-thous-of-persons-fed-data.html

All Employees: Education and Health Services in Gary, IN (MD)

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xml, csv, excel, jsonAvailable download formats
Dataset updated
May 31, 2020
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
Gary, Indiana
Description

All Employees: Education and Health Services in Gary, IN (MD) was 49.00000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: Education and Health Services in Gary, IN (MD) reached a record high of 49.80000 in January of 2017 and a record low of 27.60000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Education and Health Services in Gary, IN (MD) - last updated from the United States Federal Reserve on November of 2025.

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