5 datasets found
  1. f

    Life expectancy at birth and average annual all-cause, cause-specific, and...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Abdulrahman M. El-Sayed; Melissa Tracy; Peter Scarborough; Sandro Galea (2023). Life expectancy at birth and average annual all-cause, cause-specific, and age-specific mortality rate per 100,000 among Arab ethnicity and non-Arab and non-Hispanic Whites in Michigan, 1990–2007 by ethnicity and gender. [Dataset]. http://doi.org/10.1371/journal.pone.0029185.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Abdulrahman M. El-Sayed; Melissa Tracy; Peter Scarborough; Sandro Galea
    License

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

    Description

    *Life expectancy at birth calculated using the life table method.∧Non-Arab and non-Hispanic White.

  2. COVID-19 death rates in the United States as of March 10, 2023, by state

    • statista.com
    Updated May 15, 2024
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    Statista (2024). COVID-19 death rates in the United States as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1109011/coronavirus-covid19-death-rates-us-by-state/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.

  3. f

    Data from: Baseline clinical characteristics.

    • plos.figshare.com
    xls
    Updated Mar 27, 2024
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    Francesco Moroni; Milan Seth; Hameem U. Changezi; Milind Karve; Dilip S. Arora; Manoj Sharma; Elizabeth Pielsticker; Aaron D. Berman; Daniel Lee; M. Imran Qureshi; Lorenzo Azzalini; Devraj Sukul; Hitinder S. Gurm (2024). Baseline clinical characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0297596.t002
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    xlsAvailable download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Francesco Moroni; Milan Seth; Hameem U. Changezi; Milind Karve; Dilip S. Arora; Manoj Sharma; Elizabeth Pielsticker; Aaron D. Berman; Daniel Lee; M. Imran Qureshi; Lorenzo Azzalini; Devraj Sukul; Hitinder S. Gurm
    License

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

    Description

    BackgroundMortality is the most devastating complication of percutaneous coronary interventions (PCI). Identifying the most common causes and mechanisms of death after PCI in contemporary practice is an important step in further reducing periprocedural mortality.ObjectivesTo systematically analyze the cause and circumstances of in-hospital mortality in a large, multi-center, statewide cohort.MethodsIn-hospital deaths after PCI occurring at 39 hospitals included in the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) between 2012 and 2014 were retrospectively reviewed using validated methods. A priori PCI-related mortality risk was estimated using the validated BMC2 model.ResultsA total of 1,163 deaths after PCI were included in the study. Mean age was 71±13 years, and 507 (44%) were women. Left ventricular failure was the most common cause of death (52% of cases). The circumstance of death was most commonly related to prior acute cardiovascular condition (61% of cases). Procedural complications were considered contributing to mortality in 235 (20%) cases. Death was rated as not preventable or slightly preventable in 1,045 (89.9%) cases. The majority of the deaths occurred in intermediate or high-risk patients, but 328 (28.2%) deaths occurred in low-risk patients (

  4. f

    Causes and circumstances of death, as adjudicated by reviewers.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Mar 27, 2024
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    Francesco Moroni; Milan Seth; Hameem U. Changezi; Milind Karve; Dilip S. Arora; Manoj Sharma; Elizabeth Pielsticker; Aaron D. Berman; Daniel Lee; M. Imran Qureshi; Lorenzo Azzalini; Devraj Sukul; Hitinder S. Gurm (2024). Causes and circumstances of death, as adjudicated by reviewers. [Dataset]. http://doi.org/10.1371/journal.pone.0297596.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Francesco Moroni; Milan Seth; Hameem U. Changezi; Milind Karve; Dilip S. Arora; Manoj Sharma; Elizabeth Pielsticker; Aaron D. Berman; Daniel Lee; M. Imran Qureshi; Lorenzo Azzalini; Devraj Sukul; Hitinder S. Gurm
    License

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

    Description

    Causes and circumstances of death, as adjudicated by reviewers.

  5. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Abdulrahman M. El-Sayed; Melissa Tracy; Peter Scarborough; Sandro Galea (2023). Life expectancy at birth and average annual all-cause, cause-specific, and age-specific mortality rate per 100,000 among Arab ethnicity and non-Arab and non-Hispanic Whites in Michigan, 1990–2007 by ethnicity and gender. [Dataset]. http://doi.org/10.1371/journal.pone.0029185.t002

Life expectancy at birth and average annual all-cause, cause-specific, and age-specific mortality rate per 100,000 among Arab ethnicity and non-Arab and non-Hispanic Whites in Michigan, 1990–2007 by ethnicity and gender.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 4, 2023
Dataset provided by
PLOS ONE
Authors
Abdulrahman M. El-Sayed; Melissa Tracy; Peter Scarborough; Sandro Galea
License

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

Description

*Life expectancy at birth calculated using the life table method.∧Non-Arab and non-Hispanic White.

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