2 datasets found
  1. An examination of the stochastic distribution of spatial accessibility to...

    • figshare.com
    txt
    Updated Jun 14, 2023
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    Jinwoo Park; Daniel W. Goldberg (2023). An examination of the stochastic distribution of spatial accessibility to intensive care unit (ICU) beds during the COVID-19 pandemic: a case study of the Greater Houston area of Texas [Dataset]. http://doi.org/10.6084/m9.figshare.19165670.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Jinwoo Park; Daniel W. Goldberg
    License

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

    Area covered
    Greater Houston, Texas
    Description

    This dataset and code are presented to explain a manuscript entitled "An examination of the stochastic distribution of spatial accessibility to intensive care unit (ICU) beds during the COVID-19 pandemic: a case study of the Greater Houston area of Texas", which is under review in Geographical Analysis. To run this code properly, two zip files (data and result) should be unzipped in the same directory with the other files (*.ipynb, *.py, and *.jpg).

  2. f

    Supplementary Material for: Cerebrovascular Disease in Patients with...

    • karger.figshare.com
    docx
    Updated May 31, 2023
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    Reddy S.T.; Garg T.; Shah C.; Nascimento F.A.; Imran R.; Kan P.; Bowry R.; Gonzales N.; Barreto A.; Kumar A.; Volpi J.; Misra V.; Chiu D.; Gadhia R.; Savitz S.I. (2023). Supplementary Material for: Cerebrovascular Disease in Patients with COVID-19: A Review of the Literature and Case Series [Dataset]. http://doi.org/10.6084/m9.figshare.12452603.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Karger Publishers
    Authors
    Reddy S.T.; Garg T.; Shah C.; Nascimento F.A.; Imran R.; Kan P.; Bowry R.; Gonzales N.; Barreto A.; Kumar A.; Volpi J.; Misra V.; Chiu D.; Gadhia R.; Savitz S.I.
    License

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

    Description

    COVID-19 has been associated with a hypercoagulable state causing cardiovascular and neurovascular complications. To further characterize cerebrovascular disease (CVD) in COVID-19, we review the current literature of published cases and additionally report the clinical presentation, laboratory and diagnostic testing results of 12 cases with COVID-19 infection and concurrent CVD from two academic medical centers in Houston, TX, USA, between March 1 and May 10, 2020. To date, there are 12 case studies reporting 47 cases of CVD in COVID-19. However, only 4 small case series have described the clinical and laboratory findings in patients with COVID-19 and concurrent stroke. Viral neurotropism, endothelial dysfunction, coagulopathy and inflammation are plausible proposed mechanisms of CVD in COVID-19 patients. In our case series of 12 patients, 10 patients had an ischemic stroke, of which 1 suffered hemorrhagic transformation and two had intracerebral hemorrhage. Etiology was determined to be embolic without a clear cause identified in 6 ischemic stroke patients, while the remaining had an identifiable source of stroke. The majority of the patients had elevated inflammatory markers such as D-dimer and interleukin-6. In patients with embolic stroke of unclear etiology, COVID-19 may have played a direct or indirect role in the processes that eventually led to the strokes while in the remaining cases, it is unclear if infection contributed partially or was an incidental finding.

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Jinwoo Park; Daniel W. Goldberg (2023). An examination of the stochastic distribution of spatial accessibility to intensive care unit (ICU) beds during the COVID-19 pandemic: a case study of the Greater Houston area of Texas [Dataset]. http://doi.org/10.6084/m9.figshare.19165670.v1
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An examination of the stochastic distribution of spatial accessibility to intensive care unit (ICU) beds during the COVID-19 pandemic: a case study of the Greater Houston area of Texas

Explore at:
txtAvailable download formats
Dataset updated
Jun 14, 2023
Dataset provided by
figshare
Figsharehttp://figshare.com/
Authors
Jinwoo Park; Daniel W. Goldberg
License

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

Area covered
Greater Houston, Texas
Description

This dataset and code are presented to explain a manuscript entitled "An examination of the stochastic distribution of spatial accessibility to intensive care unit (ICU) beds during the COVID-19 pandemic: a case study of the Greater Houston area of Texas", which is under review in Geographical Analysis. To run this code properly, two zip files (data and result) should be unzipped in the same directory with the other files (*.ipynb, *.py, and *.jpg).

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