3 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
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    txtAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    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
    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. U.S. adults that took a staycation during COVID-19 as of August 2020, by...

    • statista.com
    Updated Aug 9, 2020
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    Statista (2020). U.S. adults that took a staycation during COVID-19 as of August 2020, by generation [Dataset]. https://www.statista.com/statistics/1228946/coronavirus-staycation-us-adults-by-generation/
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    Dataset updated
    Aug 9, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 9, 2020 - Aug 11, 2020
    Area covered
    United States
    Description

    An August 2020 survey revealed that ** percent of adults in the United States had taken a staycation during the coronavirus (COVID-19) pandemic. The generation with the highest share of respondents that had taken a staycation was Millennials, with ** percent. Comparatively, ** percent of Gen Z and ** percent of Baby Boomer respondents stated that this was the case. Meanwhile, one of the most common sources of staycation inspiration for U.S. travelers was listening to the opinions of friends and relatives.

    How familiar is the U.S. public with the term ‘staycation’?

    The term 'staycation’ is typically used to refer to a holiday spent in one's home country rather than abroad, or one spent at home and involving day trips to local attractions. During an August 2020 survey, over ** percent of respondents showed familiarity with the term ‘staycation’ in the United States Meanwhile, ** percent stated that they had never heard of this term before.

    What are the cheapest U.S. cities for a staycation?

    The coronavirus (COVID-19) pandemic created a number of obstacles for international travel. Staycations, as a result, became a practical alternative for many would-be international travelers. When considering metrics such as the price of a meal and beer, the cost of a one-way ticket on local transport, the average price of a * star hotel, the number of hotels, and the number of day trips in under ** dollars, two of the cheapest cities for a staycation in the U.S. as of October 2020 were Omaha (Nebraska) and Houston (Texas).

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

    • karger.figshare.com
    • datasetcatalog.nlm.nih.gov
    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
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Karger Publishershttp://www.karger.com/
    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
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
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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