Predicting COVID-19 Cases in US Long-Term Care Facilities
eBook - PDF

Predicting COVID-19 Cases in US Long-Term Care Facilities

An Empirical Study Using Epidemiological Data

  1. 67 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Predicting COVID-19 Cases in US Long-Term Care Facilities

An Empirical Study Using Epidemiological Data

About this book

Master's Thesis from the year 2020 in the subject Nursing Science - Nursing Management, grade: 1.0, , language: English, abstract: The focus of this paper was to identify factors that increase the probability of COVID-19 cases in nursing homes and to provide an exemplary concept for the application of the findings using machine learning algorithms to allow future research to derive appropriate countermeasures in practice. The findings are based on 13,069 US nursing homes, and the results are mostly consistent with most recent studies around this topic. Thus, this study provides not only additional evidence for previously studied factors based on a larger population of nursing homes with a holistic approach but also complements these with features not yet examined, such as most importantly the competitive environment of a nursing home. The findings show evidence of a relationship between COVID-19 infections and fatalities and (1) the size of a nursing home, (2) a facility's age, (3) whether a nursing home is for-profit, (4) whether a nursing home is urban or rural, (5) the number of federal deficiencies, (6) the total amount of fines, (7) the concentration of residents with Medicaid, (8) the share of residents from a racial or ethnic minority, (9) the excess of beds in the respective county of a nursing home, (10) the number of infections per 100,000 people in a county, and (11) the number of deaths per 100,000 people in a county, (12) the occupancy rate, (13) the overall CMS facility rating, (14) the total reported RN staffing levels, (15) the total reported nurse staffing levels and (16) the Herfindahl Index.

Information

Publisher
GRIN Verlag
Year
2020
Edition
1
eBook ISBN
9783346292025
Subtopic
Nursing

Table of contents

    Trusted by 375,005 students

    Access to over 1.5 million titles for a fair monthly price.

    Study more efficiently using our study tools.

    Frequently asked questions

    Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription
    No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn how to download books offline
    Perlego offers two plans: Essential and Complete
    • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
    • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.5M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
    Both plans are available with monthly, semester, or annual billing cycles.
    We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1.5 million books across 990+ topics, we’ve got you covered! Learn about our mission
    Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more about Read Aloud
    Yes! You can use the Perlego app on both iOS and Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
    Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app
    Yes, you can access Predicting COVID-19 Cases in US Long-Term Care Facilities by Metin Baki in PDF and/or ePUB format, as well as other popular books in Medicine & Nursing. We have over 1.5 million books available in our catalogue for you to explore.