Abstract
COVID-19 has dramatically changed human-to-human interactions from in-person to the nonhuman domain of virtual space. In January 2021, every 28 seconds one person died of COVID-19 in the United States. An average of 3,100 Americans died each day during the deadliest month of the pandemic. As of January 2023, the number of COVID-19 deaths in the USA surpassed 1.000.000 people. In hospitals, human-to-human interactions were often limited to seeing one's eyes behind the face shields, and respirator masks, and hearing a muffled voice, or sounds of the ventilators. In New York State 452 nurses died during the pandemic.
What does it mean to know the patient as a person during the COVID-19 pandemic?
Sigma Membership
Alpha Phi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Qualitative Research
Keywords:
COVID-19 Pandemic, Social Media Analysis, Personomics, Patient Care
Advisor
Steven Baumann
Second Advisor
Kathleen Nokes
Third Advisor
Elizabeth Cohn
Degree
PhD
Degree Grantor
The City University of New York
Degree Year
2024
Recommended Citation
Kaleta, Janusz A., "Knowing the patient as a person: Social media listening and Gadamerian analysis of nurses' expressions shared during the COVID-19 Global Health Pandemic" (2024). Dissertations. 1065.
https://www.sigmarepository.org/dissertations/1065
Rights Holder
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All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2024-03-26
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 30989500; ProQuest document ID: 2917982813. The author still retains copyright.