202
Views
2
CrossRef citations to date
0
Altmetric
Research Article

From fearful to hopeful: A thematic content analysis of COVID-19 survivors’ YouTube videos

ORCID Icon, ORCID Icon, ORCID Icon, , , & show all
Pages 475-492 | Received 02 Jan 2022, Accepted 23 Mar 2023, Published online: 17 Apr 2023
 

Abstract

COVID-19 survivors experienced a spectrum of emotions as a result of surviving the said disease. Employing thematic content analysis, the researchers characterized the various emotional manifestations among recovered COVID-19 patients, which are crucial indicators of their mental well-being postinfection. From March 2020 to June 2021, data was collated from 31 Filipino COVID-19 Survivors’ YouTube videos. 51.61% of the videos were posted in 2020 and 48.39% were posted in 2021 where 70.97% of the survivors were female while 29.03% were male. 579 primary codes emerged and were narrowed down into sixteen themes where Hope (18.83%) arose as the most predominant emotion followed by Gratitude (14.68%), Joy and Relief (14.16%), Faith (11.57%), Plight Response (10.88%), Sadness (10.88%), Fear (6.39%), and nine others (12.61%).

Acknowledgments

We would like to dedicate this paper to our friend and co-author Chastine Chloie G. Gantuangco who battled cancer and is no longer with us. You inspired us to finish this paper and we could not have done it without you.

Disclosure statement

The authors declare that there are no competing interests to report.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 281.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.