Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis

Coronavirus disease 2019 (COVID-19) was declared a pandemic in March 2020, which led to the implementation of non-pharmaceutical interventions that had inadvertent physical, mental and social effects. The purpose of this retrospective study was to examine the experiences and responses of Canadians t...

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Autores principales: Abebe, Ruth G., Bakombo, Schwab, Konkle, Anne T. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965768/
https://www.ncbi.nlm.nih.gov/pubmed/36833891
http://dx.doi.org/10.3390/ijerph20043197
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author Abebe, Ruth G.
Bakombo, Schwab
Konkle, Anne T. M.
author_facet Abebe, Ruth G.
Bakombo, Schwab
Konkle, Anne T. M.
author_sort Abebe, Ruth G.
collection PubMed
description Coronavirus disease 2019 (COVID-19) was declared a pandemic in March 2020, which led to the implementation of non-pharmaceutical interventions that had inadvertent physical, mental and social effects. The purpose of this retrospective study was to examine the experiences and responses of Canadians to these interventions on Twitter using the Kübler-Ross Change Curve (KRCC) during the first six months of the pandemic. Tweets were analyzed using sentiment analysis, thematic content analysis and KRCC. The findings highlight that many Canadians attempted to adapt to the changes but had a predominantly negative outlook on policies due to the financial and social repercussions.
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spelling pubmed-99657682023-02-26 Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis Abebe, Ruth G. Bakombo, Schwab Konkle, Anne T. M. Int J Environ Res Public Health Article Coronavirus disease 2019 (COVID-19) was declared a pandemic in March 2020, which led to the implementation of non-pharmaceutical interventions that had inadvertent physical, mental and social effects. The purpose of this retrospective study was to examine the experiences and responses of Canadians to these interventions on Twitter using the Kübler-Ross Change Curve (KRCC) during the first six months of the pandemic. Tweets were analyzed using sentiment analysis, thematic content analysis and KRCC. The findings highlight that many Canadians attempted to adapt to the changes but had a predominantly negative outlook on policies due to the financial and social repercussions. MDPI 2023-02-11 /pmc/articles/PMC9965768/ /pubmed/36833891 http://dx.doi.org/10.3390/ijerph20043197 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Abebe, Ruth G.
Bakombo, Schwab
Konkle, Anne T. M.
Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis
title Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis
title_full Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis
title_fullStr Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis
title_full_unstemmed Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis
title_short Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis
title_sort understanding the response of canadians to the covid-19 pandemic using the kübler-ross model: twitter data analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965768/
https://www.ncbi.nlm.nih.gov/pubmed/36833891
http://dx.doi.org/10.3390/ijerph20043197
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