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"At Least until the Second Wave Comes…": A Twitter Analysis of the NHS and COVID-19 between March and June 2020.
McKay, Kathy; Wayland, Sarah; Ferguson, David; Petty, Jane; Kennedy, Eilis.
Afiliação
  • McKay K; Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool L69 3GL, UK.
  • Wayland S; Tavistock and Portman NHS Foundation Trust, London NW3 5BA, UK.
  • Ferguson D; School of Health, University of New England, Armidale 2350, Australia.
  • Petty J; Formerly, Faculty of Transdisciplinary Innovation, University of Technology Sydney, Sydney 2007, Australia.
  • Kennedy E; Tavistock and Portman NHS Foundation Trust, London NW3 5BA, UK.
Article em En | MEDLINE | ID: mdl-33918586
ABSTRACT
In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March-4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified (1) the dichotomies of 'clap for carers'; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article