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An Intersectional Analysis of Health Inequalities and Vulnerabilities During the Covid-19 Pandemic
Sophiahemmet University, Stockholm (SWE).
University West, Department of Health Sciences, Section for nursing - graduate level. (LOVHH)ORCID iD: 0000-0002-0335-3472
2023 (English)In: Responsible Management of Shifts in Work Modes: Values for Post Pandemic Sustainability, Volume 2 / [ed] Kemi Ogunyemi, Adaora I. Onaga, Emerald Group Publishing Limited, 2023, p. 109-118Chapter in book (Refereed)
Abstract [en]

This chapters discusses the power structures affecting access to healthcare and the quality of received care including factors like gender, ethnicity, social and economic status among others from an intersectional perspective. Structural changes are necessary to decrease the health inequalities and vulnerabilities during the pandemic. An intersectional approach helps to display the interactions of different power structures and social categories which put people at differential risk of infection and/or mortality of COVID-19. The intersectional approach should be used not only to understand the pandemic impact on people but also when planning the healthcare policies, care plans and support services.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2023. p. 109-118
Keywords [en]
COVID-19 pandemic, health inequalities, intersectional analysis, ethnicity, gender, socioeconomic context
National Category
Nursing
Research subject
NURSING AND PUBLIC HEALTH SCIENCE, Nursing science
Identifiers
URN: urn:nbn:se:hv:diva-19626DOI: 10.1108/978-1-80262-723-720221011Scopus ID: 2-s2.0-85153427512ISBN: 9781802627244 (print)ISBN: 9781802627237 (electronic)OAI: oai:DiVA.org:hv-19626DiVA, id: diva2:1732655
Available from: 2023-01-31 Created: 2023-01-31 Last updated: 2024-05-17Bibliographically approved

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Eriksson, Henrik

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf