Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Evidence of COVID-19 fatalities in Swedish neighborhoods from a full population study
Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).ORCID iD: 0000-0001-5722-2016
School of Sustainability, College of Global Futures, Arizona State University, Tempe, AZ, United States.
Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).ORCID iD: 0000-0002-4560-1905
Mansueto Institute for Urban Innovation, University of Chicago, Chicago, IL, United States.
2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1Article in journal (Refereed) Published
Abstract [en]

The COVID-19 pandemic has highlighted a debate about whether marginalized communities suffered the disproportionate brunt of the pandemic's mortality. Empirical studies addressing this question typically suffer from statistical uncertainties and potential biases associated with uneven and incomplete reporting. We use geo-coded micro-level data for the entire population of Sweden to analyze how local neighborhood characteristics affect the likelihood of dying with COVID-19 at individual level, given the individual's overall risk of death. We control for several individual and regional characteristics to compare the results in specific communities to overall death patterns in Sweden during 2020. When accounting for the probability to die of any cause, we find that individuals residing in socioeconomically disadvantaged neighborhoods were not more likely to die with COVID-19 than individuals residing elsewhere. Importantly, we do find that individuals show a generally higher probability of death in these neighborhoods. Nevertheless, ethnicity is an important explanatory factor for COVID-19 deaths for foreign-born individuals, especially from East Africa, who are more likely to pass away regardless of residential neighborhood.

Place, publisher, year, edition, pages
Springer, 2024. Vol. 14, no 1
Keywords [en]
Africa, Eastern, COVID-19, Humans, Pandemics, Research Design, Residence Characteristics, Sweden, Africa, coronavirus disease 2019, human, methodology, pandemic
National Category
Public Health, Global Health and Social Medicine Economics
Identifiers
URN: urn:nbn:se:hj:diva-63612DOI: 10.1038/s41598-024-52988-3ISI: 001158938000004PubMedID: 38316904Scopus ID: 2-s2.0-85184403192Local ID: HOA;intsam;938147OAI: oai:DiVA.org:hj-63612DiVA, id: diva2:1838841
Available from: 2024-02-19 Created: 2024-02-19 Last updated: 2025-02-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopusPublisher Correction

Authority records

Wixe, SofiaMellander, Charlotta

Search in DiVA

By author/editor
Wixe, SofiaMellander, Charlotta
By organisation
JIBS, EconomicsJIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE)
In the same journal
Scientific Reports
Public Health, Global Health and Social MedicineEconomics

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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