Article

Socioeconomic Position and the Cascade From SARS-CoV-2 Testing to COVID-19 Mortality: Population-Based Analysis of Swiss Surveillance Data

2021-05-25

Abstract excerpt

Background: The inverse care law states that disadvantaged populations need more health care than advantaged populations but receive less. Gaps in COVID-19 related health care and infection control are not well understood at present. We examined inequalities in health in the care cascade from testing for SARS-CoV-2 to COVID-19-related hospitalisation, ICU admission and death in Switzerland, a wealthy country stron...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 16de8d35-eef1-541e-8b4f-d90616cfc9b5
DOI: 10.2139/ssrn.3845990

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Socioeconomic Position and the Cascade From SARS-CoV-2 Testing to COVID-19 Mortality: Population-Based Analysis of Swiss Surveillance DataDOI 10.2139/ssrn.3845990Read

Geoepidemiology of COVID-19 hospitalisations and severity: impact of social deprivation and remote areas, in the south-eastern Region, FranceSemantic proximity Read

Socio-economic inequalities and the COVID-19 epidemic in France: territorial analyses by epidemic wave and by metropolitan areaSemantic proximity Read

COVID-19 and Public Health Restrictions Disproportionately Affected the Vulnerable: A Population Study in Sydney, AustraliaSemantic proximity Read

Evolution of COVID-19 mortality over time: results from the Swiss hospital surveillance system (CH-SUR)Semantic proximity Read

The predictive value of socioeconomic status and migration background for complicated lower respiratory tract infections in primary careSemantic proximity Read

Neighbourhood-level risk factors of COVID-19 incidence and mortalitySemantic proximity Read

Socioeconomic and comorbid factors affecting mortality and length of stay in COVID-19Semantic proximity Read

COVID-19 testing, infection and places of contamination in France, a national cross- sectional study, December 2021Semantic proximity Read

COVID-19 inequalities in England: a mathematical modelling study of transmission risk and clinical vulnerability by socioeconomic statusSemantic proximity Read

Socioeconomic position and mental health during the COVID-19 pandemic: a cross-sectional analysis of the CovidLife studySemantic proximity Read

Geo-social gradients in predicted COVID-19 prevalence and severity in Great Britain: results from 2,266,235 users of the COVID-19<i>Symptoms Tracker app</i>Semantic proximity Read