Evidence map›Paper›PMID 40238417›Full record

ArticleInternational journal of environmental research and public health2025

COVID-19 Readmission Is Highest Among Refugees in Denmark.

Amar Ali Moussa, Marwa Mohammad, Andreas Halgreen Eiset, Signe Freja Storgaard, Christian Wejse

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amar Ali MoussaThe Research Unit for Global Health, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark.
Marwa MohammadThe Research Unit for Global Health, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark.
Andreas Halgreen EisetThe Research Unit for Global Health, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0002-5487-8359
Signe Freja StorgaardThe Research Unit for Global Health, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark.
Christian WejseThe Research Unit for Global Health, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0002-2534-2942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vulnerable groups, including certain immigrant populations, have faced higher COVID-19 incidence rates in several countries. This study addresses the gap in knowledge regarding disease severity and readmission odds among refugees, other immigrant groups, and native Danes. Using clinical data from 159 COVID-19-positive patients admitted to hospitals in the Central Denmark Region in 2020, this cross-sectional analysis compared clinical parameters at admission and 30-day readmission odds. The findings revealed no significant differences in clinical status upon admission between groups. Refugees (51.8%) and Others (41.7%) had fewer comorbidities than native Danes (61.2%). Native Danes were more frequently categorized with the highest Charlson Comorbidity Index (CCI) scores. Readmission prevalence was highest among Refugees (23.1%), followed by native Danes (17.0%) and Others (8.3%). After adjusting for age, sex, and CCI, Refugees had a readmission odds ratio (OR) of 1.88 (95% CI, 0.61-5.74) and Others had an OR of 0.61 (95% CI, 0.07-5.41) for readmission compared to native Danes, although this was not statistically significant. This study's significance lies in highlighting the distinct healthcare challenges faced by refugees during the pandemic. Its findings are beneficial for public health policymakers and healthcare professionals seeking to reduce readmission risks and improve COVID-19 outcomes for immigrant populations.

Indexed as

COVID-19Patient ReadmissionRefugeesAdolescentAdultAgedCross-Sectional StudiesDenmarkEmigrants and ImmigrantsFemaleHumansMaleMiddle AgedSARS-CoV-2Young AdultCOVID-19COVID-19 status at admissionmigrant healthreadmissionrefugee health

Identifiers

PMID40238417
PMCPMC11942441

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.