Evidence map›Paper›PMID 35578292›Full record

ArticleInternational journal for equity in health2022

COVID-19 as a social disease: qualitative analysis of COVID-19 prevention needs, impact of control measures and community responses among racialized/ethnic minorities in Antwerp, Belgium.

Christiana Nöstlinger, Ella Van Landeghem, Jef Vanhamel, Anke Rotsaert, Lazare Manirankunda, Charles Ddungu, Thijs Reyniers, Deogratias Katsuva, Jana Vercruyssen, Stef Dielen and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Christiana NöstlingerDepartment of Public Health, Antwerp, Belgium. cnoestlinger@itg.be.
Ella Van LandeghemDepartment of Public Health, Antwerp, Belgium.
Jef VanhamelDepartment of Public Health, Antwerp, Belgium.
Anke RotsaertDepartment of Public Health, Antwerp, Belgium.
Lazare ManirankundaDepartment of Public Health, Antwerp, Belgium.
Charles DdunguDepartment of Public Health, Antwerp, Belgium.
Thijs ReyniersDepartment of Public Health, Antwerp, Belgium.
Deogratias KatsuvaDepartment of Public Health, Antwerp, Belgium.
Jana VercruyssenDepartment of Public Health, Antwerp, Belgium.
Stef DielenDepartment of Public Health, Antwerp, Belgium.
Marie MeudecDepartment of Public Health, Antwerp, Belgium.
Province of Antwerp · BEInstituut voor Tropische Geneeskunde · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn high income countries, racialized/ethnic minorities are disproportionally affected by COVID-19. Despite the established importance of community involvement in epidemic preparedness, we lack in-depth understanding of these communities' experiences with and responses to COVID-19. We explored information and prevention needs, coping mechanisms with COVID-19 control measures and their impact on lived experiences among selected racialized/ethnic minority communities.

methodsThis qualitative rapid assessment conducted in Antwerp/Belgium used an interpretative and participatory approach. We included migrant communities with geographic origins ranging from Sub-Saharan Africa, North-Africa to the Middle East, Orthodox Jewish communities and professional community workers. Data were collected between May 2020-May 2021 through key informant-, in-depth interviews and group discussions (N = 71). Transcripts were analyzed inductively, adopting a reflexive thematic approach. A community advisory board provided feedback throughout the research process.

resultsParticipants indicated the need for tailored information in terms of language and timing. At the start of the epidemic, they perceived official public health messages as insufficient to reach all community members. Information sources included non-mainstream (social) media and media from home countries, hampering a nuanced understanding of virus transmission mechanisms and local and national protection measures. Participants felt the measures' most negative impact on their livelihoods (e.g. loss of income, disruption of social and immigration support). Economic insecurity triggered chronic stress and fears at individual and family level. High degrees of distrust in authorities and anticipated stigma were grounded in previously experienced racial and ethnic discrimination. Community-based initiatives mitigated this impact, ranging from disseminating translated and tailored information, providing individual support, and successfully reaching community members with complex needs (e.g. the elderly, digitally illiterate people, those with small social networks or irregular legal status).

conclusionStudy participants' narratives showed how coping with and responding to COVID-19 was strongly intertwined with socio-economic and ethnic/racial characteristics. This justifies conceptualizing COVID-19 a social disease. At the same time, communities demonstrated resilience in responding to these structural vulnerabilities. From a health equity perspective, we provide concrete policy recommendations grounded in insights into communities' structural vulnerabilities and resilience.

Indexed as

COVID-19AgedBelgiumEthnic and Racial MinoritiesEthnicityHumansMinority GroupsCommunity responseCOVID-19ImmigrantsImpact of control measuresRacialized/ethnic minorities

Identifiers

PMID35578292
PMCPMC9108705
OpenAlexW4280541214

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.