Evidence map›Paper›PMID 38895027›Full record

ArticlePublic health in practice (Oxford, England)2024

COVID-19 vaccination at a hospital in Paris: Spatial analyses and inverse equity hypothesis.

Valéry Ridde, Gaëlle André, Olivier Bouchaud, Emmanuel Bonnet

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Valéry RiddeUniversité Paris Cité, IRD, Inserm, Ceped, F-75006, Paris, France.
Gaëlle AndréMaster Carthagéo, University Paris 1 Panthéon-Sorbonne, UMR 215 Prodig, IRD, CNRS, AgroParisTech, 5, course of Humanities, F-93 322, Aubervilliers Cedex, France.
Olivier BouchaudHospital Avicenne-Assistance Publique hospitals de Paris and Université Sorbonne Paris Nord, F-93000, Bobigny, France.
Emmanuel BonnetIRD, UMR 215 Prodig, CNRS, Université Paris 1 Panthéon-Sorbonne, AgroParisTech, 5, course of Humanities, F-93 322, Aubervilliers Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vaccination against SARS-CoV-2 has been deployed in France since January 2021. Without specific action for different population subgroups, the inverse equity hypothesis postulates that people in the most deprived neighbourhoods will be the last to benefit. The article aims to study whether the inverse care law has been verified in the context of vaccination against SARS-CoV-2 from a vaccination centre of a hospital in the Paris region. Methods: We performed a spatial analysis using primary data from the vaccination centre of the Avicenne Hospital in Bobigny from January 8th to September 30 Results: 32,712 people were vaccinated at the study centre. Vaccination flow to the hospital shows that people living in the most disadvantaged areas were the last to be vaccinated. The number of people immunized according to the level of social deprivation then scales out with slightly more access to the vaccination centre for the most advantaged. The furthest have travelled more than 100 km, and more than 1h45 of transport time to get to this vaccination centre. Conclusion: The study confirms the inverse equity hypothesis and shows that vaccination preparedness strategies must consider equity issues. Public health interventions should be implemented according to proportionate universalism and use community health, health mediation, and outreach activities for more equity.

Indexed as

COVID-19EquityFranceMediationSpatial analysisVaccination

Identifiers

PMID38895027
PMCPMC11184437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.