Evidence map›Paper›PMID 40973948›Full record

ArticleInfectious diseases of poverty2025

Area-level socioeconomic variables associated with territorial disparities in tuberculosis notification rates in metropolitan France: a Bayesian ecological analysis.

Camille Pelat, Anne Bernadou, Philippe Fraisse, Cyrille Delpierre, Yousra Kherabi, Jean-Paul Guthmann, Stéphanie Vandentorren

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Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Camille Pelat *Santé publique France, The national public health agency, Saint-Maurice, France. camille.pelat@santepubliquefrance.fr.ORCID http://orcid.org/0000-0001-5894-1901
Anne Bernadou *Santé publique France, The national public health agency-Nouvelle-Aquitaine, Bordeaux, France.
Philippe FraisseFrench National Network of Tuberculosis Control Centers, Strasbourg, France.
Cyrille DelpierreCenter for Epidemiology and Research in POPulation Health, National Institute of Health and Medical Research, Université de Toulouse, Toulouse, France.
Yousra KherabiInfectious and Tropical Diseases Department, Bichat-Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France.
Jean-Paul GuthmannSanté publique France, The national public health agency, Saint-Maurice, France.
Stéphanie VandentorrenSanté publique France, The national public health agency, Saint-Maurice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough France is considered a low tuberculosis (TB) incidence country, TB remains a significant public health issue in certain high-risk groups and geographic areas, potentially linked to socioeconomic determinants. This study aims to assess the associations between TB notification rates and area-level socioeconomic variables in metropolitan France.

methodsWe conducted an ecological spatial study using TB cases reported to the French national surveillance system from 2008 to 2019. Using Bayesian Poisson regression, we modeled TB case counts at the ZIP code level. Standardized notification rates were estimated through indirect standardization by age, sex, immigration status, and housing type. The model included ZIP code level socioeconomic variables and a spatial random effect to account for spatial autocorrelation and residual variations in notification rates, which may relate to territorial disparities in reporting completeness.

resultsThe study included 55,330 reported TB cases across 4478 of 5534 ZIP codes in metropolitan France. All tested socioeconomic variables showed varying associations with TB. In the multivariable model, an increase in population density from 'Low' to 'High' was associated with a 30% increase [95% credible interval (CrI): 21%, 38%] in standardized TB notification rates. An increase from the first to the ninth decile in the unemployment rate among those aged 15-64 was associated with a 28% increase (95% CrI: 19%, 37%). Similarly, an increase in the proportion of overcrowded households was associated with a 19% increase (95% CrI: 11%, 28%). Conversely, an increase in median household income was associated with a 7% decrease (95% CrI: 1%, 11%).

conclusionsOur findings suggest that TB notification rates are independently associated with material deprivation, such as unemployment and low income, as well as crowded settings, including overcrowded households and densely populated areas. Enhancing TB control in metropolitan France could involve targeted outreach programs for screening and treatment in materially deprived areas, characterized by high unemployment rates and low median incomes, and adopting a 'Health in All Policies' approach to address urban and household crowding.

Indexed as

Socioeconomic FactorsTuberculosisAdolescentAdultAgedBayes TheoremChildChild, PreschoolDisease NotificationFemaleFranceHumansIncidenceInfantMaleMiddle AgedArea-level socioeconomic variablesEcological studyHealth inequalityTuberculosis

Identifiers

PMID40973948
PMCPMC12447623

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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.