Estimating years of life lost due to premature mortality at regional level in France in 2017, using a probabilistic redistribution approach

Bibliographic Data

ID15364603
AuthorsRomana Haneef (0000-0001-7741-0268, Santé Publique France, corresponding author), Aline Scohy (0000-0003-0510-5728, Sciensano (Belgium)), Nour Mahrouseh (0000-0002-1894-7847, University of Debrecen), Élise Coudin (0000-0003-0559-4162, Centre d'Épidémiologie sur les Causes Médicales de Décès), Panayotis Constantinou (0000-0003-4023-5915, l'Assurance Maladie), Antoine Rachas (0000-0001-9226-9071, l'Assurance Maladie), Tina Lesnik (National Institute of Public Health), Grant M A Wyper (0000-0003-2854-5822, University of Glasgow), Brecht Devleesschauwer (0000-0002-2867-6892, Ghent University)
Year2025
Volume25
Issue1
Pages2375-2375
Publication date2025-07-03
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-025-23559-6
PMID40611076
OpenAlexW4412008357
LanguageEN
References cited33

We quantified the full mortality burden for the first time in France at regional level, based on a new probabilistic redistribution method developed by researchers from Sciensano before COVID-19 pandemic. These estimates are important for future investigations on the contribution of social inequalities and risk factors to all-cause mortality in France with a focus on regional differences

Biostatistics · Environmental health · Probabilistic logic · Public health · Redistribution (election · Statistics · Demography · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Insurance, Mortality, Demography, Risk Management · Medicine · Epidemiology · Internal Medicine

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Open DOIOpen Access