ArticlePloS one2016
Geographical Heterogeneity of Multiple Sclerosis Prevalence in France.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Epidemiology of Multiple Sclerosis: Global, Regional, National and Sub-National-Level Estimates and Future Projections.Journal of epidemiology and global health · 2025Article
- Multiple sclerosis: emerging epidemiological trends and redefining the clinical course.The Lancet regional health. Europe · 2024Review
- Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France.Scientific reports · 2022Article
- Multiple sclerosis incidence rate in southern Iran: a Bayesian epidemiological study.BMC neurology · 2021Article
- Rising prevalence of multiple sclerosis in Saudi Arabia, a descriptive study.BMC neurology · 2020Article
- The Administrative Prevalence of Multiple Sclerosis in Greece on the Basis of a Nationwide Prescription Database.Frontiers in neurology · 2020Article
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Authors and funding
13 authors.
Funding
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Abstract
introductionGeographical variation in the prevalence of multiple sclerosis (MS) is controversial. Heterogeneity is important to acknowledge to adapt the provision of care within the healthcare system. We aimed to investigate differences in prevalence of MS in departments in the French territory.
methodsWe estimated MS prevalence on October 31, 2004 in 21 administrative departments in France (22% of the metropolitan departments) by using multiple data sources: the main French health insurance systems, neurologist networks devoted to MS and the Technical Information Agency of Hospitalization. We used a spatial Bayesian approach based on estimating the number of MS cases from 2005 and 2008 capture-recapture studies to analyze differences in prevalence.
resultsThe age- and sex-standardized prevalence of MS per 100,000 inhabitants ranged from 68.1 (95% credible interval 54.6, 84.4) in Hautes-Pyrénées (southwest France) to 296.5 (258.8, 338.9) in Moselle (northeast France). The greatest prevalence was in the northeast departments, and the other departments showed great variability. DISCUSSION: By combining multiple data sources into a spatial Bayesian model, we found heterogeneity in MS prevalence among the 21 departments of France, some with higher prevalence than anticipated from previous publications. No clear explanation related to health insurance coverage and hospital facilities can be advanced. Population migration, socioeconomic status of the population studied and environmental effects are suspected.
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