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Séverine Deguen

Researcher at EHESP

Publications -  93
Citations -  2280

Séverine Deguen is an academic researcher from EHESP. The author has contributed to research in topics: Population & Public health. The author has an hindex of 23, co-authored 81 publications receiving 1860 citations. Previous affiliations of Séverine Deguen include University of Paris & Sorbonne.

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Review Article: Vulnerability to Heat-related Mortality: A Systematic Review, Meta-analysis, and Meta-regression Analysis.

TL;DR: Strong evidence of heat-related vulnerability is found for the elderly ages >65 and >75 years and low SES groups (at the individual level) and studies are needed to clarify if other subgroups are also vulnerable to heat to inform public health programs.
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A small-area index of socioeconomic deprivation to capture health inequalities in France.

TL;DR: A French small-area index of socioeconomic deprivation derived from a principal component analysis of 1999 national census data from the Strasbourg metropolitan area in eastern France is developed and validated and its successful application to another French metropolitan area confirmed its transposability.
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Traffic-related air pollution and socioeconomic status: a spatial autocorrelation study to assess environmental equity on a small-area scale.

TL;DR: This study confirms the need to take spatial autocorrelation into account in ecologic studies and shows that failure to do so may lead to biased and unreliable estimates and thus to erroneous conclusions.
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Social inequalities resulting from health risks related to ambient air quality—A European review

TL;DR: The housing market biases land use decisions and may explain why some subgroups suffer from both a low socio-economic status and high exposure to air pollution, and the issue of exposure and health inequalities in relation to ambient air quality is complex and calls for global appraisal.
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A statistical procedure to create a neighborhood socioeconomic index for health inequalities analysis.

TL;DR: A statistical procedure to create a neighborhood socioeconomic index that can be applied to multiple geographical areas or socioeconomic variables and provides meaningful information to public health bodies is proposed and the importance of the classification method is highlighted.