Spatial distribution of SARS-CoV-2 incidence, social inequality, housing conditions, and density in South-Eastern France: keys for future epidemics

Our results demonstrate the benefits of conducting a spatial analysis of socio-demographic and medical data. At the start of an emerging infectious agent-related epidemic, while surveillance is not yet operational, initial prevention measures could prioritize targeting populations according to their socio-demographic characteristics.

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Publication Details

Journal
Frontiers in Public Health
Published
2024-12-06
DOI
https://doi.org/10.3389/fpubh.2024.1422112
Citations
2
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.79
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article

Spatial distribution of SARS-CoV-2 incidence, social inequality, housing conditions, and density in South-Eastern France: keys for future epidemics

Carole Géloen, Kévin Legueult, Julie Festraëts, Christian Pradier et al.
2 citations
Frontiers in Public Health
COVID-19 epidemiological studies
0.79
article

Spatial distribution of SARS-CoV-2 incidence, social inequality, housing conditions, and density in South-Eastern France: keys for future epidemics

Carole Géloen, Kévin Legueult, Julie Festraëts, Christian Pradier, Amel Chaarana, B Prouvost-Keller, Eugènia Mariné Barjoan
article en
2 citations

Abstract

Our results demonstrate the benefits of conducting a spatial analysis of socio-demographic and medical data. At the start of an emerging infectious agent-related epidemic, while surveillance is not yet operational, initial prevention measures could prioritize targeting populations according to their socio-demographic characteristics.

Frontiers in Public HealthVol. 12
Université Côte d'Azur (FR), Centre Hospitalier Universitaire de Nice (FR)
No poverty
Openalex Percentile: Top 29%
COVID-19 epidemiological studies
0.79
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