Spatial distribution of SARS-CoV-2 incidence, social inequality, housing conditions, and density in South-Eastern France: keys for future epidemics
2024

SARS-CoV-2 Incidence and Social Factors in South-Eastern France

Sample size: 23867 publication 10 minutes Evidence: high

Author Information

Author(s): Mariné Barjoan Eugènia, Prouvost-Keller Bernard, Chaarana Amel, Festraëts Julie, Geloen Carole, Legueult Kevin, Pradier Christian

Primary Institution: Université Côte d’Azur, Centre Hospitalier Universitaire de Nice

Hypothesis

What was the impact of social deprivation, household overcrowding and population density per km2 on the difference in SARS-CoV-2 incidence rate between East and West of the Alpes-Maritimes district in France?

Conclusion

The study highlights the importance of spatial analysis of socio-demographic and medical data for targeting prevention measures during epidemics.

Supporting Evidence

  • In the Eastern area, the incidence rate was significantly higher among the most deprived population category.
  • Overcrowded households were linked to higher SARS-CoV-2 incidence rates.
  • Population density was associated with increased incidence rates in the Eastern area.

Takeaway

This study found that areas with more crowded homes and higher social deprivation had more COVID-19 cases, showing that where people live can affect how sick they get.

Methodology

The study analyzed SARS-CoV-2 incidence rates across census blocks, comparing socio-economic indicators like social deprivation, overcrowding, and population density using statistical models.

Potential Biases

Potential bias due to missing data for certain socio-economic indicators and reliance on aggregated data.

Limitations

The study relied on 2018 socio-economic data, which may not reflect current conditions, and some cases could not be allocated to census blocks.

Participant Demographics

The study focused on residents of Nice, with a total population of 570,017 in the Western area and 515,879 in the Eastern area.

Statistical Information

P-Value

p<0.001

Confidence Interval

[1.530–1.703]

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3389/fpubh.2024.1422112

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