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Covid-19 : analyse spatiale de l’influence des facteurs socio-économiques sur la prévalence et les conséquences de l’épidémie dans les départements français

Author

Listed:
  • Mounir Amdaoud

    (CEPN - Centre d'Economie de l'Université Paris Nord - LABEX ICCA - UP13 - Université Paris 13 - Université Sorbonne Nouvelle - Paris 3 - CNRS - Centre National de la Recherche Scientifique - UPCité - Université Paris Cité - Université Sorbonne Paris Nord - CNRS - Centre National de la Recherche Scientifique - Université Sorbonne Paris Nord, EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Giuseppe Arcuri
  • Nadine Levratto

Abstract

This paper analyses the socio-economic determinants of hospitalizations and death rates related to Covid-19 on the one hand, and the excess mortality observed this year compared to previous ones, on the other. It proposes a territorial approach to these questions thanks to the use of data calculated at the French departments level. The exploratory spatial analysis carried out reveals the heterogeneity and spatial autocorrelation of the disease and its consequences. The use of spatial econometric models, then, allows us to highlight the influence of demographic density, social inequalities, part of blue-collars in the active population and emergency services on the studied phenomena.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mounir Amdaoud & Giuseppe Arcuri & Nadine Levratto, 2020. "Covid-19 : analyse spatiale de l’influence des facteurs socio-économiques sur la prévalence et les conséquences de l’épidémie dans les départements français," Working Papers hal-03059456, HAL.
    • Handle: RePEc:hal:wpaper:hal-03059456
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    Cited by:

    1. Mounir Amdaoud & Giuseppe Arcuri & Nadine Levratto, 2021. "Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 629-642, June.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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