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Social Inequalities and Vulnerability of population facing the COVID-19: the case of Seine-Saint-Denis in Ile-de-France

Author

Listed:
  • Stéphane Goutte

    (Cemotev - Centre d'études sur la mondialisation, les conflits, les territoires et les vulnérabilités - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines)

  • Thomas Péran

    (ROLACC)

  • Thomas Porcher

    (PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

The vast majority of research focuses on the individual factors leading to coronavirus mortality. Numerous studies have shown that the age of the population is the dominant factor explaining mortality. Other more recent work has added gender, comorbidity, ethnicity and obesity. Based on the most populous and dense region of France-Île-de-France, grouping 8 heterogeneous departments in terms of wealth-our study seeks to identify whether economic and financial or structural factors related to housing can explain a faster circulation of the virus during social dis-tancing like lockdown, and therefore lead to excess mortality. We show that agglomerations with higher precariousness indicators (unemployment benefit income, poverty rate, social minima in income, little or no graduate in the workforce) and less suitable housing (potentially unworthy housing, household size, overcrowded housing) are more at risk, including if their population is younger. Our study therefore provides political leaders with a number of indications allowing them to take effective measures in the event of a second wave of COVID-19 or forthcoming coronavirus pandemics.

Suggested Citation

  • Stéphane Goutte & Thomas Péran & Thomas Porcher, 2020. "Social Inequalities and Vulnerability of population facing the COVID-19: the case of Seine-Saint-Denis in Ile-de-France," Working Papers halshs-02613278, HAL.
    • Handle: RePEc:hal:wpaper:halshs-02613278
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02613278
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    References listed on IDEAS

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    1. Xiao-Guang Yue & Xue-Feng Shao & Rita Yi Man Li & M. James C. Crabbe & Lili Mi & Siyan Hu & Julien S Baker & Liting Liu & Kechen Dong, 2020. "Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy," JRFM, MDPI, vol. 13(4), pages 1-26, April.
    2. Declan Butler, 2013. "Progress stalled on coronavirus," Nature, Nature, vol. 501(7467), pages 294-295, September.
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