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Residential Mobility of a Cohort of Homeless People in Times of Crisis: COVID-19 Pandemic in a European Metropolis

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Listed:
  • Agathe Allibert

    (Department of Psychiatry, Assistance Publique—Hôpitaux de Marseille, 13385 Marseille, France
    Epidemiology of Zoonoses and Public Health Research Unit (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada)

  • Aurélie Tinland

    (Department of Psychiatry, Assistance Publique—Hôpitaux de Marseille, 13385 Marseille, France
    EA 3279: CEReSS—Health Service Research and Quality of Life Center, School of Medicine—La Timone Medical Campus, Aix-Marseille University, 13005 Marseille, France)

  • Jordi Landier

    (Aix Marseille Univ, IRD, INSERM, SESSTIM, ISSPAM, AP-HM, La Timone Hospital, BioSTIC, Biostatistic & ICT, 13005 Marseille, France)

  • Sandrine Loubière

    (EA 3279: CEReSS—Health Service Research and Quality of Life Center, School of Medicine—La Timone Medical Campus, Aix-Marseille University, 13005 Marseille, France
    Support Unit for Clinical Research and Economic Evaluation, Assistance Publique Hôpitaux de Marseille, 13385 Marseille, France)

  • Jean Gaudart

    (Aix Marseille Univ, IRD, INSERM, SESSTIM, ISSPAM, AP-HM, La Timone Hospital, BioSTIC, Biostatistic & ICT, 13005 Marseille, France)

  • Marine Mosnier

    (Médecins du Monde—Doctors of the World, 13003 Marseille, France)

  • Cyril Farnarier

    (Laboratoire de Sciences Sociales Appliquées/Projet ASSAb, 13001 Marseille, France)

  • Pascal Auquier

    (EA 3279: CEReSS—Health Service Research and Quality of Life Center, School of Medicine—La Timone Medical Campus, Aix-Marseille University, 13005 Marseille, France
    Support Unit for Clinical Research and Economic Evaluation, Assistance Publique Hôpitaux de Marseille, 13385 Marseille, France)

  • Emilie Mosnier

    (Department of Psychiatry, Assistance Publique—Hôpitaux de Marseille, 13385 Marseille, France
    Aix Marseille Univ, IRD, INSERM, SESSTIM, ISSPAM, AP-HM, La Timone Hospital, BioSTIC, Biostatistic & ICT, 13005 Marseille, France)

Abstract

Most vulnerable individuals are particularly affected by the COVID-19 pandemic. This study takes place in a large city in France. The aim of this study is to describe the mobility of the homeless population at the beginning of the health crisis and to analyze its impact in terms of COVID-19 prevalence. From June to August 2020 and September to December 2020, 1272 homeless people were invited to be tested for SARS-CoV-2 antibodies and virus and complete questionnaires. Our data show that homeless populations are sociologically different depending on where they live. We show that people that were living on the street were most likely to be relocated to emergency shelters than other inhabitants. Some neighborhoods are points of attraction for homeless people in the city while others emptied during the health crisis, which had consequences for virus circulation. People with a greater number of different dwellings reported became more infected. This first study of the mobility and epidemiology of homeless people in the time of the pandemic provides unique information about mobility mapping, sociological factors of this mobility, mobility at different scales, and epidemiological consequences. We suggest that homeless policies need to be radically transformed since the actual model exposes people to infection in emergency.

Suggested Citation

  • Agathe Allibert & Aurélie Tinland & Jordi Landier & Sandrine Loubière & Jean Gaudart & Marine Mosnier & Cyril Farnarier & Pascal Auquier & Emilie Mosnier, 2022. "Residential Mobility of a Cohort of Homeless People in Times of Crisis: COVID-19 Pandemic in a European Metropolis," IJERPH, MDPI, vol. 19(5), pages 1-24, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3129-:d:765760
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    References listed on IDEAS

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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Henk Kiers, 1991. "Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 197-212, June.
    3. Bianca Nogrady, 2020. "What the data say about asymptomatic COVID infections," Nature, Nature, vol. 587(7835), pages 534-535, November.
    4. Thioulouse, Jean & Dray, Stéphane, 2007. "Interactive Multivariate Data Analysis in R with the ade4 and ade4TkGUI Packages," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i05).
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    Cited by:

    1. Miyu Komaki & Haruka Kato & Daisuke Matsushita, 2023. "Why Did Urban Exodus Occur during the COVID-19 Pandemic from the Perspective of Residential Preference of Each Type of Household? Case of Japanese Metropolitan Areas," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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