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Factors associated with the spatial heterogeneity of the first wave of COVID-19 in France: a nationwide geo-epidemiological study

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  • معلومة اضافية
    • Contributors:
      Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD); Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM); Biostatistique et technologies de l'information et de la communication (BioSTIC) - Hôpital de la Timone - APHM (BiosTIC ); Assistance Publique - Hôpitaux de Marseille (APHM)-Hôpital de la Timone CHU - APHM (TIMONE); Luxembourg Institute of Health (LIH); Hôpital Européen Fondation Ambroise Paré - Marseille; Université libre de Bruxelles (ULB); Autonomie, Gérontologie, E-santé, Imagerie & Société Grenoble (AGEIS); Université Grenoble Alpes (UGA); Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP); Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2021
    • Collection:
      Université Grenoble Alpes: HAL
    • نبذة مختصرة :
      International audience ; Background: The objective of this study was to better understand the factors associated with the heterogeneity of in-hospital COVID-19 morbidity and mortality across France, one of the countries most affected by COVID-19 in the early months of the pandemic.Methods: This geo-epidemiological analysis was based on data publicly available on government and administration websites for the 96 administrative departments of metropolitan France between March 19 and May 11, 2020, including Public Health France, the Regional Health Agencies, the French national statistics institute, and the Ministry of Health. Using hierarchical ascendant classification on principal component analysis of multidimensional variables, and multivariate analyses with generalised additive models, we assessed the associations between several factors (spatiotemporal spread of the epidemic between Feb 7 and March 17, 2020, the national lockdown, demographic population structure, baseline intensive care capacities, baseline population health and health-care services, new chloroquine and hydroxychloroquine dispensations, economic indicators, degree of urbanisation, and climate profile) and in-hospital COVID-19 incidence, mortality, and case fatality rates. Incidence rate was defined as the cumulative number of in-hospital COVID-19 cases per 100 000 inhabitants, mortality rate as the cumulative number of in-hospital COVID-19 deaths per 100 000, and case fatality rate as the cumulative number of in-hospital COVID-19 deaths per cumulative number of in-hospital COVID-19 cases.Findings: From March 19 to May 11, 2020, hospitals in metropolitan France notified a total of 100 988 COVID-19 cases, including 16 597 people who were admitted to intensive care and 17 062 deaths. There was an overall cumulative in-hospital incidence rate of 155·6 cases per 100 000 inhabitants (range 19·4–489·5), in-hospital mortality rate of 26·3 deaths per 100 000 (1·1–119·2), and in-hospital case fatality rate of 16·9% (4·8–26·2). We found clear spatial ...
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/33556327; hal-03136068; https://hal.sorbonne-universite.fr/hal-03136068; https://hal.sorbonne-universite.fr/hal-03136068/document; https://hal.sorbonne-universite.fr/hal-03136068/file/PIIS2468266721000062.pdf; IRD: fdi:010081281; PUBMED: 33556327
    • الرقم المعرف:
      10.1016/S2468-2667(21)00006-2
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.AE15DF25