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Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review ; Modèles épidémiques développés pour étudier la transmission du COVID-19 durant la première vague de février à mai 2020 : une revue méthodologique

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  • معلومة اضافية
    • Contributors:
      CB - Centre Borelli - UMR 9010 (CB); Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité); Institut Européen d'administration des Affaires (INSEAD); Queen's University Kingston, Canada; Centre for Research in Epidemiology and Statistics; Conservatoire National des Arts et Métiers CNAM (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145); Institut National des Sciences Mathématiques et de leurs Interactions - CNRS Mathématiques (INSMI-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2021
    • Collection:
      Inserm: HAL (Institut national de la santé et de la recherche médicale)
    • نبذة مختصرة :
      We review epidemiological models for the propagation of the COVID-19 pandemic during the early months of the outbreak: from February to May 2020. The aim is to propose a methodological review that highlights the following characteristics: (i) the epidemic propagation models, (ii) the modeling of intervention strategies, (iii) the models and estimation procedures of the epidemic parameters and (iv) the characteristics of the data used. We finally selected 80 articles from open access databases based on criteria such as the theoretical background, the reproducibility, the incorporation of interventions strategies, etc. It mainly resulted to phenomenological, compartmental and individual-level models. A digital companion including an online sheet, a Kibana interface and a markdown document is proposed. Finally, this work provides an opportunity to witness how the scientific community reacted to this unique situation.
    • Relation:
      hal-03332525; https://hal.science/hal-03332525; https://hal.science/hal-03332525/document; https://hal.science/hal-03332525/file/Covid_19_Review_final_HAL.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.824655C6