Selected article for: "capacity planning and Kalmar county"
Author: Katalin Gemes; Mats Talback; Karin Modig; Anders Ahlbom; Anita Berglund; Maria Feychting; Anthony Matthews
Title: Burden and prevalence of prognostic factors for severe covid-19 disease in Sweden
  • Document date: 2020_4_11
    • ID: lokj2170_52
    Snippet: • This study reports that over 22% of the Swedish population have at least one of the prognostic factors, and 1.6% have at least three factors. • The prevalence of prognostic factors is heterogenous across Sweden, with the Kalmar county containing the highest proportion of its inhabitants with at least one factor (25.5%). However, due to its high population density, Stockholm county has the highest number of individuals with at least one prog.....
    Document: • This study reports that over 22% of the Swedish population have at least one of the prognostic factors, and 1.6% have at least three factors. • The prevalence of prognostic factors is heterogenous across Sweden, with the Kalmar county containing the highest proportion of its inhabitants with at least one factor (25.5%). However, due to its high population density, Stockholm county has the highest number of individuals with at least one prognostic factor (416,988 individuals). • These figures can be used to aid healthcare capacity planning to overcome any shortage in critical care beds and contribute towards underlying assumptions made in modelling efforts to support COVID-19 planning.

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