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_3
Snippet: The unified Swedish healthcare and register system provides a unique opportunity to calculate the burden and prevalence of prognostic factors for severe COVID-19 disease. This knowledge will help both healthcare capacity planning and provide further data that can be applied to underlying assumptions for models that support planning worldwide. We therefore aimed to use Swedish register data to describe the prevalence of prognostic factors of sever.....
Document: The unified Swedish healthcare and register system provides a unique opportunity to calculate the burden and prevalence of prognostic factors for severe COVID-19 disease. This knowledge will help both healthcare capacity planning and provide further data that can be applied to underlying assumptions for models that support planning worldwide. We therefore aimed to use Swedish register data to describe the prevalence of prognostic factors of severe COVID-19 disease at national and county level in Sweden.
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