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_11
Snippet: We initially calculated the burden (raw number) and prevalence (proportion) of all individuals living in Sweden in relation to their sex, age (1-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+), county of residence (21 counties), if they had a predetermined prognostic factors for severe COVID-19, and if they had at least one, two, or three of these prognostic factors. We then calculated the burden and prevalence of the five underlying med.....
Document: We initially calculated the burden (raw number) and prevalence (proportion) of all individuals living in Sweden in relation to their sex, age (1-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+), county of residence (21 counties), if they had a predetermined prognostic factors for severe COVID-19, and if they had at least one, two, or three of these prognostic factors. We then calculated the burden and prevalence of the five underlying medical conditions across each age group, and the burden and prevalence of each of the six prognostic factors individually in each of the 21 counties across the whole of Sweden. We also calculated the age group stratified burden and prevalence of each of the five underlying medical conditions in each county. Finally, we calculated the burden and prevalence of individuals with at least one, two, and three prognostic factors for severe COVID-19 in each county.
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