Selected article for: "disease control and population structure"

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_26
    Snippet: We were only able to identify the burden of prognostic factors on 1 st January 2016. However, it is unlikely that the structure of the Swedish population has changed enough in four years to considerably change the prevalence estimates we calculated. The population of Sweden has increased by 476,572 inhabitants between 1 st January 2016 and 1 st January 2020. [29] We could not identify all underlying medical conditions that the World Health Organi.....
    Document: We were only able to identify the burden of prognostic factors on 1 st January 2016. However, it is unlikely that the structure of the Swedish population has changed enough in four years to considerably change the prevalence estimates we calculated. The population of Sweden has increased by 476,572 inhabitants between 1 st January 2016 and 1 st January 2020. [29] We could not identify all underlying medical conditions that the World Health Organization and the European Centre for Disease Prevention and Control suggest are prognostic factors for severe COVID-19 disease. Given the data we had available, we were not able to identify individuals with hypertension or high blood pressure because these conditions are usually diagnosed in primary care, and we only had access to data from specialized outpatient care and hospitalizations. [30] The Prescribed Drug Register could identify individuals with hypertension or high blood pressure as it includes information on individuals that dispensed a medication regularly used to treat these . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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