Initiative COVID Data (INCODA)

Project description We are moving from a national and uniform COVID-19 crisis approach to a differentiated approach. This requires more insight into epidemiology, transmission, medical progress and burden on the healthcare system. This is necessary to predict the course of the pandemic and to support decisions about measures. The objectives of the 'COVID Data Initiative' (INCODA) are: Designation of groups with a high risk of a COVID-19 infection with a severe course Investigate whether the combination of medical characteristics and clinical parameters with geographic, demographic and socio-economic characteristics is valuable and can be used for secondary prevention measures and the selection of treatment methods INCODA does this by: Combining clinical and IC admission data from COVID-19 patients with CBS data Identifying risk groups based on a multivariable profile and developing prediction models for the risk of severe course of COVID-19 Investigate possible interventions