COVID Data Initiative (INCODA)

Within the project, a dataset has been built of almost all residents of the Netherlands, linked to the GGD test results and COVID-19 related hospital and ICU admissions and deaths. This combined dataset was then used to examine both the risk of infection and the risk of hospital admission, ICU admission and/or death. All results show that socio-demographic factors, such as income, age and migration background, strongly influence both the risk of a SARS-Cov-2 infection and the risk of a serious course of COVID-19. It also becomes clear that it may differ per city or safety region which group has the highest risk of infection. There is a dashboard with the available (anonymous) data developed which makes it possible for everyone to get a detailed picture of which groups tested where and at what time, tested positive for the coronavirus, who was in hospital and who died as a result of the virus. The objectives of INCODA are: 1. Identify groups at high risk for a COVID-19 infection with a serious course 2. Investigate whether the combination of medical characteristics and clinical parameters with geographical, demographic and socio-economic characteristics is valuable and can be used for, among other things, secondary prevention measures and choosing treatment methods INCODA does this by: • combining clinical and ICU admission data of COVID-19 patients with CBS data • identifying risk groups based on a multivariable profile and developing prediction models for the risk of a serious course of COVID-19 • investigating possible interventions