SIMID

We published technical notes on our latest results regarding the short-term prediction modelling of hospital and ICU admissions, and scenario analyses based on dynamic transmission modelling. Technical note from March 25th, 2021 Technical note from April 15th, 2021 Technical note from May 6th, 2021  

The SIMID COVID-19 modelling team encompasses researchers from Hasselt University (CenStat, DSI) and the University of Antwerp (CHERMID, Vaxinfectio). Please find more info on the DSI website.    

Niel Hens gave a nice interview on television on our current work: https://www.vrt.be/vrtnws/nl/2020/04/05/biostatistiek-coronavirus-niel-hens/

Given the pandemic outbreak of COVID-19, we are are intensively modelling how intervention strategies can fight the spread of the virus using our VSC supercomputers, in collaboration with Researchers Sorbonne Université. See our movie!   https://www.youtube.com/watch?v=L0PZukXy8qU&feature=youtu.be

We used a simulation-based model of viral transmission to test the impact of different intervention measures for the control of COVID-19. The use of an antiviral drug, in combination with contact tracing, quarantine and isolation, results in a significant decrease of the mean final size and the peak incidence of local outbreaks of COVID-19, provided delays in contact tracing are small. Integrating antiviral drugs together with contact tracing and quarantine is predicted through this model to be an effective tool for the control of local outbreaks of COVID-19. https://www.medrxiv.org/content/10.1101/2020.03.19.20038182v1  

European countries are facing enormous pressure on their healthcare systems as a result of the COVID-19 pandemic. We provide a real time overview of the relative pressure on healthcare systems by analyzing the proportion of COVID-19 related deaths and COVID-19 active cases relative to the number of hospital beds, number of medical doctors, and healthcare expenditure, in European countries. More info at www.covid-hcpressure.org