Modeling the influence of the information domain on countermeasure effectiveness in case of COVID-19

Abstract A common way to model an epidemic — restricted contagion aspects only is a modification of the Kermack-McKendrick SIR Epidemic (SIR model) with differential equations. (Mis-)Information about epidemics may influence behavior people and thus course as well. We have coupled extended COVID-19 pandemic compartment (mis-)information-based attitude population towards countermeasures. The resulting combined checked concerning basic plausibility properties like positivity boundedness. It calibrated using data from RKI provided by Snapshot Monitoring (COSMO) study. values parameters without corresponding observation been determined L 2 -fit under mild additional assumptions. predictions are essentially in accordance observations. An uncertainty analysis shows, that our results principle stable measurement errors. also assessed scale, at which specific can evolution epidemics. Another result paper multi-domain model, notion controlled reproduction number has be redefined when being used indicator future