Analyzing coronavirus properties and speed of progress

The team of eight department researchers is analyzing the coronavirus data in order to establish:

– the influence of weather, humidity and other factor on the speed of coronavirus progress
– the effectiveness of various approaches for curbing the coronavirus infection

Currently, we have two data bases and are obtaining first relations.

The research is based on the department method for complex soft domains:

Some additional info.

The team is lead by M. Gams and M. Luštrek