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