HIGHLIGHTS
- who: Žiga Zaplotnik and collaborators from the Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia, Department of have published the research: Simulation of the COVID-19 epidemic on the social network of Slovenia: Estimating the intrinsic forecast uncertainty, in the Journal: PLOS ONE of 21/05/2020
- what: The authors evaluated the contribution of the virus transmission uncertainty (e_g reproduction number and its derivatives), network and initial condition uncertainty and uncertainty of the disease progress model to the total uncertainty of the epidemic forecast.
- how: Forecast uncertainty decomposition Using the exclusion . . .
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