SARS-CoV-2 Spread Forecast Dynamic Model Validation through Digital Twin Approach, Catalonia Case Study

The spread of the SARS-CoV-2 modeling is a challenging problem because its complex nature and lack information regarding certain aspects. In this paper, we explore Digital Twin approach to model pandemic situation in Catalonia. composed three different dynamic models used perform validations by Model Comparison approach. We detail how use obtain knowledge effects nonpharmaceutical interventions problems faced during process. Specification Description Language (SDL) represent compartmental forecasting for SARS-CoV-2. Its graphical notation simplifies specialists’ understanding hypotheses, which must be validated continuously following Solution Validation This allows successful scenarios present some formalization details, discuss validation process results obtained from discussion, becomes digital twin