A differential equations model-fitting analysis of COVID-19 epidemiological data to explain multi-wave dynamics

Abstract Compartmental epidemiological models are, by far, the most popular in study of dynamics related with infectious diseases. It is, therefore, not surprising that they are frequently used to current COVID-19 pandemic. Taking advantage real-time availability data, we perform a compartmental model fitting analysis portuguese case, using an online open-access platform integrated capability solving systems differential equations. This enabled data-driven validation and was basis for robust projections different future scenarios, namely, increasing detected infected population, reopening schools at moments, allowing Easter celebrations take place population vaccination. The method presented this work can easily be non-trivial task simultaneously equation solutions data sets, regardless or country might considered analysis.