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We discuss an approach for fitting robust nonlinear regression models, whichcan be employed to model and predict the contagion dynamics of the Covid-19 inItaly. The focus is on the analysis of epidemic data using robust dose-responsecurves, but the functionality is applicable to arbitrary nonlinear regressionmodels.

Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy