Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

An endemic-epidemic time-series mixed-effects generalized linear model for areal disease counts has been implemented to understand and predict spatio-temporal diffusion of the phenomenon.

Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy

This paper aims at investigating empirically whether and to what extent the containment measures adopted in Italy had an impact in reducing the diffusion of the COVID-19 disease across provinces.

A graphical tool for interpreting regression coefficients of trinomial logit models

Helping the interpretation of coefficient estimates of multinomial logit models where the response variable takes three possible values (trinomial) through ternary plots.