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