Dynamic modeling of the Italians' attitude towards Covid‐19

We analyze repeated cross‐sectional survey data collected by the Institute of Global Health Innovation, to characterize the perception and behavior of the Italian population during the Covid‐19 pandemic, focusing on the period that spans from April 2020 to July 2021. To accomplish this goal, we propose a Bayesian dynamic latent‐class regression model, that accounts for the effect of sampling bias including survey weights into the likelihood...