12 citations · 13 across the 3 of their papers we have counts for
3 papers
Pandemic Data Quality Modelling: A Bayesian Approach
Luisa Ferrari, Giancarlo Manzi, Alessandra Micheletti +2
When pandemics like COVID-19 spread around the world, the rapidly evolving situation compels officials and executives to take prompt decisions and adapt policies depending on the c…
Modelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model
Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi +4
In this paper we develop a predictive model for the spread of COVID-19 infection at a provincial (i.e. EU NUTS-3) level in Italy by using official data from the Italian Ministry of…
COVID-Pro in Italy: a dashboard for a province-based analysis
Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi +3
This paper presents an dashboard developed to analyse the outbreak of the Covid-19 infection in Italy considering daily NUTS-3 data on positive cases provided by the Italian Minist…