12 citations · 19 across the 6 of their papers we have counts for
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stat.AP2023
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…
stat.AP2020★ 12 cited
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…