activity
20152023
most citedModelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model

12 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

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…

q-bio.PE2020★ 1 cited

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…

physics.soc-ph2016★ 12 cited

Research infrastructures in the LHC era: a scientometric approach

Stefano Carrazza, Alfio Ferrara, Silvia Salini

When a research infrastructure is funded and implemented, new information and new publications are created. This new information is the measurable output of discovery process. In t…

stat.AP2015★ 6 cited

Social networks, happiness and health: from sentiment analysis to a multidimensional indicator of subjective well-being

Stefano Maria Iacus, Giuseppe Porro, Silvia Salini +1

This paper applies a novel technique of opinion analysis over social media data with the aim of proposing a new indicator of perceived and subjective well-being. This new index, na…