Search Results for author: Stefano Maria Iacus

Found 7 papers, 0 papers with code

Mobility and Economic Impact of COVID-19 Restrictions in Italy using Mobile Network Operator Data

no code implementations28 May 2021 Michele Vespe, Umberto Minora, Stefano Maria Iacus, Spyridon Spyratos, Francesco Sermi, Matteo Fontana, Biagio Ciuffo, Panayotis Christidis

This work presents the analysis of the impact of restrictions on mobility in Italy, with a focus on the period from 6 November 2020 to 31 January 2021, when a three-tier system based on different levels of risk was adopted and applied at regional level to contrast the second wave of COVID-19.

Mobility Functional Areas and COVID-19 Spread

no code implementations31 Mar 2021 Stefano Maria Iacus, Carlos Santamaria, Francesco Sermi, Spyridon Spyratos, Dario Tarchi, Michele Vespe

This work introduces a new concept of functional areas called Mobility Functional Areas (MFAs), i. e., the geographic zones highly interconnected according to the analysis of mobile positioning data.

Territorial differences in the spread of COVID-19 in European regions and US counties

no code implementations15 Mar 2021 Fabrizio Natale, Stefano Maria Iacus, Alessandra Conte, Spyridon Spyratos, Francesco Sermi

The differences in the spread of COVID-19 by rural-urban typology and the role of mobility are less clear during the second wave.

Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study

no code implementations19 Jan 2021 Tiziana Carpi, Airo Hino, Stefano Maria Iacus, Giuseppe Porro

This study analyzes the impact of the COVID-19 pandemic on the subjective well-being as measured through Twitter data indicators for Japan and Italy.

On a Japanese Subjective Well-Being Indicator Based on Twitter data

no code implementations28 Dec 2020 Tiziana Carpi, Airo Hino, Stefano Maria Iacus, Giuseppe Porro

This study presents for the first time the SWB-J index, a subjective well-being indicator for Japan based on Twitter data.

Sentiment Analysis Applications Computers and Society General Economics Economics

Forecasting asylum-related migration flows with machine learning and data at scale

no code implementations9 Nov 2020 Marcello Carammia, Stefano Maria Iacus, Teddy Wilkin

The effects of the so-called "refugee crisis" of 2015-16 continue to dominate the political agenda in Europe.

BIG-bench Machine Learning

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