Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
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Abstract (arXiv)
In response to the COVID-19 pandemic, National governments have applied lockdown restrictions to reduce the infection rate. We perform a massive analysis on near real-time Italian data provided by Facebook to investigate how lockdown strategies affect economic conditions of individuals and local governments. We model the change in mobility as an exogenous shock similar to a natural disaster. We identify two ways through which mobility restrictions affect Italian citizens. First, we find that the impact of lockdown is stronger in municipalities with higher fiscal capacity. Second, we find a segregation effect, since mobility restrictions are stronger in municipalities for which inequality is higher and where individuals have lower income per capita.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2020.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
6 papers.
- 2021Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germanycited by 7
- 2021Modelling the COVID-19 virus evolution with Incremental Machine Learningcited by 2
- 2021Reinforced Contact Tracing and Epidemic Interventioncited by 0
- 2023Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission path reconstructioncited by 0
- 2024PANDORA: Deep graph learning based COVID-19 infection risk level forecastingcited by 0
- 2026Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Modelscited by 0
- 2026Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models27 Feb 2026
- 2024PANDORA: Deep graph learning based COVID-19 infection risk level forecasting7 Jun 2024
- 2023Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission path reconstruction1 Dec 2023
- 2021Modelling the COVID-19 virus evolution with Incremental Machine Learning14 Apr 2021
- 2021Reinforced Contact Tracing and Epidemic Intervention4 Feb 2021
- 2021Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany3 Jan 2021