ArticleScientific reports2021
Mobility-based real-time economic monitoring amid the COVID-19 pandemic.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Model predicted human mobility explains COVID-19 transmission in urban space without behavioral data.Scientific reports · 2025Article
- The Mediating Role of Human Mobility in Temporal-Lagged Relationships Between Risk Perception and COVID-19 Dynamics in Taiwan: Statistical Modeling for Comparing the Pre-Omicron and Omicron Eras.JMIR public health and surveillance · 2024Article
- Replacing discontinued Big Tech mobility reports: a penetration-based analysis.Scientific reports · 2023Article
- Economic analysis through alternative data and big data techniques: what do they tell about Brazil?SN business & economics · 2023Article
- Recursive state and parameter estimation of COVID-19 circulating variants dynamics.Scientific reports · 2022Article
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities.International journal of applied earth observation and geoinformation : ITC journal · 2022Article
- Interactions of Co, Cu, and non-metal phthalocyanines with external structures of SARS-CoV-2 using docking and molecular dynamics.Scientific reports · 2022Article
- Understanding the uneven spread of COVID-19 in the context of the global interconnected economy.Scientific reports · 2022Article
- A data-driven approach to measuring epidemiological susceptibility risk around the world.Scientific reports · 2021Article
- Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets.Physica A · 2021Article
- GDP Forecasting: Machine Learning, Linear or Autoregression?Frontiers in artificial intelligence · 2021Article
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Authors and funding
2 authors.
Funding
Abstract
Mobility restrictions have been identified as key non-pharmaceutical interventions to limit the spread of the SARS-COV-2 epidemics. However, these interventions present significant drawbacks to the social fabric and negative outcomes for the real economy. In this paper we propose a real-time monitoring framework for tracking the economic consequences of various forms of mobility reductions involving European countries. We adopt a granular representation of mobility patterns during both the first and second waves of SARS-COV-2 in Italy, Germany, France and Spain to provide an analytical characterization of the rate of losses of industrial production by means of a nowcasting methodology. Our approach exploits the information encoded in massive datasets of human mobility provided by Facebook and Google, which are published at higher frequencies than the target economic variables, in order to obtain an early estimate before the official data becomes available. Our results show, in first place, the ability of mobility-related policies to induce a contraction of mobility patterns across jurisdictions. Besides this contraction, we observe a substitution effect which increases mobility within jurisdictions. Secondly, we show how industrial production strictly follows the dynamics of population commuting patterns and of human mobility trends, which thus provide information on the day-by-day variations in countries' economic activities. Our work, besides shedding light on how policy interventions targeted to induce a mobility contraction impact the real economy, constitutes a practical toolbox for helping governments to design appropriate and balanced policy actions aimed at containing the SARS-COV-2 spread, while mitigating the detrimental effect on the economy. Our study reveals how complex mobility patterns can have unequal consequences to economic losses across countries and call for a more tailored implementation of restrictions to balance the containment of contagion with the need to sustain economic activities.
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