Evidence map›Paper›PMID 34162933›Full record

ArticleScientific reports2021

Human mobility in response to COVID-19 in France, Italy and UK.

Alessandro Galeazzi, Matteo Cinelli, Giovanni Bonaccorsi, Francesco Pierri, Ana Lucia Schmidt, Antonio Scala, Fabio Pammolli, Walter Quattrociocchi

Abstract read
In one paragraph

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 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed.

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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alessandro GaleazziUniversity of Brescia, Via Branze, 59, 25123, Brescia, Italy. a.galeazzi002@unibs.it.ORCID 0000-0001-6859-0391
Matteo CinelliCa'Foscari University of Venice, via Torino 155, 30172, Venezia, Italy.
Giovanni BonaccorsiImpact, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy.ORCID 0000-0002-5600-6271
Francesco PierriDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID 0000-0002-9339-7566
Ana Lucia SchmidtCa'Foscari University of Venice, via Torino 155, 30172, Venezia, Italy.
Antonio ScalaApplico Lab-ISC CNR, Via dei Taurini 19, 00185, Rome, Italy.
Fabio PammolliImpact, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy.
Walter QuattrociocchiCa'Foscari University of Venice, via Torino 155, 30172, Venezia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is one of the defining events of our time. National Governments responded to the global crisis by implementing mobility restrictions to slow down the spread of the virus. To assess the impact of those policies on human mobility, we perform a massive comparative analysis on geolocalized data from 13 M Facebook users in France, Italy, and the UK. We find that lockdown generally affects national mobility efficiency and smallworldness-i.e., a substantial reduction of long-range connections in favor of local paths. The impact, however, differs among nations according to their mobility infrastructure. We find that mobility is more concentrated in France and UK and more distributed in Italy. In this paper we provide a framework to quantify the substantial impact of the mobility restrictions. We introduce a percolation model mimicking mobility network disruption and find that node persistence in the percolation process is significantly correlated with the economic and demographic characteristics of countries: areas showing higher resilience to mobility disruptions are those where Value Added per Capita and Population Density are high. Our methods and findings provide important insights to enhance preparedness for global critical events and to incorporate resilience as a relevant dimension to estimate the socio-economic consequences of mobility restriction policies.

Indexed as

COVID-19TravelFranceHumansItalyPandemics

Identifiers

PMID34162933
PMCPMC8222274

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.