Evidence map›Paper›PMID 32952303›Full record

ArticleSafety science2020

Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis.

Carlos Santamaria, Francesco Sermi, Spyridon Spyratos, Stefano Maria Iacus, Alessandro Annunziato, Dario Tarchi, Michele Vespe

Abstract read
In one paragraph

Article in Safety science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Influence of non-pharmaceutical COVID-19 interventions on speed-related and alcohol-related traffic injuries in five cities of the province of Québec, Canada.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
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  19. Testing big data in a big crisis: Nowcasting under COVID-19.International journal of forecasting · 2022
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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

7 authors.

Carlos SantamariaJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
Francesco SermiJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
Spyridon SpyratosJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
Stefano Maria IacusJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
Alessandro AnnunziatoJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
Dario TarchiJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
Michele VespeJoint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a mobility indicator derived from fully anonymised and aggregated mobile positioning data. Even though the indicator does not provide information about the behaviour of individuals, it captures valuable insights into the mobility patterns of the population in the EU and it is expected to inform responses against the COVID-19 pandemic. Spatio-temporal harmonisation is carried out so that the indicator can provide mobility estimates comparable across European countries. The indicators are provided at a high spatial granularity (up to NUTS3). As an application, the indicator is used to study the impact of COVID-19 confinement measure on mobility in Europe. It is found that a large proportion of the change in mobility patterns can be explained by these measures. The paper also presents a comparative analysis between mobility and the infection reproduction number

Indexed as

Confinement measuresCoronavirusCOVID-19Human mobilityMobility data

Identifiers

PMID32952303
PMCPMC7486861

What OpenQuestion holds

Textmetadata
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.