Evidence map›Paper›PMID 40479365›Full record

ArticleRegional science policy & practice2022

Impact of immobility and mobility activities on the spread of COVID-19: Evidence from European countries.

Louafi Bouzouina, Karima Kourtit, Peter Nijkamp

Abstract read
In one paragraph

Article in Regional science policy & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Louafi BouzouinaLAET, ENTPE University of Lyon France.ORCID https://orcid.org/0000-0001-8975-5124
Karima KourtitOpen University Heerlen The Netherlands.ORCID https://orcid.org/0000-0002-7171-994X
Peter NijkampOpen University Heerlen The Netherlands.ORCID https://orcid.org/0000-0002-4068-8132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To limit the spread of COVID-19, most countries in the world have put in place measures which restrict mobility. The co-presence of several people in the same place of work, shopping, leisure or transport is considered a favourable vector for the transmission of the virus. However, this hypothesis remains to be verified in the light of the daily data available since the first wave of contamination. Does immobility reduce the spread of the COVID-19 pandemic? Does mobility contribute to the increase in the number of infections for all activities? This paper applies several pooled mean group-autoregressive distributed lag (PMG-ARDL) models to investigate the impact of immobility and daily mobility activities on the spread of the COVID-19 pandemic in European countries using daily data for the period from 12 March 2020 to 31 August 2021. The results of the PMG-ARDL models show that immobility and higher temperatures play a significant role in reducing the COVID-19 pandemic. The increase in mobility activities (grocery, retail, use of transit) is also positively associated with the number of new COVID-19 cases. The combined analysis with the Granger causality test shows that the relationship between mobility and COVID-19 goes in both directions, with the exception of grocery shopping, visits to parks and commuting mobility. The former favours the spread of COVID-19, while the next two have no causal relationship with COVID-19. The results confirm the role of immobility in mitigating the spread of the pandemic, but call into question the drastic policies of systematically closing all places of activity.

Indexed as

COVID‐19 spreadEuropean countriesimmobilitymobilityPMG–ARDL

Identifiers

PMID40479365
PMCPMC9349732

What OpenQuestion holds

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Registered trials

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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.