Evidence map›Paper›PMID 36536832›Full record

ArticleApplied geography (Sevenoaks, England)2021

The city turned off: Urban dynamics during the COVID-19 pandemic based on mobile phone data.

Gustavo Romanillos, Juan Carlos García-Palomares, Borja Moya-Gómez, Javier Gutiérrez, Javier Torres, Mario López, Oliva G Cantú-Ros, Ricardo Herranz

Open access · hybridAbstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
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  7. Article
  8. Article
  9. Applying a Pedestrian Level of Service in the Context of Social Distancing: The Case of the City of Madrid.International journal of environmental research and public health · 2021
    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

8 authors at 3 institutions in 1 country.

Gustavo RomanillostGIS, Department of Geography, Universidad Complutense de Madrid, Spain.
Juan Carlos García-PalomarestGIS, Department of Geography, Universidad Complutense de Madrid, Spain.
Borja Moya-GómezTRANSyT, Universidad Politécnica de Madrid, Spain.
Javier GutiérreztGIS, Department of Geography, Universidad Complutense de Madrid, Spain.
Javier TorresNommon Solutions and Technologies, Spain.
Mario LópezNommon Solutions and Technologies, Spain.
Oliva G Cantú-RosNommon Solutions and Technologies, Spain.
Ricardo HerranzNommon Solutions and Technologies, Spain.
Nommon Solutions and Technologies (Spain) · ESUniversidad Complutense de Madrid · ESUniversidad Politécnica de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the rapid expansion of the COVID-19 pandemic, many countries ordained lockdowns, establishing different restrictions on people's mobility. Exploring to what extent these measures have been effective is critical in order to better respond to similar future scenarios. This article uses anonymous mobile phone data to study the impact of the Spanish lockdown on the daily dynamics of the Madrid metropolitan area (Spain). The analysis has been carried out for a reference week prior to the lockdown and during several weeks of the lockdown in which different restrictions were in place. During these weeks, population distribution is compared during the day and at night and presence profiles are obtained throughout the day for each type of land use. In addition, a spatial multiple regression analysis is carried out to determine the impact of the different land uses on the local population. The results in the reference week, pre-COVID-19, show how the population in activity areas increases in each time slot on a specific day and how in residential areas it decreases. However, during the lockdown, activity areas cease to attract population during the day and the residential areas therefore no longer show a decrease. Only basic essential commercial activities, or others that require the presence of workers (industrial or logistics) maintain some activity during lockdown.

Indexed as

COVID-19Land useLockdownMadrid (Spain)Mobile phone dataSpatio-temporal demographicsUrban geography

Identifiers

PMID36536832
PMCPMC9753119
OpenAlexW3183965270

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.