Evidence map›Paper›PMID 35637663›Full record

ArticleChaos, solitons, and fractals2022

Assessing the risk of pandemic outbreaks across municipalities with mathematical descriptors based on age and mobility restrictions.

Alejandro Carballosa, José Balsa-Barreiro, Pablo Boullosa, Adrián Garea, Jorge Mira, Ángel Miramontes, Alberto P Muñuzuri

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Alejandro CarballosaGroup of Nonlinear Physics, Fac. Physics, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
José Balsa-BarreiroInstitute IDEGA, Department of Geography, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Pablo BoullosaGroup of Nonlinear Physics, Fac. Physics, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Adrián GareaGroup of Nonlinear Physics, Fac. Physics, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Jorge MiraDepartamento de Física Aplicada, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Ángel MiramontesInstitute IDEGA, Department of Geography, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Alberto P MuñuzuriGroup of Nonlinear Physics, Fac. Physics, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By March 14th 2022, Spain is suffering the sixth wave of the COVID-19 pandemic. All the previous waves have been intimately related to the degree of imposed mobility restrictions and its consequent release. Certain factors explain the incidence of the virus across regions revealing the weak locations that probably require some medical reinforcements. The most relevant ones relate with mobility restrictions by age and administrative competence, i.e., spatial constrains. In this work, we aim to find a mathematical descriptor that could identify the critical communities that are more likely to suffer pandemic outbreaks and, at the same time, to estimate the impact of different mobility restrictions. We analyze the incidence of the virus in combination with mobility flows during the so-called

Indexed as

Confinement scenariosLinear stability/growth factorsMultilayer network with mobility and geographical dataRisk factorsSEIR pandemic model

Identifiers

PMID35637663
PMCPMC9132613

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.