Evidence map›Paper›PMID 37322048›Full record

ArticleScientific reports2023

Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia.

Francesc Belvis, Alberto Aleta, Álvaro Padilla-Pozo, Juan-M Pericàs, Juan Fernández-Gracia, Jorge P Rodríguez, Víctor M Eguíluz, Charles Novaes De Santana, Mireia Julià, Joan Benach and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 8 institutions in 4 countries.

Francesc BelvisResearch Group on Health Inequalities, Environment, and Employment Conditions (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, 08005, Barcelona, Spain. paco.belvis@upf.edu.ORCID 0000-0001-6719-3140
Alberto AletaInstitute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018, Zaragoza, Spain.ORCID 0000-0002-1192-8707
Álvaro Padilla-PozoResearch Group on Health Inequalities, Environment, and Employment Conditions (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, 08005, Barcelona, Spain.ORCID 0000-0002-2110-5309
Juan-M PericàsResearch Group on Health Inequalities, Environment, and Employment Conditions (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, 08005, Barcelona, Spain.ORCID 0000-0002-3645-3293
Juan Fernández-GraciaInstituto de Física Interdisciplinar Y Sistemas Complejos IFISC (CSIC-UIB), 07122, Palma de Mallorca, Spain.ORCID 0000-0001-9728-7666
Jorge P RodríguezInstituto de Física Interdisciplinar Y Sistemas Complejos IFISC (CSIC-UIB), 07122, Palma de Mallorca, Spain.ORCID 0000-0001-6593-5032
Víctor M EguíluzInstituto de Física Interdisciplinar Y Sistemas Complejos IFISC (CSIC-UIB), 07122, Palma de Mallorca, Spain.ORCID 0000-0003-1133-1289
Charles Novaes De SantanaInstituto de Física Interdisciplinar Y Sistemas Complejos IFISC (CSIC-UIB), 07122, Palma de Mallorca, Spain.ORCID 0000-0003-3988-4360
Mireia JuliàResearch Group on Health Inequalities, Environment, and Employment Conditions (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, 08005, Barcelona, Spain.ORCID 0000-0002-7432-0942
Joan BenachResearch Group on Health Inequalities, Environment, and Employment Conditions (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, 08005, Barcelona, Spain.ORCID 0000-0003-2285-742X
COVID-SHINE group
Johns Hopkins University · USInstitute for Cross-Disciplinary Physics and Complex Systems · ESUniversitat Autònoma de Barcelona · ESUniversitat Pompeu Fabra · ESHebron University · PSUniversidad CES · COUniversidad de Zaragoza · ESUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research studies the evolution of COVID-19 crude incident rates, effective reproduction number R(t) and their relationship with incidence spatial autocorrelation patterns in the 19 months following the disease outbreak in Catalonia (Spain). A cross-sectional ecological panel design based on n = 371 health-care geographical units is used. Five general outbreaks are described, systematically preceded by generalized values of R(t) > 1 in the two previous weeks. No clear regularities concerning possible initial focus appear when comparing waves. As for autocorrelation, we identify a wave's baseline pattern in which global Moran's I increases rapidly in the first weeks of the outbreak to descend later. However, some waves significantly depart from the baseline. In the simulations, both baseline pattern and departures can be reproduced when measures aimed at reducing mobility and virus transmissibility are introduced. Spatial autocorrelation is inherently contingent on the outbreak phase and is also substantially modified by external interventions affecting human behavior.

Indexed as

COVID-19Cross-Sectional StudiesDisease OutbreaksHumansSpainSpatial Analysis

Identifiers

PMID37322048
PMCPMC10272129
OpenAlexW4380676948

What OpenQuestion holds

Textmetadata
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.