Evidence map›Paper›PMID 35109838›Full record

ArticleBMC public health2022

Perimeter confinements of basic health zones and COVID-19 incidence in Madrid, Spain.

García-García David, Herranz-Hernandez Rafael, Rojas-Benedicto Ayelén, León-Gómez Inmaculada, Larrauri Amparo, Peñuelas Marina, Guerrero-Vadillo María, Ramis Rebeca, Gómez-Barroso Diana

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  6. Assessing the effect of non-pharmaceutical interventions on COVID-19 transmission in Spain, 30 August 2020 to 31 January 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    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

9 authors at 2 institutions in 1 country.

García-García DavidConsorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.
Herranz-Hernandez RafaelResidente de Medicina Preventiva y Salud Pública, Hospital Clínico San Carlos, Madrid, Spain.ORCID 0000-0003-2838-3413
Rojas-Benedicto AyelénConsorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.ORCID 0000-0003-3197-0731
León-Gómez InmaculadaConsorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.ORCID 0000-0002-8565-8332
Larrauri AmparoConsorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.ORCID 0000-0002-1704-2245
Peñuelas MarinaCentro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-5909-7957
Guerrero-Vadillo MaríaCentro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0003-0575-789X
Ramis RebecaConsorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.ORCID 0000-0001-6154-9142
Gómez-Barroso DianaConsorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain. dgomez@isciii.es.ORCID 0000-0001-7388-1767
Instituto de Salud Carlos III · ESHospital Clínico San Carlos · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA unique policy of perimeter closures of Basic Health Zones (small administrative health units) was implemented in the Autonomous Community of Madrid from September 21st 2020 to May 23rd 2021 to face the COVID-19 pandemic.

aimTo assess the impact of local perimeter confinements on the 14-days cumulative incidence of SARS-CoV-2 during the second wave of the pandemic in Madrid, Spain.

methodsWe compare the errors in estimation of two families of mathematical models: ones that include the perimeter closures as explanatory covariables and ones that do not, in search of a significant improvement in estimation of one family over the other. We incorporate leave-one-out cross-validation, and at each step of this process we select the best model in AIC score from a family of 15 differently tuned ones.

resultsThe two families of models provided very similar estimations, for a 1- to 3-weeks delay in observed cumulative incidence, and also when restricting the analysis to only those Basic Health Zones that were subject to at least one closure during the time under study. In all cases the correlation between the errors yielded by both families of models was higher than 0.98 (±10

conclusionOur analysis suggests that the perimeter closures by Basic Health Zone did not have a significant effect on the epidemic curve in Madrid.

Indexed as

COVID-19HumansIncidencePandemicsSARS-CoV-2SpainCovid-19MadridPerimeter closuresSpain

Identifiers

PMID35109838
PMCPMC8810212
OpenAlexW4226264760

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.