Evidence map›Paper›PMID 34456623›Full record

ArticleStochastic environmental research and risk assessment : research journal2022

Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic.

Christian Acal, Ana M Aguilera, Annalina Sarra, Adelia Evangelista, Tonio Di Battista, Sergio Palermi

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stochastic environmental research and risk assessment : research journal, 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
1.7field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 20 citations in OpenAlex.

  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

6 authors at 3 institutions in 2 countries.

Christian AcalDepartment of Statistics and O.R. and IMAG, University of Granada, Granada, Spain.
Ana M AguileraDepartment of Statistics and O.R. and IMAG, University of Granada, Granada, Spain.
Annalina SarraDepartment of Philosophical, Pedagogical and Economic-Quantitative Sciences, University G. d'Annunzio, V.le Pindaro, 42, 65127 Pescara, Italy.
Adelia EvangelistaDepartment of Philosophical, Pedagogical and Economic-Quantitative Sciences, University G. d'Annunzio, V.le Pindaro, 42, 65127 Pescara, Italy.
Tonio Di BattistaDepartment of Philosophical, Pedagogical and Economic-Quantitative Sciences, University G. d'Annunzio, V.le Pindaro, 42, 65127 Pescara, Italy.
Sergio PalermiAgency of Environmental Protection of Abruzzo (ARTA), V.le G. Marconi, 51, 65127 Pescara, Italy.
University of Chieti-Pescara · ITUniversidad de Granada · ESAgenzia Regionale per la Protezione Ambientale del Piemonte · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Faced with novel coronavirus outbreak, the most hard-hit countries adopted a lockdown strategy to contrast the spread of virus. Many studies have already documented that the COVID-19 control actions have resulted in improved air quality locally and around the world. Following these lines of research, we focus on air quality changes in the urban territory of Chieti-Pescara (Central Italy), identified as an area of criticality in terms of air pollution. Concentrations of

Identifiers

PMID34456623
PMCPMC8383262
OpenAlexW3195068838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.