Evidence map›Paper›PMID 35498271›Full record

ArticleStochastic environmental research and risk assessment : research journal2022

Atmospheric pollutants response to the emission reduction and meteorology during the COVID-19 lockdown in the north of Africa (Morocco).

Salah Eddine Sbai, Farida Bentayeb, Hao Yin

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Salah Eddine SbaiDepartment of Physics, Laboratoires de Physique des Hauts Energies Modélisation et Simulation, Mohammed V University in Rabat, Rabat, Morocco.ORCID 0000-0001-9607-7253
Farida BentayebDepartment of Physics, Laboratoires de Physique des Hauts Energies Modélisation et Simulation, Mohammed V University in Rabat, Rabat, Morocco.
Hao YinKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate and air quality change due to COVID-19 lockdown (LCD) are extremely concerned subjects of several research recently. The contribution of meteorological factors and emission reduction to air pollution change over the north of Morocco has been investigated in this study using the framework generalized additive models, that have been proved to be a robust technique for the environmental data sets, focusing on main atmospheric pollutants in the region including ozone (O Supplementary Information: The online version contains supplementary material available at 10.1007/s00477-022-02224-z.

Indexed as

AtmosphereCOVID-19Generalized additive modelsMeteorological factorsPhotochemical oxidationPollution

Identifiers

PMID35498271
PMCPMC9033931

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.