Evidence map›Paper›PMID 34149113›Full record

ArticleGeophysical research letters2021

Spring Festival and COVID-19 Lockdown: Disentangling PM Sources in Major Chinese Cities.

Qili Dai, Linlu Hou, Bowen Liu, Yufen Zhang, Congbo Song, Zongbo Shi, Philip K Hopke, Yinchang Feng

Abstract read
In one paragraph

Article in Geophysical research letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. Unraveling the OAtmospheric environment (Oxford, England : 1994) · 2023
    Article
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  14. Outdoor PMScientific reports · 2021
    Article
  15. 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

8 authors.

Qili DaiState Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin China.ORCID https://orcid.org/0000-0001-9534-2887
Linlu HouState Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin China.
Bowen LiuDepartment of Economics University of Birmingham Birmingham UK.
Yufen ZhangState Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin China.ORCID https://orcid.org/0000-0002-6848-940X
Congbo SongSchool of Geography Earth and Environment Sciences University of Birmingham Birmingham UK.ORCID https://orcid.org/0000-0001-7948-4834
Zongbo ShiSchool of Geography Earth and Environment Sciences University of Birmingham Birmingham UK.ORCID https://orcid.org/0000-0002-7157-543X
Philip K HopkeDepartment of Public Health Sciences University of Rochester School of Medicine and Dentistry Rochester NY USA.ORCID https://orcid.org/0000-0003-2367-9661
Yinchang FengState Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin China.ORCID https://orcid.org/0000-0002-6014-5258

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

Responding to the 2020 COVID-19 outbreak, China imposed an unprecedented lockdown producing reductions in air pollutant emissions. However, the lockdown driven air pollution changes have not been fully quantified. We applied machine learning to quantify the effects of meteorology on surface air quality data in 31 major Chinese cities. The meteorologically normalized NO

Indexed as

air qualityCOVID‐19machine learningmeteorological normalizationsourcespring festival

Identifiers

PMID34149113
PMCPMC8206764

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.