A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region.

Yuchao Ren, Xu Guan, Qingzhu Zhang, Lei Li, Chenliang Tao, Shilong Ren, Qiao Wang, Wenxing Wang

Abstract read

In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuchao RenBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China.

Xu GuanShandong Academy for Environmental Planning, Jinan 250101, PR China. Electronic address: sdhjwxf@shandong.cn.

Qingzhu ZhangBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China. Electronic address: zqz@sdu.edu.cn.

Lei LiBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China.

Chenliang TaoBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China.

Shilong RenBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China.

Qiao WangBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China.

Wenxing WangBig Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University, Qingdao 266003, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale restrictions on anthropogenic activities in China in 2020 due to the Corona Virus Disease 2019 (COVID-19) indirectly led to improvements in air quality. Previous studies have paid little attention to the changes in nitrogen dioxide (NO

Indexed as

Air PollutantsAir PollutionCOVID-19BeijingChinaCommunicable Disease ControlEnvironmental MonitoringHumansNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterCOVID-19LockdownMachine learningNO(2)O(3)PM(2.5)

Identifiers

PMID37061051

DOI10.1016/j.scitotenv.2023.163190

PMCPMC10102532

What OpenQuestion holds

Textmetadata

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Registered trials

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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.