Evidence map›Paper›PMID 33711659›Full record

ArticleJournal of environmental management2021

Comparison of air pollutants and their health effects in two developed regions in China during the COVID-19 pandemic.

Junfeng Wang, Yali Lei, Yi Chen, Yangzhou Wu, Xinlei Ge, Fuzhen Shen, Jie Zhang, Jianhuai Ye, Dongyang Nie, Xiuyong Zhao and 1 more

Abstract read
In one paragraph

Article in Journal of environmental management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

11 authors.

Junfeng WangSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Yali LeiKey Lab of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China.
Yi ChenYangzhou Environmental Monitoring Center, Yangzhou 225007, China. Electronic address: jwyzyx@163.com.
Yangzhou WuDepartment of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China.
Xinlei GeJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China. Electronic address: caxinra@163.com.
Fuzhen ShenJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Jie ZhangAtmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12203, USA.
Jianhuai YeSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Dongyang NieSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
Xiuyong ZhaoState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, State Power Environmental Protection Research Institute, Nanjing 210000, China.
Mindong ChenJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution attributed to substantial anthropogenic emissions and significant secondary formation processes have been reported frequently in China, especially in Beijing-Tianjin-Hebei (BTH) and Yangtze River Delta (YRD). In order to investigate the aerosol evolution processes before, in, and after the novel coronavirus (COVID-19) lockdown period of 2020, ambient monitoring data of six air pollutants were analyzed from Jan 1 to Apr 11 in both 2020 and 2019. Our results showed that the six ambient pollutants concentrations were much lower during the COVID-19 lockdown due to a great reduction of anthropogenic emissions. BTH suffered from air pollution more seriously in comparison of YRD, suggesting the differences in the industrial structures of these two regions. The significant difference between the normalized ratios of CO and NO

Indexed as

Air PollutantsAir PollutionCOVID-19BeijingChinaCommunicable Disease ControlEnvironmental MonitoringHumansPandemicsParticulate MatterSARS-CoV-2Air PollutantsParticulate MatterAir pollutionAnthropogenic emissionsCOVID-19Health risks

Identifiers

PMID33711659
PMCPMC7927583

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.