Evidence map›Paper›PMID 33930403›Full record

ArticleEnvironmental research2021

Persistent high PM

Ishaq Dimeji Sulaymon, Yuanxun Zhang, Philip K Hopke, Jianlin Hu, Yang Zhang, Lin Li, Xiaodong Mei, Kangjia Gong, Zhihao Shi, Bin Zhao and 1 more

Abstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Spatio-Temporal Distribution Characteristics and Drivers of PMInternational journal of environmental research and public health · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Comparison of PMAdvances in atmospheric sciences · 2022
    Article
  14. 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.

Ishaq Dimeji SulaymonCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yuanxun ZhangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen, 361021, China. Electronic address: yxzhang@ucas.ac.cn.
Philip K HopkeCenter for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, 13699, USA; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA.
Jianlin HuJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Yang ZhangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Lin LiJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Xiaodong MeiCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Kangjia GongJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Zhihao ShiJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Bin ZhaoAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, USA.
Fangxin ZhaoCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.

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

Lockdown measures to curtail the COVID-19 pandemic in China halted most non-essential activities on January 23, 2020. Despite significant reductions in anthropogenic emissions, the Beijing-Tianjin-Hebei (BTH) region still experienced high air pollution concentrations. Employing two emissions reduction scenarios, the Community Multiscale Air Quality (CMAQ) model was used to investigate the PM

Indexed as

Air PollutantsAir PollutionCOVID-19BeijingChinaCommunicable Disease ControlEnvironmental MonitoringHumansPandemicsParticulate MatterSARS-CoV-2Air PollutantsParticulate MatterBeijing-Tianjin-Hebei regionCOVID-19MeteorologyProlonged heavy hazeReduced anthropogenic emissionWRF-CMAQ

Identifiers

PMID33930403
PMCPMC9750169

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.