Evidence map›Paper›PMID 35582473›Full record

ArticleIEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society2022

The Environmental Story During the COVID-19 Lockdown: How Human Activities Affect PM2.5 Concentration in China?

Zhenyu Tan, Xinghua Li, Meiling Gao, Liangcun Jiang

Abstract read
In one paragraph

Article in IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Classifier Fusion for Detection of COVID-19 from CT Scans.Circuits, systems, and signal processing · 2022
    Article
  4. Review
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

4 authors.

Zhenyu TanCollege of Urban and Environmental SciencesNorthwest University Xi'an 710127 China.ORCID https://orcid.org/0000-0003-0168-4216
Xinghua LiSchool of Remote Sensing and Information EngineeringWuhan University Wuhan 430079 China.ORCID https://orcid.org/0000-0002-2094-6480
Meiling GaoSchool of Geology Engineering and GeomaticsChang'an University Xi'an 710054 China.ORCID https://orcid.org/0000-0002-1003-4066
Liangcun JiangSchool of Remote Sensing and Information EngineeringWuhan University Wuhan 430079 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the end of 2019, the very first COVID-19 coronavirus infection was reported and then it spread across the world just like wildfires. From late January to March 2020, most cities and villages in China were locked down, and consequently, human activities decreased dramatically. This letter presents an "offline learning and online inference" approach to explore the variation of PM2.5 pollution during this period. In the experiments, a deep regression model was trained to establish the complex relationship between remote sensing data and

Indexed as

Absorbing Aerosol Index (AAI)Aerosol Optical Depth (AOD)COVID-19deep learningGoogle Earth Engine (GEE)PM25remote sensing

Identifiers

PMID35582473
PMCPMC8843045

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.