Evidence map›Paper›PMID 33096649›Full record

ArticleInternational journal of environmental research and public health2020

Spatiotemporal Big Data for PM

Hongbin He, Yonglin Shen, Changmin Jiang, Tianqi Li, Mingqiang Guo, Ling Yao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

6 authors.

Hongbin HeSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Yonglin ShenSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Changmin JiangSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Tianqi LiSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Mingqiang GuoSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Ling YaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-6120-5806

Funding

National Natural Science Foundation of China 41771380, 41701446, and 41971356
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM

Indexed as

Big DataCoronavirus InfectionsPandemicsPneumonia, ViralRisk AssessmentBetacoronavirusChinaCOVID-19Environmental ExposureHumansMiddle EastParticulate MatterSARS-CoV-2Spatio-Temporal AnalysisParticulate MatterCOVID-19empirical orthogonal function (EOF)geographic weighted regression (GWR)population distributionspatiotemporal big data

Identifiers

PMID33096649
PMCPMC7589865

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.