Evidence map›Paper›PMID 32901402›Full record

ArticleEnvironmental geochemistry and health2021

Spatio-temporal variation and daily prediction of PM

Dan Yan, Ying Kong, Bin Ye, Haitao Xiang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental geochemistry and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. PMEnvironmental geochemistry and health · 2022
    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

4 authors.

Dan YanTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, 518055, China.
Ying KongTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, 518055, China.
Bin YeSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. yeb@sustech.edu.cn.
Haitao XiangTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, 518055, China.

Funding

National Natural Science Foundation of China 71803182
6 · The paper itself

Abstract

The contradiction between the development of urban agglomerations and ecological protection has long been a challenging issue. China has experienced an astonishing expansion of its urban scale in the past 40 years, and nearly 783 million of the nation's people now live in cities. Beijing-Tianjin-Hebei, the Yangtze River Delta and the Pearl River Delta have been prioritized to become world-class clusters by 2020. The health effects of air pollution in these three urban agglomerations are becoming increasingly formidable. Given these conditions, using the daily mean PM

Indexed as

Air PollutantsChinaCitiesEnvironmental MonitoringForecastingHumansNeural Networks, ComputerParticulate MatterWeatherAir PollutantsParticulate MatterGRNNPM2.5 concentration predictionSpatio-temporal variationUrban agglomerations

Identifiers

PMID32901402

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.