Evidence map›Paper›PMID 36568861›Full record

ArticleEcological informatics2022

Chang impact analysis of level 3 COVID-19 alert on air pollution indicators using artificial neural network.

Guan-Yu Lin, Wei-Yea Chen, Shao-Heng Chieh, Yi-Tsung Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecological informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guan-Yu LinDepartment of Environmental Science and Engineering, Tunghai University, Taichung 407302, Taiwan.
Wei-Yea ChenDepartment of Environmental Science and Engineering, Tunghai University, Taichung 407302, Taiwan.
Shao-Heng ChiehDepartment of Environmental Science and Engineering, Tunghai University, Taichung 407302, Taiwan.
Yi-Tsung YangDepartment of Environmental Science and Engineering, Tunghai University, Taichung 407302, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, mean monthly and diurnal variations in fine particulate matters (PM

Indexed as

And SO42− predictionArtificial neural networkLevel 3 COVID-19 alertMeteorological effect factorsNO3−NOxO3

Identifiers

PMID36568861
PMCPMC9760264

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.