Evidence map›Paper›PMID 37264078›Full record

ArticleScientific reports2023

Spatiotemporal evolution characteristics and prediction analysis of urban air quality in China.

Yuanfang Du, Shibing You, Weisheng Liu, Tsering-Xiao Basang, Miao Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
1.5field-weighted citation impact, top 21% of its field
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, 12 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Yuanfang DuMathematical Department, Tibet University, Lhasa, Tibet, People's Republic of China. ruyier521@whu.edu.cn.
Shibing YouSchool of Economics and Management, Wuhan University, Wuhan, Hubei, China.
Weisheng LiuSchool of Economics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, People's Republic of China.
Tsering-Xiao BasangMathematical Department, Tibet University, Lhasa, Tibet, People's Republic of China. basangtu@qq.com.
Miao ZhangSchool of Economics and Management, Wuhan University, Wuhan, Hubei, China.
Tibet University · CNWuhan University · CNJiangxi University of Finance and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To describe the spatiotemporal variations characteristics and future trends of urban air quality in China, this study evaluates the spatiotemporal evolution features and linkages between the air quality index (AQI) and six primary pollution indicators, using air quality monitoring data from 2014 to 2022. Seasonal autoregressive integrated moving average (SARIMA) and random forest (RF) models are created to forecast air quality. (1) The study's findings indicate that pollution levels and air quality index values in Chinese cities decline annually, following a "U"-shaped pattern with a monthly variation. The pollutant levels are high in winter and low in spring, and low in summer and rising in the fall (O

Identifiers

PMID37264078
PMCPMC10235078
OpenAlexW4379053281

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.