Evidence map›Paper›PMID 36293627›Full record

ArticleInternational journal of environmental research and public health2022

Air Pollution (PM

Sunmin Jun, Mengying Li, Juchul Jung

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Spatio-Temporal Distribution Characteristics and Drivers of PMInternational journal of environmental research and public health · 2023
    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

3 authors.

Sunmin JunBK21PLUS, Department of Urban Planning and Engineering, Pusan National University, Busan 46241, Korea.ORCID 0000-0002-9707-1205
Mengying LiDepartment of Urban Planning and Engineering, Pusan National University, Busan 46241, Korea.
Juchul JungDepartment of Urban Planning and Engineering, Pusan National University, Busan 46241, Korea.

Funding

National Research Foundation of Korea NRF-2019K1A3A9A01000003
6 · The paper itself

Abstract

This study investigated the effect of the concentration of ambient fine particulate matter (PM2.5), a transboundary air pollutant, on the livability of neighboring areas of China and South Korea with the aim of informing common policy development. Grey relational analysis (GRA) and panel regression analysis were performed to examine the effect of PM2.5 concentration on various livability indicators. The results revealed that urban living infrastructure was an indicator of effect in both South Korea and China. Based on the high correlation between urban living infrastructure and PM2.5 concentration, it can be seen that PM2.5 clearly affects livability, shown by panel regression analysis. Other key livability indicators were traffic safety, culture and leisure, and climate indicators. Spatial analysis of the livability index revealed that from 2015 to 2019, livability improved in both South Korea and China, but there was a clear difference in the spatial distribution in China. High-vulnerability areas showed potential risks that can reduce livability in the long run. In South Korea and China, areas surrounding large cities were found to be highly vulnerable. The findings of this research can guide the establishment of policies grading PM2.5 pollution at the regional or city macro-level.

Indexed as

Air PollutantsAir PollutionChinaCitiesEnvironmental MonitoringParticulate MatterAir PollutantsParticulate MatterChinagrey relational analysisKorealivabilityliving conditionstransboundaryvulnerability to PM2.5

Identifiers

PMID36293627
PMCPMC9602294

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.