Evidence map›Paper›PMID 35010580›Full record

ArticleInternational journal of environmental research and public health2021

A Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PM

Yuan Shi, Alexis Kai-Hon Lau, Edward Ng, Hung-Chak Ho, Muhammad Bilal

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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

5 authors.

Yuan ShiInstitute of Future Cities (IOFC), The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0003-4011-8735
Alexis Kai-Hon LauDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.ORCID 0000-0003-3802-828X
Edward NgInstitute of Future Cities (IOFC), The Chinese University of Hong Kong, Hong Kong, China.
Hung-Chak HoDepartment of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
Muhammad BilalLab of Environmental Remote Sensing (LERS), School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.ORCID 0000-0003-1022-3999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor air quality has been a major urban environmental issue in large high-density cities all over the world, and particularly in Asia, where the multiscale complex of pollution dispersal creates a high-level spatial variability of exposure level. Investigating such multiscale complexity and fine-scale spatial variability is challenging. In this study, we aim to tackle the challenge by focusing on PM

Indexed as

Air PollutantsAir PollutionAerosolsEnvironmental MonitoringParticulate MatterAerosolsAir PollutantsParticulate Mattergeographic information systemmultiscalemulti-source datasetsPM2.5spatial variability

Identifiers

PMID35010580
PMCPMC8751171

What OpenQuestion holds

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LicenceCC BY
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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.