Evidence map›Paper›PMID 32930589›Full record

ArticleEnvironmental science & technology2020

Predicting Fine Spatial Scale Traffic Noise Using Mobile Measurements and Machine Learning.

Xiaozhe Yin, Masoud Fallah-Shorshani, Rob McConnell, Scott Fruin, Meredith Franklin

Abstract read
In one paragraph

Article in Environmental science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Xiaozhe YinDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States.ORCID 0000-0002-1712-1189
Masoud Fallah-ShorshaniDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States.
Rob McConnellDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States.
Scott FruinDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States.
Meredith FranklinDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States.ORCID 0000-0003-3802-8829

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
NIEHS NIH HHS P30 ES007048
6 · The paper itself

Abstract

Environmental noise has been associated with a variety of health endpoints including cardiovascular disease, sleep disturbance, depression, and psychosocial stress. Most population noise exposure comes from vehicular traffic, which produces fine-scale spatial variability that is difficult to characterize using traditional fixed-site measurement techniques. To address this challenge, we collected A-weighted, equivalent noise (LAeq in decibels, dB

Indexed as

Noise, TransportationEnvironmental MonitoringLinear ModelsMachine LearningNeural Networks, Computer

Identifiers

PMID32930589
PMCPMC11842164

What OpenQuestion holds

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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.