Evidence map›Paper›PMID 30087362›Full record

ArticleScientific reports2018

Classification and Regression Tree Approach for Prediction of Potential Hazards of Urban Airborne Bacteria during Asian Dust Events.

Keunje Yoo, Hyunji Yoo, Jae Min Lee, Sudheer Kumar Shukla, Joonhong Park

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Review
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  8. AJournal of microbiology and biotechnology · 2020
    Article
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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.

Keunje YooDepartment of Civil and Environmental Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Hyunji YooDepartment of Civil and Environmental Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Jae Min LeeDepartment of Earth System Sciences, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Sudheer Kumar ShuklaDepartment of Built and Natural Environment, Caledonian College of Engineering, Seeb, Sultanate of Oman.ORCID 0000-0001-6978-6193
Joonhong ParkDepartment of Civil and Environmental Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. parkj@yonsei.ac.kr.

Funding

National Research Foundation of Korea (NRF) 2008-0062609
6 · The paper itself

Abstract

Despite progress in monitoring and modeling Asian dust (AD) events, real-time public hazard prediction based on biological evidence during AD events remains a challenge. Herein, both a classification and regression tree (CART) and multiple linear regression (MLR) were applied to assess the applicability of prediction for potential urban airborne bacterial hazards during AD events using metagenomic analysis and real-time qPCR. In the present work, Bacillus cereus was screened as a potential pathogenic candidate and positively correlated with PM

Indexed as

Air MicrobiologyAir PollutantsAir PollutionAlgorithmsAsiaBacteriaDustEnvironmental MonitoringHigh-Throughput Nucleotide SequencingModels, TheoreticalParticulate MatterRegression AnalysisRNA, Ribosomal, 16SUrban HealthAir PollutantsDustParticulate MatterRNA, Ribosomal, 16S

Identifiers

PMID30087362
PMCPMC6081373

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.