Evidence map›Paper›PMID 39467695›Full record

ArticleJournal of microbiology and biotechnology2024

Distributions of Fecal Indicators at Aquaculture Areas in a Bay of Republic of Korea.

SungJun Park, Cheonghoon Lee, Sung Jae Jang, Kyuseon Cho, Jin Hwi Kim, Woon-Ki Kim, Joo-Hyon Kang, Kwon-Sam Park, GwangPyo Ko

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 2024. 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

9 authors.

SungJun ParkDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Cheonghoon LeeDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Sung Jae JangDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Kyuseon ChoDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Jin Hwi KimDepartment of Civil and Environmental Engineering, Konkuk University-Seoul, Seoul 05029, Republic of Korea.
Woon-Ki KimDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Joo-Hyon KangDepartment of Civil and Environmental Engineering, Dongguk University, Seoul 04620, Republic of Korea.
Kwon-Sam ParkDepartment of Food Science and Biotechnology, Kunsan National University, Gunsan 54150, Republic of Korea.
GwangPyo KoDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaculture products, such as clams, scallops, and oysters, are major vectors of fecal-derived pathogens. Male-specific and somatic coliphages are strongly correlated with human noroviruses, the major enteric viruses worldwide. Geographic information system with local land-use patterns can also provide valuable information for tracking sources of fecal-derived pathogens. We examined distributions of four fecal indicator microorganisms,

Indexed as

AquacultureBaysColiphagesEscherichia coliFecesRiversSeawaterWater MicrobiologyAnimalsEnterobacteriaceaeEnvironmental MonitoringHumansRepublic of KoreaSeasonsFecal contaminationfecal indicatorgeographical information systemmale-specific coliphagemicrobial source trackingsomatic coliphage

Identifiers

PMID39467695
PMCPMC11637822

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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.