Evidence map›Paper›PMID 36981647›Full record

ArticleInternational journal of environmental research and public health2023

Predicting Fecal Indicator Bacteria Using Spatial Stream Network Models in A Mixed-Land-Use Suburban Watershed in New Jersey, USA.

Tsung-Ta David Hsu, Danlin Yu, Meiyin Wu

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Article in International journal of environmental research and public health, 2023. 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

3 authors.

Tsung-Ta David HsuNew Jersey Center for Water Science and Technology, Montclair State University, Montclair, NJ 07043, USA.
Danlin YuDepartment of Earth and Environmental Studies, Montclair State University, Montclair, NJ 07043, USA.ORCID 0000-0002-4470-7011
Meiyin WuNew Jersey Center for Water Science and Technology, Montclair State University, Montclair, NJ 07043, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Good water quality safeguards public health and provides economic benefits through recreational opportunities for people in urban and suburban environments. However, expanding impervious areas and poorly managed sanitary infrastructures result in elevated concentrations of fecal indicator bacteria and waterborne pathogens in adjacent waterways and increased waterborne illness risk. Watershed characteristics, such as urban land, are often associated with impaired microbial water quality. Within the proximity of the New York-New Jersey-Pennsylvania metropolitan area, the Musconetcong River has been listed in the Clean Water Act's 303 (d) List of Water Quality-Limited Waters due to high concentrations of fecal indicator bacteria (FIB). In this study, we aimed to apply spatial stream network (SSN) models to associate key land use variables with

Indexed as

Escherichia coliRiversBacteriaEnvironmental MonitoringFecesHumansNew JerseyWater Microbiologyfecal indicator bacterialand usemicrobial water quality modelingspatial autocorrelationspatial stream network modelsurban and suburban water quality

Identifiers

PMID36981647
PMCPMC10049084

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read12
measurements read31
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.