Evidence map›Paper›PMID 27144925›Full record

ArticlePloS one2016

Environmental Conditions Associated with Elevated Vibrio parahaemolyticus Concentrations in Great Bay Estuary, New Hampshire.

Erin A Urquhart, Stephen H Jones, Jong W Yu, Brian M Schuster, Ashley L Marcinkiewicz, Cheryl A Whistler, Vaughn S Cooper

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Seasonality ofApplied and environmental microbiology · 2026
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  8. TrackingMicrobiology spectrum · 2024
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  9. mBio · 2024
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  11. Review
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  18. Article
  19. Responses of Free-LivingFrontiers in microbiology · 2020
    Article
  20. Forecasting SeasonalInternational journal of environmental research and public health · 2019
    Article
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

7 authors.

Erin A UrquhartNortheast Center for Vibrio Disease and Ecology, University of New Hampshire, Durham, New Hampshire, United States of America.
Stephen H JonesNortheast Center for Vibrio Disease and Ecology, University of New Hampshire, Durham, New Hampshire, United States of America.
Jong W YuDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, United States of America.
Brian M SchusterDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, United States of America.
Ashley L MarcinkiewiczDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, United States of America.
Cheryl A WhistlerNortheast Center for Vibrio Disease and Ecology, University of New Hampshire, Durham, New Hampshire, United States of America.
Vaughn S CooperDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reports from state health departments and the Centers for Disease Control and Prevention indicate that the annual number of reported human vibriosis cases in New England has increased in the past decade. Concurrently, there has been a shift in both the spatial distribution and seasonal detection of Vibrio spp. throughout the region based on limited monitoring data. To determine environmental factors that may underlie these emerging conditions, this study focuses on a long-term database of Vibrio parahaemolyticus concentrations in oyster samples generated from data collected from the Great Bay Estuary, New Hampshire over a period of seven consecutive years. Oyster samples from two distinct sites were analyzed for V. parahaemolyticus abundance, noting significant relationships with various biotic and abiotic factors measured during the same period of study. We developed a predictive modeling tool capable of estimating the likelihood of V. parahaemolyticus presence in coastal New Hampshire oysters. Results show that the inclusion of chlorophyll a concentration to an empirical model otherwise employing only temperature and salinity variables, offers improved predictive capability for modeling the likelihood of V. parahaemolyticus in the Great Bay Estuary.

Indexed as

AnimalsBaysChlorophyllChlorophyll AEnvironmentHumansNew EnglandNew HampshireOstreidaeSalinitySeasonsTemperatureVibrio InfectionsVibrio parahaemolyticusWater MicrobiologyChlorophyllChlorophyll A

Identifiers

PMID27144925
PMCPMC4856376

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.