Evidence map›Paper›PMID 24874082›Full record

ArticlePloS one2014

Uncertainty in model predictions of Vibrio vulnificus response to climate variability and change: a Chesapeake Bay case study.

Erin A Urquhart, Benjamin F Zaitchik, Darryn W Waugh, Seth D Guikema, Carlos E Del Castillo

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Vibrio parahaemolyticus in the Chesapeake Bay: OperationalApplied and environmental microbiology · 2019
    Article
  4. Article
  5. Article
  6. Vibrio bacteria in raw oysters: managing risks to human health.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  7. Article
  8. 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

5 authors.

Erin A UrquhartDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, United States of America.
Benjamin F ZaitchikDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, United States of America.
Darryn W WaughDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, United States of America.
Seth D GuikemaDepartment of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
Carlos E Del CastilloOcean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect that climate change and variability will have on waterborne bacteria is a topic of increasing concern for coastal ecosystems, including the Chesapeake Bay. Surface water temperature trends in the Bay indicate a warming pattern of roughly 0.3-0.4°C per decade over the past 30 years. It is unclear what impact future warming will have on pathogens currently found in the Bay, including Vibrio spp. Using historical environmental data, combined with three different statistical models of Vibrio vulnificus probability, we explore the relationship between environmental change and predicted Vibrio vulnificus presence in the upper Chesapeake Bay. We find that the predicted response of V. vulnificus probability to high temperatures in the Bay differs systematically between models of differing structure. As existing publicly available datasets are inadequate to determine which model structure is most appropriate, the impact of climatic change on the probability of V. vulnificus presence in the Chesapeake Bay remains uncertain. This result points to the challenge of characterizing climate sensitivity of ecological systems in which data are sparse and only statistical models of ecological sensitivity exist.

Indexed as

ClimateClimate ChangeEcosystemUncertaintyVibrio vulnificusBaysDelawareMarylandModels, TheoreticalSalinityTemperatureVirginiaWater Microbiology

Identifiers

PMID24874082
PMCPMC4038616

What OpenQuestion holds

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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.