Evidence map›Paper›PMID 42259551›Full record

ArticleEnvironmental microbiology reports2026

Seasonal Analysis of Candida auris Detection Rates at 80 Wastewater Monitoring Sites in the United States, December 2023-November 2024.

Jorge Chavez, Alessandro Zulli, Dustin Duffy, Mariya Campbell, Meghan Lyman, Angela Coulliette-Salmond, D Joseph Sexton

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2026. 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

7 authors.

Jorge ChavezClinical Environmental Microbiology Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-4070-0856
Alessandro ZulliDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.
Dustin DuffyClinical Environmental Microbiology Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mariya CampbellClinical Environmental Microbiology Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Meghan LymanMycotic Diseases Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Angela Coulliette-SalmondClinical Environmental Microbiology Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
D Joseph SextonClinical Environmental Microbiology Branch, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-3099-7334

Funding

Oak Ridge Institute for Science and EducationSergey Brin Family Foundation
6 · The paper itself

Abstract

Candida auris is an emerging fungal pathogen known to cause outbreaks in healthcare settings that are difficult to control. Here, data from 80 wastewater treatment plants were collected between December 2023 and November 2024 to compare C. auris seasonal detection rates across the four meteorological seasons. The mean C. auris seasonal detection rate communicated as a percentage (((# of detections per site/# test days per site)/# total sites)*100) was highest in the summer (7%), followed by fall (4%), spring (4%) and winter (2%). A Kruskal-Wallis test identified a significant difference between the seasons (H = 43.6, p < 0.0001) and a Dunn's post hoc test with Bonferroni correction identified pairwise differences between summer and each of the other seasons (p < 0.05). Statistical significance and 95% confidence intervals (CI) were further assessed by a bootstrapping analysis that also identified a significant difference between summer and all other seasons (p < 0.01). Proportionally, 39 (48%) sites had their highest seasonal detection rate in summer, followed by 21 (27%) in fall, 15 (18%) in spring and five (7%) in winter. These results collectively document elevated C. auris seasonal detection rates in summer, providing new context to apply C. auris wastewater surveillance.

Indexed as

CandidaCandida aurisEnvironmental MonitoringSeasonsWastewaterUnited StatesWastewaterantimicrobial resistanceCandida aurisfungipublic healthseasonalwastewater

Identifiers

PMID42259551
PMCPMC13246258

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.