Evidence map›Paper›PMID 38135071›Full record

ArticleThe Science of the total environment2024

Correlation of wastewater surveillance data with traditional influenza surveillance measures in Cook County, Illinois, October 2022-April 2023.

Emily A G Faherty, Deniz Yuce, Colin Korban, Kelley Bemis, Rishi Kowalski, Stephanie Gretsch, Enrique Ramirez, Rachel Poretsky, Aaron Packman, Katelyn Plaisier Leisman and 4 more

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Emily A G FahertyEpidemic Intelligence Service, Centers for Disease Control and Prevention, United States of America; Chicago Department of Public Health, United States of America. Electronic address: tqy5@cdc.gov.
Deniz YuceChicago Department of Public Health, United States of America.
Colin KorbanChicago Department of Public Health, United States of America.
Kelley BemisCook County Department of Public Health, United States of America.
Rishi KowalskiCook County Department of Public Health, United States of America.
Stephanie GretschChicago Department of Public Health, United States of America.
Enrique RamirezChicago Department of Public Health, United States of America.
Rachel PoretskyUniversity of Illinois Chicago, United States of America.
Aaron PackmanNorthwestern University, United States of America.
Katelyn Plaisier LeismanNorthwestern University, United States of America.
Melissa PierceUniversity of Illinois System, Discovery Partners Institute, United States of America.
Alyse KittnerChicago Department of Public Health, United States of America.
Richard TeranEpidemic Intelligence Service, Centers for Disease Control and Prevention, United States of America; Chicago Department of Public Health, United States of America.
Massimo PacilliChicago Department of Public Health, United States of America.
Chicago Department of Public Health · USCook County Department of Public Health · USNorthwestern University · USCenters for Disease Control and Prevention · USUniversity of Illinois Chicago · USUniversity of Illinois System · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Influenza is a respiratory illness that can result in serious outcomes, particularly among persons who are immunocompromised, aged <5 years or aged >65 years. Traditional influenza surveillance approaches rely upon syndromic surveillance of emergency departments and public health reporting from clinicians and laboratories. Wastewater surveillance infrastructure developed to monitor SARS-CoV-2 is being used for influenza surveillance in the Chicago area. The goal was to evaluate timeliness and correlations between influenza virus detected through wastewater surveillance and traditional influenza surveillance measures to assess utility of wastewater surveillance for influenza at the county level. Specifically, we measured correlations between influenza virus gene copies in wastewater samples and 1) the number of intensive care unit admissions associated with a diagnosis of influenza, 2) the percentage emergency department (ED) visits for influenza-like-illness, and 3) the percentage of ED visits with influenza diagnosis at discharge

Indexed as

Influenza, HumanHumansIllinoisSentinel SurveillanceWastewaterWastewater-Based Epidemiological MonitoringWastewaterInfluenzaWastewater-based epidemiologyWastewater surveillance

Identifiers

PMID38135071
PMCPMC10913165
OpenAlexW4390034929

What OpenQuestion holds

Textmetadata
LicenceTDM
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.