Evidence map›Paper›PMID 41938941›Full record

ArticleFrontiers in public health2026

Wastewater-based epidemiology to enhance public health preparedness and response during large-scale events: experiences from the 2024 Republican and Democratic National Conventions - Milwaukee, WI and Chicago, IL.

Peter M V DeJonge, Ian Pray, Rachel Poretsky, Martin Shafer, Sandra L McLellan, Alyse Kittner, Colin Korban, Dolores Sanchez Gonzalez, Adam Horton, Modou Lamin Jarju and 13 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

23 authors.

Peter M V DeJongeCareer Epidemiology Field Officer Program, Office of Readiness and Response, US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Ian PrayCareer Epidemiology Field Officer Program, Office of Readiness and Response, US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Rachel PoretskyUniversity of Illinois at Chicago, Department of Biological Sciences, Chicago, IL, United States.
Martin ShaferWisconsin State Laboratory of Hygiene, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Sandra L McLellanUniversity of Wisconsin - Milwaukee, School of Freshwater Sciences, Milwaukee, WI, United States.
Alyse KittnerChicago Department of Public Health, Chicago, IL, United States.
Colin KorbanChicago Department of Public Health, Chicago, IL, United States.
Dolores Sanchez GonzalezUniversity of Illinois at Chicago, Department of Biological Sciences, Chicago, IL, United States.
Adam HortonUniversity of Illinois at Chicago, Department of Biological Sciences, Chicago, IL, United States.
Modou Lamin JarjuUniversity of Illinois at Chicago, Department of Biological Sciences, Chicago, IL, United States.
Chi-Yu LinUniversity of Illinois at Chicago, Department of Biological Sciences, Chicago, IL, United States.
Erin P NewcomerRegional Innovative Public Health Laboratory, Rush University Medical Center, Chicago, IL, United States.
Hannah J BarbianRegional Innovative Public Health Laboratory, Rush University Medical Center, Chicago, IL, United States.
Stefan J GreenRegional Innovative Public Health Laboratory, Rush University Medical Center, Chicago, IL, United States.
Bernardo Burbano-AbrilUniversity of Illinois Urbana-Champaign, Chicago, IL, United States.
Nathan KloczkoWisconsin Department of Health Services, Madison, WI, United States.
Megan RasmussenWisconsin Department of Health Services, Madison, WI, United States.
Dagmara S AntkiewiczWisconsin State Laboratory of Hygiene, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Adélaïde RoguetWisconsin State Laboratory of Hygiene, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Devin EverettWisconsin State Laboratory of Hygiene, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Melissa K SchussmanUniversity of Wisconsin - Milwaukee, School of Freshwater Sciences, Milwaukee, WI, United States.
V Eloesa McSorleyChicago Department of Public Health, Chicago, IL, United States.
Peter RuestowChicago Department of Public Health, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Wastewater-based epidemiology (WBE) was implemented at the 2024 Republican and Democratic National Conventions (RNC and DNC, respectively), each with estimated attendances of >50,000 persons. In preparation, the Wisconsin and Chicago WBE programs (associated with the RNC and DNC response, respectively) developed monitoring strategies and response plans, prioritized additional pathogens, and further optimized laboratory workflows to ensure rapid, daily data reporting. Sampling was also conducted before the events to establish baselines, as well as after each event to monitor for residual community transmission. Methods: Surveillance was expanded from the four respiratory pathogens regularly assessed by both WBE programs (SARS-CoV-2, influenza A, influenza B, respiratory syncytial virus) to include 3 gastrointestinal pathogens (norovirus, Results: Between the RNC and DNC response, a total of 112 wastewater samples were collected and assayed to provide concentration data on as many as 11 distinct pathogens of interest. Concentration results for the suite of pathogens were available within 12 to 36 h of sample collection. In each instance when wastewater concentrations exceeded pre-established thresholds for action and flagged as an alert, other sources of contemporaneous public health surveillance information (e.g., clinical data) were used to corroborate the WBE findings. Conclusion: Existing WBE infrastructure in two U. S. cities was readily adapted for public health surveillance at two high-profile, large-scale events. Assays for additional event-relevant pathogens were quickly incorporated into routine laboratory workflows and data from wastewater samples were generated and reported with rapid turnaround-time. In considering the unique benefits of wastewater data, WBE results were a valuable supplement to other public health surveillance data in monitoring potential public health threats during these two large-scale events.

Indexed as

Public HealthWastewaterChicagoHumansPublic Health InfrastructureSARS-CoV-2Wastewater-Based Epidemiological MonitoringWisconsinWastewaterinfectious disease surveillance and early warninglarge scale eventspreparedness and responsepublic health surveillancewastewater based epidemiology

Identifiers

PMID41938941
PMCPMC13044080

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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.