Evidence map›Paper›PMID 41853773›Full record

ArticleLancet regional health. Americas2026

Enterovirus D68 in United States wastewater: a longitudinal surveillance study integrating climatic, demographic, and clinical data.

Sheena Conforti, Alessandro Zulli, Alexandria B Boehm

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 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

3 authors.

Sheena ConfortiDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, United States of America.
Alessandro ZulliDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, United States of America.
Alexandria B BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Enterovirus D68 (EV-D68) can cause severe respiratory illness and acute flaccid myelitis (AFM), but limited clinical testing and sparse surveillance data hinder the ability to address epidemiological questions about its circulation. This study aimed to characterize EV-D68 seasonality across the U.S. using wastewater data, evaluate the influence of climatic and sociodemographic factors, and compare trends with symptom-based clinical indicators. Methods: We analyzed 43,876 samples collected from 147 wastewater treatment plants across 40 U.S. states between July 2023 and July 2025 to quantify EV-D68 RNA in wastewater solids and estimate the seasonal peak and season duration. We evaluated climatic and sociodemographic drivers of variation and compared wastewater trends with symptom-based clinical diagnoses for AFM, wheezing, and enterovirus retrieved from Epic Cosmos, a nationwide electronic health record-based research network, representing 4.5 billion encounters during the same study period. Findings: We observed a biennial EV-D68 pattern with a national peak in September 2024 and an extended 20-month period of detection in California. Seasonal peaks occurred 28-31 days earlier in regions with 5 °C higher temperatures or dew points. Season duration was longer by 7-11 weeks in dense, urban catchments with more childcare facilities, crowded households, hospitals, and nursing homes. Wastewater concentrations correlated positively with enterovirus diagnoses (Spearman ρ = 0.34, p = 0.01) and negatively with wheezing in adults ≥65 years (ρ = -0.49, p < 0.0001). Interpretation: Wastewater surveillance can generate epidemiological metrics for EV-D68 without clinical surveillance data, identify where and when activity increases, and reveal the environmental and demographic factors driving these patterns. Wastewater surveillance offers high-resolution data for pathogens with diagnostic testing constraints and provides information that can strengthen epidemiological modeling and support preparedness for future disease waves. Funding: Sergey Brin Family Foundation.

Indexed as

ClimateDemographicEnterovirus D68EpidemiologyRespiratory virusSeasonality

Identifiers

PMID41853773
PMCPMC12993338

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.