Evidence map›Paper›PMID 41492421›Full record

ArticleAJPM focus2026

Equity in Wastewater Surveillance: Assessment of the National Wastewater Surveillance System for COVID-19.

Nicole B Alkhouri, Victoria Fisher, Nadia N Abuelezam

Abstract read
In one paragraph

Article in AJPM focus, 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.

Nicole B AlkhouriClinical Center, Department of Family Medicine, Michigan State University College of Human Medicine, East Lansing, Michigan.
Victoria FisherClinical Center, Department of Family Medicine, Michigan State University College of Human Medicine, East Lansing, Michigan.
Nadia N AbuelezamClinical Center, Department of Family Medicine, Michigan State University College of Human Medicine, East Lansing, Michigan.

Funding

Advancing Methods in Infectious Diseases Models: Incorporating Structural CausesR35GM142863 · NIGMS · BOSTON COLLEGE · PI ABUELEZAM, NADIA NATASHA · 2021 to 2024
$1.6M
NIGMS NIH HHS R35 GM142863
6 · The paper itself

Abstract

Introduction: Wastewater surveillance has been used for COVID-19 detection, allowing for real-time responses to outbreaks and supplementing clinical testing, especially for vulnerable and under-resourced populations. The authors assessed the demographic and place-based inclusivity of the U.S. COVID-19 wastewater surveillance infrastructure overall and as surveillance expanded during the pandemic. Methods: The authors extracted data on U.S. counties represented by the National Wastewater Surveillance System between 2020 and 2024 from the Centers for Disease Control and Prevention and demographic and social determinants of health data from the American Community Survey. The authors used generalized linear mixed models with a logit link adjusted for population size and state as a random effect to examine whether race, public assistance, education, and disability status were associated with surveillance coverage. The authors also examined whether surveillance expansion was equitable by comparing the characteristics of initial versus widespread adopters using the Wilcoxon rank sum test. Results: Approximately 27% ( Conclusions: Demographic characteristics associated with marginalization were associated with lower odds of wastewater surveillance, highlighting disparities in and opportunities for expanding surveillance coverage across the U.S.

Indexed as

COVID-19health inequityNWSSwastewater surveillance

Identifiers

PMID41492421
PMCPMC12765189

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.