Evidence map›Paper›PMID 37457240›Full record

ArticleFrontiers in public health2023

Expansion of wastewater-based disease surveillance to improve health equity in California's Central Valley: sequential shifts in case-to-wastewater and hospitalization-to-wastewater ratios.

Krystin F Kadonsky, Colleen C Naughton, Mirjana Susa, Rachel Olson, Guadalupe L Singh, Maria L Daza-Torres, J Cricelio Montesinos-López, Yury Elena Garcia, Maftuna Gafurova, Adam Gushgari and 6 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

16 authors.

Krystin F KadonskyDepartment of Civil and Environmental Engineering, University of California, Merced, Merced, CA, United States.
Colleen C NaughtonDepartment of Civil and Environmental Engineering, University of California, Merced, Merced, CA, United States.
Mirjana SusaDepartment of Public Health Sciences, University of California, Davis, Davis, CA, United States.
Rachel OlsonDepartment of Civil and Environmental Engineering, University of California, Davis, Davis, CA, United States.
Guadalupe L SinghDepartment of Civil and Environmental Engineering, University of California, Merced, Merced, CA, United States.
Maria L Daza-TorresDepartment of Public Health Sciences, University of California, Davis, Davis, CA, United States.
J Cricelio Montesinos-LópezDepartment of Public Health Sciences, University of California, Davis, Davis, CA, United States.
Yury Elena GarciaDepartment of Public Health Sciences, University of California, Davis, Davis, CA, United States.
Maftuna GafurovaEurofins Environment Testing US, West Sacramento, CA, United States.
Adam GushgariEurofins Environment Testing US, West Sacramento, CA, United States.
John CosgroveEurofins Environment Testing US, West Sacramento, CA, United States.
Bradley J WhiteVerily Life Sciences, South San Francisco, CA, United States.
Alexandria B BoehmDepartment of Civil & Environmental Engineering, School of Engineering and Doerr School of Sustainability, Stanford University, Stanford, CA, United States.
Marlene K WolfeGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Miriam NuñoDepartment of Public Health Sciences, University of California, Davis, Davis, CA, United States.
Heather N BischelDepartment of Civil and Environmental Engineering, University of California, Davis, Davis, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Over a third of the communities (39%) in the Central Valley of California, a richly diverse and important agricultural region, are classified as disadvantaged-with inadequate access to healthcare, lower socio-economic status, and higher exposure to air and water pollution. The majority of racial and ethnic minorities are also at higher risk of COVID-19 infection, hospitalization, and death according to the Centers for Disease Control and Prevention. Healthy Central Valley Together established a wastewater-based disease surveillance (WDS) program that aims to achieve greater health equity in the region through partnership with Central Valley communities and the Sewer Coronavirus Alert Network. WDS offers a cost-effective strategy to monitor trends in SARS-CoV-2 community infection rates. Methods: In this study, we evaluated correlations between public health and wastewater data (represented as SARS-CoV-2 target gene copies normalized by pepper mild mottle virus target gene copies) collected for three Central Valley communities over two periods of COVID-19 infection waves between October 2021 and September 2022. Public health data included clinical case counts at county and sewershed scales as well as COVID-19 hospitalization and intensive care unit admissions. Lag-adjusted hospitalization:wastewater ratios were also evaluated as a retrospective metric of disease severity and corollary to hospitalization:case ratios. Results: Consistent with other studies, strong correlations were found between wastewater and public health data. However, a significant reduction in case:wastewater ratios was observed for all three communities from the first to the second wave of infections, decreasing from an average of 4.7 ± 1.4 over the first infection wave to 0.8 ± 0.4 over the second. Discussion: The decline in case:wastewater ratios was likely due to reduced clinical testing availability and test seeking behavior, highlighting how WDS can fill data gaps associated with under-reporting of cases. Overall, the hospitalization:wastewater ratios remained more stable through the two waves of infections, averaging 0.5 ± 0.3 and 0.3 ± 0.4 over the first and second waves, respectively.

Indexed as

COVID-19Health EquityCaliforniaHospitalizationHumansRetrospective StudiesSARS-CoV-2United StatesWastewaterWastewaterCOVID-19environmental surveillancehealth metricsSARS-CoV-2wastewater clinical case ratios

Identifiers

PMID37457240
PMCPMC10348812

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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.