Evidence map›Paper›PMID 39935746›Full record

ArticleFrontiers in public health2024

Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017.

Irene Xagoraraki, Liang Zhao, Yabing Li, Brijen Miyani, John Norton, James Broz, Andrew Kaye, Anna Mehrotra, Anil Gosine, Scott Withington and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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

12 authors.

Irene XagorarakiDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Liang ZhaoDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Yabing LiDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Brijen MiyaniDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
John NortonGreat Lakes Water Authority, Detroit, MI, United States.
James BrozCDM Smith, Detroit, MI, United States.
Andrew KayeCDM Smith, Detroit, MI, United States.
Anna MehrotraWater Environment Federation, Washington, DC, United States.
Anil GosineDetroit Water and Sewerage Department, Detroit, MI, United States.
Scott WithingtonDetroit Health Department, Detroit, MI, United States.
Stacey McFarlaneMacomb County Health Division, Mount Clemens, MI, United States.
Russell A FaustOakland County Health Division, Pontiac, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Tri-County Detroit Area (TCDA) is the 12th most populous metropolitan area in the United States with over three million people. Multiple communicable diseases are endemic in the TCDA. In 2017, to explore innovative methods that may provide early warnings of outbreaks affecting populations in the TCDA, an exploratory partnership that was funded by a U.S. National Science Foundation Early-concept Grant for Exploratory Research (EAGER) began. Since 2017, a project team including the College of Engineering at Michigan State University (MSU), the City of Detroit, the Great Lakes Water Authority (GLWA), industry, and local government and health departments, has been testing municipal wastewater from the TCDA to survey and predict surges in communicable diseases in the area. This ongoing effort started years before wastewater-based epidemiology became a widespread method in public health practice, due to the COVID-19 pandemic, and is now supported by the U.S. Centers for Disease Control and Prevention (CDC). The work of the partnership led to significant breakthroughs in the field of wastewater surveillance/wastewater epidemiology. The results of our surveillance efforts are used to assist local health departments in their understanding and response efforts for health issues in the TCDA, facilitating public health messaging for local awareness, targeted clinical testing, and increased vaccination efforts. Our data are available to the local health departments, and our methodological advancements are published and have been used by other communities nationwide and beyond. This paper describes the partnership, lessons learned, significant achievements, and provides a look into the future. The successful implementations and advancements of wastewater surveillance in the TCDA advocate the importance of frequent communications and interactions within the partnership, idea generations from each stakeholder for decision-making, maintenance of scientific rigor, ethical awareness, and more.

Indexed as

COVID-19Disease OutbreaksWastewaterAcademiaHumansIndustryMichiganPublic HealthUniversitiesWastewateracademia-industry-government partnershipcommunicable diseasespredictionSARS-CoV-2screeningwastewater surveillance

Identifiers

PMID39935746
PMCPMC11810916

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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.