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

Frontiers in Public Health, Год журнала: 2025, Номер 12

Опубликована: Янв. 28, 2025

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

Язык: Английский

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Harnessing Non-standard Nucleic Acids for Highly Sensitive Icosaplex (20-Plex) Detection of Microbial Threats for Environmental Surveillance

ACS Synthetic Biology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Environmental surveillance and clinical diagnostics heavily rely on the polymerase chain reaction (PCR) for target detection. A growing list of microbial threats warrants new PCR-based detection methods that are highly sensitive, specific, multiplexable. Here, we introduce a icosaplex (20-plex) assay detecting 18 enteropathogen two antimicrobial resistance genes. This multiplexed PCR leverages self-avoiding molecular recognition system (SAMRS) to avoid primer dimer formation, artificially expanded genetic information (AEGIS) amplification specificity, next-generation sequencing amplicon identification. Using parallelized multitarget TaqMan Array Cards (TAC) benchmark performance 20-plex wastewater, soil, human stool samples, found 90% agreement positive calls 89% negative calls. Additionally, show how long-read short-read from can be used further classify allelic variants genes distinguish subspecies. The strategy presented offers affordable, robust multiplex support efforts in wastewater-based epidemiology, environmental monitoring, human/animal diagnostics.

Язык: Английский

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Temporal, Spatial, and Methodological Considerations in Wastewater-Based Epidemiology for Sexually Transmitted Infections

ACS ES&T Water, Год журнала: 2025, Номер 5(5), С. 2533 - 2546

Опубликована: Апрель 28, 2025

Язык: Английский

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