Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1475425/full |
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| author | Irene Xagoraraki Liang Zhao Yabing Li Brijen Miyani John Norton James Broz Andrew Kaye Anna Mehrotra Anil Gosine Scott Withington Stacey McFarlane Russell A. Faust |
| author_facet | Irene Xagoraraki Liang Zhao Yabing Li Brijen Miyani John Norton James Broz Andrew Kaye Anna Mehrotra Anil Gosine Scott Withington Stacey McFarlane Russell A. Faust |
| author_sort | Irene Xagoraraki |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2961edeb71f74f18868a89efc835eee5 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-2961edeb71f74f18868a89efc835eee52025-01-28T06:41:03ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011210.3389/fpubh.2024.14754251475425Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017Irene Xagoraraki0Liang Zhao1Yabing Li2Brijen Miyani3John Norton4James Broz5Andrew Kaye6Anna Mehrotra7Anil Gosine8Scott Withington9Stacey McFarlane10Russell A. Faust11Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United StatesDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United StatesDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United StatesDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United StatesGreat Lakes Water Authority, Detroit, MI, United StatesCDM Smith, Detroit, MI, United StatesCDM Smith, Detroit, MI, United StatesWater Environment Federation, Washington, DC, United StatesDetroit Water and Sewerage Department, Detroit, MI, United StatesDetroit Health Department, Detroit, MI, United StatesMacomb County Health Division, Mount Clemens, MI, United StatesOakland County Health Division, Pontiac, MI, United StatesThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1475425/fullwastewater surveillancepredictionscreeningSARS-CoV-2communicable diseasesacademia-industry-government partnership |
| spellingShingle | Irene Xagoraraki Liang Zhao Yabing Li Brijen Miyani John Norton James Broz Andrew Kaye Anna Mehrotra Anil Gosine Scott Withington Stacey McFarlane Russell A. Faust Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 Frontiers in Public Health wastewater surveillance prediction screening SARS-CoV-2 communicable diseases academia-industry-government partnership |
| title | Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 |
| title_full | Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 |
| title_fullStr | Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 |
| title_full_unstemmed | Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 |
| title_short | Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 |
| title_sort | community case study an academia industry government partnership that monitors and predicts outbreaks in tri county detroit area since 2017 |
| topic | wastewater surveillance prediction screening SARS-CoV-2 communicable diseases academia-industry-government partnership |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1475425/full |
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