Your browser doesn't support javascript.
loading
Public health use and lessons learned from a statewide SARS-CoV-2 wastewater monitoring program (MiNET).
D'Souza, Nishita; Porter, Alexis M; Rose, Joan B; Dreelin, Erin; Peters, Susan E; Nowlin, Penny J; Carbonell, Samantha; Cissell, Kyle; Wang, Yili; Flood, Matthew T; Rachmadi, Andri T; Xi, Chuanwu; Song, Peter; Briggs, Shannon.
Afiliación
  • D'Souza N; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA.
  • Porter AM; Annis Water Resources Insititute, Grand Valley State University, Muskegon, MI, USA.
  • Rose JB; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA.
  • Dreelin E; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA.
  • Peters SE; Michigan Department of Health and Human Services, Lansing, MI, USA.
  • Nowlin PJ; Northern Michigan Regional Laboratory, Gaylord, MI, USA.
  • Carbonell S; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, USA.
  • Cissell K; Saginaw Valley State University, Michigan, USA.
  • Wang Y; University of Michigan, Ann Arbor, Michigan, USA.
  • Flood MT; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA.
  • Rachmadi AT; Institute of Environmental Science and Research (ESR), New Zealand.
  • Xi C; University of Michigan, Ann Arbor, Michigan, USA.
  • Song P; University of Michigan, Ann Arbor, Michigan, USA.
  • Briggs S; Michigan Department of Environment, Great Lakes, and Energy, Lansing, MI, USA.
Heliyon ; 10(16): e35790, 2024 Aug 30.
Article en En | MEDLINE | ID: mdl-39220928
ABSTRACT
The global SARS-CoV-2 monitoring effort has been extensive, resulting in many states and countries establishing wastewater-based epidemiology programs to address the spread of the virus during the pandemic. Challenges for programs include concurrently optimizing methods, training new laboratories, and implementing successful surveillance programs that can rapidly translate results for public health, and policy making. Surveillance in Michigan early in the pandemic in 2020 highlights the importance of quality-controlled data and explores correlations with wastewater and clinical case data aggregated at the state level. The lessons learned and potential measures to improve public utilization of results are discussed. The Michigan Network for Environmental Health and Technology (MiNET) established a network of laboratories that partnered with local health departments, universities, wastewater treatment plants (WWTPs) and other stakeholders to monitor SARS-CoV-2 in wastewater at 214 sites in Michigan. MiNET consisted of nineteen laboratories, twenty-nine local health departments, 6 Native American tribes, and 60 WWTPs monitoring sites representing 45 % of Michigan's population from April 6 and December 29, 2020. Three result datasets were created based on quality control criteria. Wastewater results that met all quality assurance criteria (Dataset Mp) produced strongest correlations with reported clinical cases at 16 days lag (rho = 0.866, p < 0.05). The project demonstrated the ability to successfully track SARS-CoV-2 on a large, state-wide scale, particularly data that met the outlined quality criteria and provided an early warning of increasing COVID-19 cases. MiNET is currently poised to leverage its competency to complement public health surveillance networks through environmental monitoring for new and emerging pathogens of concern and provides a valuable resource to state and federal agencies to support future responses.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido