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Grant: Alliance Grants

University of Waterloo

$150,000.00

Improving wastewater-based surveillance of high-risk substances

EF 2024-25

Résumé
Wastewater-based surveillance (WBS) is an emerging approach to monitor pathogens and substances in sewers as a way of tracking their presence and spread in communities. During the COVID-19 pandemic, WBS developed into a powerful tool, applied globally, for tracking the prevalence of disease in communities and informing public health actions. Trends in the viral load of SARS-CoV-2 in wastewater correlated well with clinical cases and hospitalizations and allowed for rapid determination of the emergence of key sub-lineages of the virus. This approach, that does not require sampling of individuals, has now been adapted for detection of many other pathogens and high-risk substances (including illicit drugs) that impact the health and well-being of our communities. The opioid crisis has emerged globally and is adversely impacting communities across Canada, with more than 8,000 deaths annually. The increased use of high-risk substances (e.g.., drugs of abuse) and introduction of new substances and additives to the drug supply intensified during the pandemic period. This project will apply the experience gained from WBS for pathogens during the pandemic to enhance its application to the toxic drug crisis that continues to impact our society. This project will improve methods to detect a diversity of high-risk substances, including their metabolites, and chemical forms (i.e., isomers and enantiomers). It will also assess approaches to model and reduce variability in wastewater measurements, so that local and national surveillance trends can be made more informative and potentially more actionable. Although not a solution, improved WBS can be an additional valuable tool in supporting public health practitioners in their efforts to address the toxic drug crisis. In addition, looking downstream, improved methods will be applied to predict the fate and exposure of these potential contaminants to aquatic ecosystems, supporting future environmental risk assessment and management.
Programme
Alliance Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
597566-2024
Name nom
Servos, Mark MR
Department département
Biology
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
150000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
6406
Research subject group en
Life sciences research related to human health and disease
Research subject group fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Research subject en
Epidemiology
Research subject fr
Épidémiologie
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Improving wastewater-based surveillance of high-risk substances
Keywords
analytical chemistry; chiral compounds; drugs of abuse; ecotoxicology; environmental chemistry; environmental modelling; exposure assessment; harm reduction; municipal wastewater; wastewater-based survellance
Application summary
Wastewater-based surveillance (WBS) is an emerging approach to monitor pathogens and substances in sewers as a way of tracking their presence and spread in communities. During the COVID-19 pandemic, WBS developed into a powerful tool, applied globally, for tracking the prevalence of disease in communities and informing public health actions. Trends in the viral load of SARS-CoV-2 in wastewater correlated well with clinical cases and hospitalizations and allowed for rapid determination of the emergence of key sub-lineages of the virus. This approach, that does not require sampling of individuals, has now been adapted for detection of many other pathogens and high-risk substances (including illicit drugs) that impact the health and well-being of our communities. The opioid crisis has emerged globally and is adversely impacting communities across Canada, with more than 8,000 deaths annually. The increased use of high-risk substances (e.g.., drugs of abuse) and introduction of new substances and additives to the drug supply intensified during the pandemic period. This project will apply the experience gained from WBS for pathogens during the pandemic to enhance its application to the toxic drug crisis that continues to impact our society. This project will improve methods to detect a diversity of high-risk substances, including their metabolites, and chemical forms (i.e., isomers and enantiomers). It will also assess approaches to model and reduce variability in wastewater measurements, so that local and national surveillance trends can be made more informative and potentially more actionable. Although not a solution, improved WBS can be an additional valuable tool in supporting public health practitioners in their efforts to address the toxic drug crisis. In addition, looking downstream, improved methods will be applied to predict the fate and exposure of these potential contaminants to aquatic ecosystems, supporting future environmental risk assessment and management.