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Grant: Alliance Grants

Laurentian University of Sudbury

$50,000.00

COVID-19 and targeting SARS-CoV-2 virus: Direct and RT-PCR sequences from wastewater collected from treatment plants (Sudbury - Ontario)_x000d_ _x000d_

FY 2020-21

Summary
We need to be able to rapidly and efficiently determine the presence and prevalence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in our communities and how this presence responds to the social and medical interventions. In many ways, the raw sewage of our cities is a fantastic genetic gold mine, particularly for the pathogens that collect there. We are planning to mine this genetic resource to detect and evaluate the presence of SARS-CoV-2 using a new genetic sequencing technology. This new technology can be applied to sequence the virus genome either directly or through specific variable genetic regions using different approaches. We propose to use these two methodologies to identify and quantify the presence of the pandemic virus in the sewage collection areas. This information will be used as to estimate the virus' spread and to following changes in the outbreak through time. These results will aid local government in making informed, evidence-based, decisions to help slow and control of the pandemic. Once the protocols and relationships are well established, we will be able to scale this project quickly and extend it to different geographic areas and populations. This project is the result of a partnership between Health Sciences North, Laurentian University and the City of Greater Sudbury established to combat the pandemic.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
555122-2020
Name nom
Merritt, Thomas
Department département
Chemistry and Biochemistry
Organization id
26
Institution établissement
Laurentian University of Sudbury
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
6400
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
Life sciences research related to human health and disease
Research subject fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
COVID-19 and targeting SARS-CoV-2 virus: Direct and RT-PCR sequences from wastewater collected from treatment plants (Sudbury - Ontario)_x000d_ _x000d_
Keyword
NSERC
Application summary
We need to be able to rapidly and efficiently determine the presence and prevalence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in our communities and how this presence responds to the social and medical interventions. In many ways, the raw sewage of our cities is a fantastic genetic gold mine, particularly for the pathogens that collect there. We are planning to mine this genetic resource to detect and evaluate the presence of SARS-CoV-2 using a new genetic sequencing technology. This new technology can be applied to sequence the virus genome either directly or through specific variable genetic regions using different approaches. We propose to use these two methodologies to identify and quantify the presence of the pandemic virus in the sewage collection areas. This information will be used as to estimate the virus' spread and to following changes in the outbreak through time. These results will aid local government in making informed, evidence-based, decisions to help slow and control of the pandemic. Once the protocols and relationships are well established, we will be able to scale this project quickly and extend it to different geographic areas and populations. This project is the result of a partnership between Health Sciences North, Laurentian University and the City of Greater Sudbury established to combat the pandemic.