Grant: Op Grant: COVID-19 Rapid Research FO - Social Policy and Public Health Responses
University of Alberta
$487,859.00
Detection and quantitation of SARS-CoV-2 in wastewater to conduct surveillance on burden of community infection, identify outbreaks and support public health decision-making on control measures for transmission of COVID-19
EF 2020-21
Résumé
COVID-19 has been sweeping the world for 6 months. The daily report about new cases, associated deaths and recoveries globally are mentally traumatic for everyone. However, the real number of people infected by this new coronavirus (SARS-CoV-2) may be far higher than official reported because current testing positive numbers counts only sick patients but not asymptomatic ones. Asymptomatic person is the most dangerous silent source for community transmission. A modeling study suggested that the virus might simmer around the world, triggering epidemics every few years. Thus, it would be important to predict the next wave of virus, which allows the government and people to be prepared. Recent studies have detected SARS-CoV-2 in stool as well as raw sewage. We also detected this virus in sewage collected from three different wastewater treatment plants (WWTP) in Alberta. It has been proposed that the occurrence and levels of SARS-CoV-2 in sewage will mirror temporal burden of community infection. Therefore, the aim of this study is to develop a reliable method to detect the prevalence of community infection and forecast the next wave of COVID-19 through monitoring SARS-CoV-2 in sewage. This will provide evidences on the presence and levels of virus in our community, when it will possibly flare up causing an outbreak, and when and why our health authorities give an order to applying or relaxing social distancing and masking measures for controlling virus spread. A mathematical model based on the results obtained from this study will be generated to predict the trend of community infection under different conditions. This research brings benefits and knowledge to every Albertan, and also give us a tool and measure against new coronavirus now and in future.
Programme
Op Grant: COVID-19 Rapid Research FO - Social Policy and Public Health Responses
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
430343
Name
Pang Xiaoli L
Region
Alberta
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
COVID-19 Rapid Research - Social Policy and Public Health Responses
Projecttitle
Detection and quantitation of SARS-CoV-2 in wastewater to conduct surveillance on burden of community infection, identify outbreaks and support public health decision-making on control measures for transmission of COVID-19
Programtype2
Operating Grants
Orgnameinp2
University of Alberta
Cihramount2
$487,859
Cihrequipment2
$0
Programname2
Op Grant: COVID-19 Rapid Research FO - Social Policy and Public Health Responses
Keyworddelim
Covid-19 Pandemic; Local, National And International Collaborative Efforts; Measure Of Community-Based Infection; Predict Re-Emergence Of Covid-19 Outbreak; Public Health Decision-Making; Real-Time Evidence To Support Rapis Response Interventions; Real-Time Molecular Detection And Quantitation Of Sars-Cov-2; Sars-Cov-2 In Sewage
Abstract
COVID-19 has been sweeping the world for 6 months. The daily report about new cases, associated deaths and recoveries globally are mentally traumatic for everyone. However, the real number of people infected by this new coronavirus (SARS-CoV-2) may be far higher than official reported because current testing positive numbers counts only sick patients but not asymptomatic ones. Asymptomatic person is the most dangerous silent source for community transmission. A modeling study suggested that the virus might simmer around the world, triggering epidemics every few years. Thus, it would be important to predict the next wave of virus, which allows the government and people to be prepared. Recent studies have detected SARS-CoV-2 in stool as well as raw sewage. We also detected this virus in sewage collected from three different wastewater treatment plants (WWTP) in Alberta. It has been proposed that the occurrence and levels of SARS-CoV-2 in sewage will mirror temporal burden of community infection. Therefore, the aim of this study is to develop a reliable method to detect the prevalence of community infection and forecast the next wave of COVID-19 through monitoring SARS-CoV-2 in sewage. This will provide evidences on the presence and levels of virus in our community, when it will possibly flare up causing an outbreak, and when and why our health authorities give an order to applying or relaxing social distancing and masking measures for controlling virus spread. A mathematical model based on the results obtained from this study will be generated to predict the trend of community infection under different conditions. This research brings benefits and knowledge to every Albertan, and also give us a tool and measure against new coronavirus now and in future.
Competitiondate
202005
Approvedterm2
1 yr 0 mth
Pinamesdelim
Pang, Xiaoli L; Hinshaw, Deena; Ashbolt, Nicholas J
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $487,859~ $0~