Canadian International COVID-19 Surveillance Border Study
- Funded by Canadian Institutes of Health Research (CIHR)
- Total publications:0 publications
Grant number: 173702
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Key facts
Disease
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$1,875,000Funder
Canadian Institutes of Health Research (CIHR)Principal Investigator
Vivek Goel, Marek Jozef SmiejaResearch Location
CanadaLead Research Institution
McMaster UniversityResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
Special Interest Tags
N/A
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Other
Occupations of Interest
Unspecified
Abstract
In early September 2020, McMaster HealthLabs launched a month-long study to test arriving international passengers at Toronto's Pearson International Airport for COVID-19. The study was supported by Air Canada and the Greater Toronto Airport Authority. The study assessed the feasibility of enrolling arriving passengers, the acceptability and quality of self-collected specimens for detection of COVID-19 infection, and the scale-up of robotic testing for time-efficient and cost-effective COVID-19 testing. Participants self-collected specimens at the airport on arrival, and weekly at home during 14 days of quarantine. Current data as of September 30, 2020 demonstrated the feasibility for a robust and cost-effective COVID-19 surveillance program for arriving passengers using self-collection, with enrollment of ~8,000 passengers and collection of ~13,000 specimens. COVID-19 results were available within 12-24 hours, and SARS-CoV-2 virus was detected in ~1% of passengers. In the current study proposal, we will expand study enrollment for a further 4-6 weeks, to complete 14-day follow-up on 10,000 passengers. We will add additional resources to regularly contact participants by email or telephone, in order to improve adherence with specimen collection, completion of questionnaires, and to better assess compliance with quarantine. Our study will provide important data on COVID-19 infection on arrival, the development of infection during 14-days of quarantine, and compliance with quarantine. These data will inform policy for quarantine requirements, while demonstrating the feasibility of incorporating passenger testing into decision-making algorithms for travelers arriving in Canada.