Predictors and burden of post-acute COVID-19 syndrome (long-COVID) with a focus on equity
- Funded by Canadian Institutes of Health Research (CIHR)
- Total publications:0 publications
Grant number: 448863
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Key facts
Disease
COVID-19start year
2021Known Financial Commitments (USD)
$396,940.38Funder
Canadian Institutes of Health Research (CIHR)Principal Investigator
Sander Beate H, Janjua Naveed Z, Kwong Jeffrey C, Mishra Sharmistha, Sbihi Hind…Research Location
CanadaLead Research Institution
Toronto General Research InstituteResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease surveillance & mapping
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Post-acute COVID-19 syndrome (long-COVID) is a complex condition where patients experience persistent symptoms after recovering from their initial illness. Long-COVID can be mild to severe and involve a range of physical, cognitive, and psychological symptoms. Evidence on long-COVID scarce; the incidence, natural history, risk factors for long-COVID, and burden of disease - in terms of health outcomes, resource use, and cost - are currently unknown. We propose to conduct a population-based matched cohort study in Ontario and British Columbia to characterise the burden of long-COVID through an equity lens. We will use population-based laboratory, reportable disease, immunization, and health administrative databases, enriched by individually-linked detailed clinical data from Canadian patients with long-COVID. We will match patients with long-COVID to patients without long-COVID and the general population to determine the incidence, predictors,and long-term health outcomes, resource and cost of long-COVID. We will stratify our population by demographic (e.g., age, sex), clinical (e.g., severity of acute COVID episode, comorbidities, vaccination status, variant of concern), and social and equity-relevant variables (e.g., gender, marginalization, essential workers, multigenerational and large households, congregate settings). Our work will significantly enhance the understanding of long-COVID and inform the value of potential interventions and hence will directly support clinical and health policy decision-making aimed at reducing the impact of long-COVID on Canadians.