Base de données de recherche subventionnée canadienne sur la COVID-19

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Mental health planning in the era of a pandemic: appropriately matching mental health needs with resources across Canada through a rapid assessment of COVID-19’s impact on adults and older adults.

Vasiliadis, Helen-Maria | Université de Sherbrooke | Operating Grant | $200,000

CIHR Quebec 2020

Addressing gaps in our understanding of the mucosal immune response to SARS-CoV-2: Implications for transmission.

Gommerman, Jennifer L | University of Toronto | Operating Grant | $404,547

CIHR Ontario 2021

COVID-19 Variant Network – The COVID‑19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19

Verma, Amol | Unity Health Toronto | Operating Grant | $100,000

CIHR Ontario 2021

Mitigating COVID‑19 variant spread by leveraging social psychological and neurobiological markers to optimize public health communications during the first vaccine rollout.

Hall, Peter A | University of Waterloo | Operating Grant | $496,565

CIHR Ontario 2021

COVID-19 Variant Supplement – Innovative therapeutic approaches for the 2019-novel coronavirus

Boivin, Guy | CHU de Québec | Operating Grant | $50,000

CIHR Quebec 2021

Teasing apart the differential impact of variants of concern on COVID‑19 severity and health inequities: a population-based genomic epidemiological investigation in Ontario and British Columbia.

Sbihi, Hind | B.C. Centre for Disease Control | Operating Grant | $451,188

CIHR British Columbia 2021

CO-Away: Implementation and Evaluation of Digital Health Solutions for Indigenous Self-Determination, Governance, and Data Sovereignty

Katapally, Tarun Reddy | Western University | Project Grant | $554,434

CIHR Ontario 2021

COVID-19 Variant Supplement – Cellular Immuno-Therapy for COVID‑19 Induced Acute Respiratory Distress Syndrome: the CIRCA-19 Trial

Stewart, Duncan J | Ottawa Hospital Research Institute | Operating Grant | $50,000

CIHR Ontario 2021

Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

Vigo, Daniel V | University of British Columbia | Operating Grant | $199,860

CIHR British Columbia 2020

COVID-19 Variant Supplement – CovidFree@Home: Development and validation of a multivariable prediction model of deterioration in patients diagnosed with COVID‑19 who are managing at home

Gershon, Andrea S | Sunnybrook Research Institute | Operating Grant | $50,000

CIHR Ontario 2021

Base de données de recherche subventionnée canadienne sur la COVID-19

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Mental health planning in the era of a pandemic: appropriately matching mental health needs with resources across Canada through a rapid assessment of COVID-19’s impact on adults and older adults.

Addressing gaps in our understanding of the mucosal immune response to SARS-CoV-2: Implications for transmission.

COVID-19 Variant Network – The COVID‑19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19

Mitigating COVID‑19 variant spread by leveraging social psychological and neurobiological markers to optimize public health communications during the first vaccine rollout.

COVID-19 Variant Supplement – Innovative therapeutic approaches for the 2019-novel coronavirus

Teasing apart the differential impact of variants of concern on COVID‑19 severity and health inequities: a population-based genomic epidemiological investigation in Ontario and British Columbia.

CO-Away: Implementation and Evaluation of Digital Health Solutions for Indigenous Self-Determination, Governance, and Data Sovereignty

COVID-19 Variant Supplement – Cellular Immuno-Therapy for COVID‑19 Induced Acute Respiratory Distress Syndrome: the CIRCA-19 Trial

Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

COVID-19 Variant Supplement – CovidFree@Home: Development and validation of a multivariable prediction model of deterioration in patients diagnosed with COVID‑19 who are managing at home