An Integrated Knowledge Approach to Communicating the Impact of COVID-19 on the Mental Health and Well-Being of Caregivers and Available Resources for Families Living with Autism

Families (i.e. siblings) with children and adolescents with autism often experience demanding stressors and distress associated with providing care to their family member with autism. Distancing requirements imposed by the COVID-19 pandemic have halted many of the programs that parents rely on for respite and support (e.g. interventions, day programs, schools, adapted recreation and leisure, […]

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Evaluation of a small, gas powered, patient-responsive automated resuscitation/ventilation device adapted to pandemics of respiratory failure

The projects will involve the modifications of a small automated ventilator (breathing machine) suitable for use in pandemics and underresourced settings (outside hospital, in patient transport, small hospitals), especially suited to patients with severe lung disease. Partner organization will be able to improve the design of the current ventilator to make it better suited for […]

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Enzyme-free, one-step nucleic-acid detection for point-of-care COVID-19 diagnostic screening

Rapid diagnostic testing has proven essential for stemming the on-going COVID-19 pandemic. Given the global threat of COVID-19 transmission, millions of tests are needed per month to isolate infections and to facilitate safe reopening of societies. This internship will contribute to COVID-19 diagnosis efforts by first developing a faster and cost-effective protocol for viral nucleic-acid […]

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Automated escalation and incident management in healthcare during mass casualties and pandemic events (Part 2)

In healthcare, communication and clear roles and responsibilities are critical in delivering care to patients. This is difficult to achieve in the best of times; during pandemics and mass casualty events, communication is the first thing to fail, leading to inefficiency, confusion, and ultimately harm to patients. This project aims to develop an automated system […]

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COVID-19 and Bridging the Social and Physical Gap: Dynamic Digital Resources to Meet the Mental Health Support Needs of Children, Youth, and Families

The COVID-19 pandemic has challenged us with social isolation, financial uncertainty, and daily life disruptions. Parents and children may be uniquely impacted as parents attempt to navigate the stressors of working from home, caring for children, and, potentially, caring for their elderly parents and other family members. Children and youth, in turn, are influenced by […]

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Testing Potential COVID-19 therapeutics & Development of Rapid IC test

The novel Coronavirus disease (COVID-19) pandemic caused by SARS-CoV-2 virus continues to challenge scientists to find therapeutic treatments to combat the virus and to develop rapid and reliable methods for detection of the virus. Our team aims to contribute to both of these research areas over the next two years. Several Canadian research groups have […]

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Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

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Supporting the mental health of Canadians in times of pandemic: Exploring the impacts of the COVID-19 crisis on wellbeing and validating context-appropriate e-mental health interventions

The COVID-19 pandemic has caused disruptions in multiple spheres of life and increased psychological distress, depression, and anxiety in many Canadians. With practices of social distancing implemented by the governments combined with an increased demand for psychological support, mental health agencies are forced to be creative and develop e-mental health interventions and tools. The current […]

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Development of a robust armoured RNA standard for the rapid clinical diagnosis of COVID-19

COVID-19, the respiratory disease caused by the novel SARS corona virus, has been a global threat for months now. The pandemic has crippled global healthcare sectors and economies. Early, rapid, and accurate detection of the contagion is critical for isolating infected patients to prevent further community spread. Currently, most communities in Canada suffer from insufficient […]

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Standardization and validation of a point-of-care RT-qPCR test in response to the COVID-19 pandemic

The novel coronavirus (SARS-CoV-2) is the etiological agent of the ongoing COVID-19 pandemic currently affecting 215 countries and territories. With the number of cases increasing exponentially in many nations, molecular diagnostics have become a critical component for informing decisions related to health. However, the availability of molecular diagnostics has suffered a bottleneck. Reverse transcription-quantitative polymerase […]

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Detection of PPE in healthcare settings using machine learning

We propose utilizing real-time image detection of humans (visitors and healthcare workers) using personal protective equipment (I.e. masks, gloves, and gowns) in healthcare settings. This system would ensure proper compliance of PPE use to reduce the transmission COVID and other healthcare based infections, thereby saving lives, reducing hospital stays and costs. This builds off literature […]

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