Stopping COVID-19 with behavioral science and artificial intelligence
- Funded by The Ottawa Hospital Foundation
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Start & end year
N/AKnown Financial Commitments (USD)
$0Funder
The Ottawa Hospital FoundationPrincipal Investigator
Dr. Justin PresseauResearch Location
CanadaLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Infection prevention and controlResearch Subcategory
Barriers, PPE, environmental, animal and vector control measuresSpecial Interest Tags
N/AStudy Type
UnspecifiedClinical Trial Details
N/ABroad Policy Alignment
PendingAge Group
Not ApplicableVulnerable Population
Not applicableOccupations of Interest
Not applicable
Abstract
Dr. Justin Presseau and colleagues plan to use state-of-the-art behavioural science and artificial intelligence to develop an app that can help people reduce how much they touch their eyes, nose and mouth. This T-shaped area of the face known as the T-zone is the main way that the COVID-19 virus gets into the body. Reducing T-zone touching could reduce the transmission of COVID-19, as well as transmission of other infections that pass through the nose and mouth. Most people touch their T-zone 15-20 times per hour, often without realizing it. The app would help people become aware of this behavior and walk them through possible techniques and training to reduce T-zone touching. This project will involve international experts in machine learning and computer vision, health psychology and behaviour change, and human-centred design and infection control.