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Asthma and Chronic Obstructive Pulmonary Disease (COPD) often lead to hospital and emergency visits, especially when the air quality is poor or the weather is very humid. This project will use health data (after completely removing the identity of individuals) from Singapore to build computer models that can show when these visits are likely to rise. We will test whether newer computer-based methods work better than older ones. The goal is to help hospitals get ready for sudden increases in patients so they can plan staff and resources in advance. The project will also support future international teamwork by making it possible to repeat the same type of analysis using health data from British Columbia, Canada. Participating institutions will benefit by learning how to make better tools to prepare for sudden increases in hospital visits and by building safe and practical ways to work together with international partners.
Mohsen Sadatsafavi
National University of Singapore
Life Sciences
Education
The University of British Columbia
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.