Modelling the impact of environmental factors in asthma and COPD-related hospitalizations

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.

Faculty Supervisor:

Mohsen Sadatsafavi

Student:

Partner:

National University of Singapore

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

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