Mathematical model could predict best way to prevent tuberculosis in Canada’s north

December 30, 2014

Dr. Gonzalo Alvarez is co-leading a research study that uses mathematical modelling to compare different approaches for preventing tuberculosis (TB) among aboriginal people in Canada’s north. TB is a major public health threat in this region, with an incidence rate that is 60 times higher than the rest of the country. The mathematical model will compare the costs and benefits of a TB-specific prevention program (that focuses on enhanced diagnosis and treatment) with a more general prevention program (that focuses on reducing TB risk factors such as smoking, heavy alcohol use, diabetes and overcrowded housing). Dr. Kevin Schwartzman from the McGill University Health Centre is co-leading the project, which received $142,000 in the last operating grant competition from the Canadian Institutes of Health Research. Further details are available in CIHR’s Funded Research Database.

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