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The use of IoT and big data by public and global health agencies to quantify the outcomes and adverse health impacts of air pollution
Air pollution is a global public health concern. It is responsible for a cascade of adverse health outcomes. However, quantifying the outcomes and impacts of air pollution is difficult. The advancement of IoT and big data technologies can now allow public health officials and researchers to monitor air pollution levels and take appropriate and rapid actions to mitigate the harms. We propose the development of an agnostic ecosystem that collects big data and from various sensors, analyzes and provides alerts and recommendations to public health officials.
Faculty Supervisor:
Plinio Pelegrini Morita
Student:
Partner:
UNICEF Canada;University of Waterloo
Discipline:
Life Sciences
Sector:
Other services (except public administration)
University:
University of Waterloo
Program:
Accelerate
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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.