Air Pollution Surveillance System: A Big Data Approach to Monitoring Adverse Health Outcomes for Public Health Interventions

Air pollution is a global public health concern. It is responsible for a cascade of adverse health outcomes. However, quantifying the effects and impacts of air pollution is complicated. 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 predicts harm using AI and deep learning.