AQAI AQAI is using the OpenAQ platform to develop a machine learning predictive model for air quality showing child population density against regions with pollutant concentrations above WHO-recommended limits. AQAI is one of ... read more API Health
Global Burden of Disease Health practitioners and policymakers need accurate information on health trends to improve health systems and combat health disparities. This crucial data is provided by the Global Burden of Disease (GBD) study which is ... read more health
Predicting What We Breathe Data from the OpenAQ platform informed the development of (and continue to feed) a highly accurate air pollution prediction model for Los Angeles County and beyond. The Predicting What We Breathe (PWWB) model provides ... read more Health Community
Sh**t I Smoke! The Sh**t I Smoke! mobile app uses data from the OpenAQ platform to demonstrate the severity of air pollution by comparing it to cigarette smoking. Sh**t I Smoke! was developed by Amaury Martiny and Marcelo Coelho. The ... read more API Health
