In this 2019 paper published in Geospatial Health, Oyashi et al. present details on the Japan Aerospace Exploration Agency’s (JAXA) Public-health Monitoring and Analysis Platform (PMAP). The web-based system was designed to take a wide variety of environmental data and present it in such a way so as to allow epidemiologists to make local, regional, national, or even global insights. Using more than 30 years of archived Earth-observed satellite data from multiple sources, the authors demonstrate the system and explain its underlying technology. While recognizing some of the inherent limitations of optical-sensor-based data towards user goals, the team concludes that its JPMAP system successfully takes "various satellite-derived environmental information related to epidemiological data and pre-processes the data to improve its accessibility for epidemiological research."
This is a Columbia University-created course that is released on the edX platform. The self-paced five-week course is designed to help learners "develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics." The course is free to take.