Prism

Develop an app or platform to crowd-source information for comparing changes in environmental factors, such as temperature, relative humidity, air pollution, with occurrence of symptoms of allergies and respiratory diseases. Create tools for public entry and grading of symptoms, including but not limited to cough, shortness of breath, wheezing, sneezing, nasal obstruction, itchy eyes; and geographic mapping of symptom frequency and intensity. Create a platform for comparison of symptom map with NASA provided data, with visualization options for web and/or smart phone.

We suspect that IF the correlation between atmospheric particle pollution and human health exists and is visualized in conjunction will geographic location, THEN the strength of that correlation will be visible and we will be able to more effectively address the pollution problem. Our solution is a mobile-friendly web app called Prism. We layered NASA EOSDIS aerosol optical depth imagery over a map with pins marking the locations of users who reported elevated symptoms indicative of respiratory illness through our app, or by simply tweeting their symptoms. Additionally, we compared the severity of users’ symptoms on a scatter diagram and visualized worldwide air quality reports on a globe.

• earthdata.nasa.gov 's EOSDIS MODIS_Terra_Aerosol map overlay.
• Twitter Search API
• Google Maps JavaScript API
• airnow API
• three.js
• AngularJS 1.5
• Node.js
• MongoDB

• Heroku
• Team workflow (for 7 engineers): slack, trello, GitHub, TeamViewer, Google Hangouts
• https://nasaspaceapp.herokuapp.com