Web Visualization of Temporal and Spatial Health Data from Smartphone App in Smart and Connected Community (SCC)

Abstract

This paper presents a strategy of graphical visualization of the community-based Smart and Connected Community (SCC) Health data through novel spatial and temporal plots. Temporal visualization consists of two plots: graph and flow; whereas spatial visualization can be static Google Map overlay or animation over selected timeframe. The visualization uses the disease severity (Events of Interest, EoI) through colors. An arbitrary grid is used with random area code where each grid is represented by rectangles defined by latitude and longitude of that area so that it is impossible to precisely localize the study participants. The major contribution of this work is to exhibit the continuous health status of the community through the cumulative and segmented animation on the spatial plots. To implement this, a web-based dynamic server is utilized. Front end of the server uses JavaScript JQuery and Ajax, whereas backend is managed by Hypertext Preprocessor, i.e. PHP. The phpMyAdmin (administration tool for MySQL) stores the JSON data from smartphone app. Survey result shows that 81.4% participants in pre-session and 84.75% participants in post-session provided positive feedback about the visualization. In this work, the visualization is implemented with mock data.