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Abstract

In general, many factors contribute to the spread of diseases among populations over large geographical areas. In practice, analysis of these factors typically requires expertise of multidisciplinary teams. In this paper, we present a visualization system which aims to support the visual analytics process involving multidisciplinary teams of analysts in colocated collaborative settings. The current prototype system allows coupled and decoupled modes of interaction, using a combination of personal visualizations on private small displays and group visualizations on a shared large display. We have conducted preliminary fieldwork and a review study of this prototype with a group of medical experts who have provided feedback on the current system and suggestions for other usage scenarios, as well as further improvements. We found that our target user group have a generally positive attitude towards the use of a shared display with support for the suggested interaction modes, even though these modes are substantially different from the way their groups currently conduct synchronous collaboration, and that additional support for sharing image and textual data over the geospatial data layer may be required.

Cross-Device Taxonomy

“…In particular, Horak et al [138] described interaction concepts for a smartwatch-display configuration in a crime analysis scenario using a real city criminal dataset. Other kinds of data sets that has been explored including geography [210,249], physics [18,315,357], life science [66,92,102,108,296], city planning [46,340], energy [43,306], and finance [204].…”

An Informatics-Based Approach for Sustainable Management of Factors Affecting the Spread of Infectious Diseases

“…1. the use of mobile devices for gathering and sharing of ecoepidemiological data from remote areas by local healthcare personnel [13]; 2. health education through the use of "serious games" for improving communitylevel knowledge of transmission and prevention mechanisms; and 3. the use of spatiotemporal data visualization tools [5] to support the identification of critical points in the chain of transmission [16].…”