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Table 7 Summary of finding for SDSS core functionalities

From: A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks

Characteristic Description Most common method Less common methods
Spatial data management GIS based management systems that can organize and analyze spatial data Unspecified (n = 4) ArcGIS, Google maps, OpenLayers, QGIS, PostgreSQL, hBase, MySQL
Visualization Visualization through maps, graphs, tables Choropleth (n = 12) Point layers, count overlays, panels, buttons, data entry fields, menu
Reports Summary of scenario or analytical process, may be graphical, maps etc. Mapping (n = 12) Map, table, chart, statistic summary, network graph
Interactive problem solving Environment which allows the user to explore the possible solution space for a given problem, allowing interaction within the problem-solving environment Select area of study(n = 6) Select species, timeframe, covariates, color theme, graph views, radius selection, query fields
Spatial modeling capability Availability of spatial/non-spatial modeling packages Clustering(n = 5) Clustering, risk mapping, anomaly mapping, disease spatial distribution, networks of disease
Semi structured problem solving Problems that are ill defined, but can accommodate imposed restrictions and user preferences Adjust analysis parameters (n = 12) Explore disease network, choose summary statistic, user selection of model parameters
Scenario evaluation Decision support utilities that allow scenario analyses through iterative analyses Adjust distribution display (n = 12) Track different species, transmission route or outbreak simulation, generation of actionable suggestion, distribution of cases/clusters
Easy User interface Interfaces that engage the user, and allow easy interaction Usability testing (n = 5) Design consultation, mental mapping of tasks, feedback surveys, pilot study, usability, and usefulness testing