ResPubID19670, geo-visualisation, Internet, data visualisation, diseases, epidemics, geographic information systems, health care, medical computing, pattern clustering, self-organising feature maps, surveillance, GIS mapping, K-means, Tasmania Department of Health and Human Services, WebEpi, cluster algorithms, disease control, diseases, disease prevention, epidemiological WebGIS service, epidemiological geographical study, epidemiology surveillance exploration, geographical information exploration, health data exploration, health rate, medical situation, mortality rate, population health epidemiology unit, public health surveillance, self-organizing maps, Google Maps, SOM, algorithm design and analysis, classification algorithms, clustering algorithms