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?:abstract
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This study is an early study of ‘a strategy for visualizing geographical space based on infectious disease data’ supported by the Korea Research Foundation and has the following purposes Past cases of map-based epidemic data visualization provide insight into how disease data has been visualized The research method collected and analyzed about 50 cases of disease data mapping through prior research and literature and websites However, the case of visualizing disease data for this study is limited to Western data The results of the study are as follows First, prior research of design perspective on disease data is now in the beginning stage Therefore, visualizing disease data also requires design research considering user experience Second, after suffering from Covid-19, countries around the world are producing and operating dashboards to check the trend of infectious disease Most of these are integrated with interactive content such as graph, numbers, tables, etc along with maps, which have been heavily influenced by past disease maps Third, the “Arieta Disease Map (1691)” at the end of the 17th century showed that the infected areas were distinguished by the use of illustrations, lines, and initials Later, from the end of the 18th century, the geographical expression of yellow fever, expressed the location of the outbreak, the location of the dead, and the contaminated zone, and the epidemiological investigation of the infectious disease began In the 19th century, the emergence of statistics led to the active study of visualization of disease data, which became the visual cornerstone of modern disease data dashboard Since then, the presentation of disease maps due to the advent of computers has been based on GIS technology, and dynamic implementation and interaction have enabled users to zoom in and out on the map, shift locations, and get detailed information individually The ultimate purpose of disease data visualization is to prevent the spread of infectious disease, and through these visual data we can predict and prevent the future This study focused on the cases before the appearance of digital devices, and it is expected to be used as a basis for disease data visualization in the future
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