https://www.socictopen.socict.org/files/original/b2e0e9bd9dbfb41ae9b72ffc73ec2263.pdf 49dcf817b14b9f0b25cbd1fbb05ca32e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mapping and visualisation on of health data. The contribution on of the graphic sciences to medical research from New York yellow fever to China Coronavirus. Creator An entity primarily responsible for making the resource Enrico Cicalò, Michele Valentino Description An account of the resource This paper will discuss the role of data visualization in the field of medical science and the relationships between health research and graphic sciences. Graphic representation allows the survey and the visualization of intangible phenomena. For this reason, computer graphics and technologically innovative imaging are now gaining a central role in all the disciplines based on the analysis of phenomena that occur in the territory and from which decision making depends. Thus, knowledge, techniques and tools of the graphic sciences are increasingly being asked to contribute to interdisciplinary research. Health data visualization can be a useful tool to reveal new insights on the spatial patterns of disease spread, mainly in the study of risk factors for diseases considered “environmental” because a considerable part of their spread can be attributed to environmental factors so that their distribution patterns result strongly associated with the spatially heterogeneous environment to which they are referred. The simultaneous visualization of health data with environmental data obtained from different sources can further the understanding of environmental-health linkages and can generate new hypotheses to be tested in future research. Disease mapping and environmental risk assessment using digital geospatial data resources are now established analytical tools in both human and veterinary public health. Participatory GIS, Volunteered Geographic Information communities as OpenStreetMap, Virtual Globes, online live tracking dashboards and other computer-assisted applications made it possible to translate datasets from different sources and users into maps easily understandable from the public. The use of these tools in geospatial health has been firmly established as a useful tool for collating, exploring, visualizing and graphically analyzing health data. As a result, new approaches aimed to visualize, describe and explain the spatial patterns of diseases are being developed in different research fields, that will be analyzed in this paper.DOI: https://doi.org/10.20365/disegnarecon.23.2019.12  Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource medical research, Maps, data visualisation, Graphic Representation, geospatial visualisation Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Architecture, Architectural drawing and design