ABSTRACT
Infectious diseases spread from person to person and thus by their very nature in space and time. The limited amount of information available from the first epicentres in China had to be used as the best assumption. Spatiotemporal heterogeneous distributions of disease cases demand for analyses with special consideration of the spatiality of the underlying phenomena. The national figures might not be representative for the local and regional situation, due to uneven spreading of the disease. Data visualization of territories, mostly at country level, through mapping, dashboards and other techniques, is a valuable tool to present the characteristics of spatiotemporal phenomena. Geospatial analysis of the underlying geospatial data can do much more. An integrated statistical and geospatial framework can be used as an excellent basis for managing such aggregated health data. The Nomenclature of Territorial Units for Statistics (NUTS) provides a breakdown of the economic territory of the European Union into territorial units.
