  Visual analytics tools can help illustrate the spread of infectious diseases
and enable informed decisions on epidemiological and public health issues. To
create visualisation tools that are intuitive, easy to use, and effective in
communicating information, continued research and development focusing on
user-centric and methodological design models is extremely important. As a
contribution to this topic, this paper presents the design and development
process of the visual analytics application ESID (Epidemiological Scenarios for
Infectious Diseases). ESID is a visual analytics tool aimed at projecting the
future developments of infectious disease spread using reported and simulated
data based on sound mathematical-epidemiological models. The development
process involved a collaborative and participatory design approach with project
partners from diverse scientific fields. The findings from these studies, along
with the guidelines derived from them, played a pivotal role in shaping the
visualisation tool.
