The workflow drew relevant approaches from these library papers:
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Gennady Andrienko, Natalia Andrienko, Christophe Hurter, Salvatore Rinzivillo, and Stefan Wrobel.
From Movement Tracks Through Events to Places: Extracting and Characterizing Significant Places from Mobility Data. IEEE VAST, 2011.
- Informed the iterative extraction, clustering, visual inspection, and refinement of spatial concentrations—adapted here for early illness-report clusters and candidate origin areas. -
Natalia Andrienko and Gennady Andrienko.
A Visual Analytics Framework for Spatio-Temporal Analysis and Modelling. Data Mining and Knowledge Discovery, 2013.
- Informed the main iterative cycle of spatial-temporal aggregation, grouping/modelling, visual fit assessment, residual analysis, and model refinement. -
Gennady Andrienko, Natalia Andrienko, M. Akila, B. Kathirgamanathan, and M. Ponce-de-Leon.
Detecting Stable Cross-Impact Patterns in Bivariate Time Series. IEEE Transactions on Visualization and Computer Graphics, 2026.
- Informed the use of lagged relationships, parameter calibration, sensitivity analysis, and comparison of directional cross-effects—for example, wind-aligned or delayed propagation patterns. -
Kuno Kurzhals, Florian Heimerl, and Daniel Weiskopf.
ISeeCube: Visual Analysis of Gaze Data for Video. ACM Symposium on Eye Tracking Research and Applications, 2014.
- Informed the coordinated exploration design: linked spatial, temporal, and space-time views used to identify patterns before detailed interpretation.
These works informed workflow structures and interaction patterns; they were not treated as domain-specific epidemiological methods.