TDA-PIDO: A topological data analysis approach for early warning of infectious disease outbreaks (IMAGE)
Caption
The graphical abstract shows the TDA-PIDO pipeline for epidemic outbreak prediction: simulated epidemic time series with and without outbreak transition points are embedded as point clouds, translated into topological barcodes, and vectorized into features that drive the final prediction. A circular panel summarizes classification performance—accuracy, AUC, F1, and 1−Brier—across decision tree, SVM, gradient boosting, logistic regression, and random forest classifiers.
Credit
Luo X., Liu Q.-H., Lu X., et al., (2026). TDA-PIDO: A topological data analysis approach for early warning of infectious disease outbreaks. The Innovation 7(11), 101396.
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License
CC BY-NC-ND