Anomaly Detection Techniques and ApplicationsData-Driven Disease SurveillanceBenford’s Law and Fraud Detection

Inma Conde, E. Silva-Ramírez, M. B. Gómez-Tovar, Angel L. Ortiz, F. Cumbrera

2026.6.1JOURNAL OF SUPERCOMPUTING

DOI: 10.1007/s11227-026-08649-5

Abstract

Abstract is not available.

Citation format

CONDE, Inma, et al. Detecting statistical anomalies in COVID-19 surveillance database. JOURNAL OF SUPERCOMPUTING, 2026, 82(8).