Epidemiological anomaly detection in Philippine public health surveillance data through Newcomb-Benford analysis

• Published in: Journal of public health (Oxford, England) Vol. 46; no. 3; pp. e483 - e493
• Main Author: Parreño, Samuel John E
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 25.08.2024
• Subjects: Communicable Diseases - epidemiology; Humans; Philippines - epidemiology; Public Health Surveillance - methods; Philippines; public health surveillance; epidemiology; data integrity; Newcomb-Benford Law; disease anomalies

Abstract Background Public health surveillance is vital for monitoring and controlling disease spread. In the Philippines, an effective surveillance system is crucial for managing diverse infectious diseases. The Newcomb-Benford Law (NBL) is a statistical tool known for anomaly detection in various...