Biosurveillance of measles using control charts: A case study using National Capital Region laboratory confirmed measles counts from January 2009 to January 2014

• Main Authors: Angkico, Lorraine Christelle B., Diaz, Priscilla A., Leong, Robert Neil F., Co, Frumencio F.
• Format: text
• Published: Animo Repository 2014
• Subjects: Public health surveillance; Measles—Charts, diagrams, etc.; Applied Mathematics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/7053
• Institution: De La Salle University

This paper aims to explore early outbreak detection methods for measles. Two methods adapted from statistical process control were modified and used to fit biosurveillance, namely Shewhart and Exponentially Weighted Moving Average (EWMA) charts. Seven variations of such control charts are proposed:...