The explosion of time series data in recent years has brought a flourish of new time series
analysis methods, for forecasting, clustering, classification and other tasks. The evaluation of …

Generating multivariate Poisson random variables is essential in many applications, such as
multi echelon supply chain systems, multi‐item/multi‐period pricing models, accident …

Multivariate control charts are used for monitoring multiple series simultaneously, for the
purpose of detecting shifts in the mean vector in any direction. In the context of disease …

Diagnostic test orders to an animal laboratory were explored as a data source for monitoring
trends in the incidence of clinical syndromes in cattle. Four years of real data and over 200 …

The main objective from the current review study is to provide long-term quantitative study of
the outbreak pattern and trend through 20 years of record and observation by Center for …

Methods for the detection of influenza epidemics and prediction of their progress have
seldom been comparatively evaluated using prospective designs. This study aimed to …

This system generates synthetic syndromic-surveillance data for evaluating visualization
and visual-analytics techniques. Modeling data from emergency room departments, the …

The automatic collection and increasing availability of health data provides a new
opportunity for techniques to monitor this information. By monitoring pre-diagnostic data …

Biosurveillance, focused on the early detection of disease outbreaks, relies on classical
statistical control charts for detecting disease outbreaks. However, such methods are not …

Motivated by existing gaps and inefficiencies in the paper-based manually processed
disease surveillance and notification systems in India and Sri Lanka, the Real-Time …