Time series analysis is very common in syndromic surveillance. Large scale biosurveillance systems typically perform thousands of time series queries per day: for example, monitoring of nationwide over-thecounter (OTC) sales data may require separate time series analyses on tens of thousands of zip codes. More complex query types (e.g. queries over various combinations of patient age, gender, and other characteristics, or spatial scans performed over all potential disease clusters) may require millions of distinct queries.
