Goal: Time series graph that displays the number of human exposure calls by condition over time. The aberration detection algorithm used to detect call volumes >=4 standard deviation units from the mean call volume is a modified version of the EARS C2 statistic known as W2. Expected call volumes per condition are calculated using a 28-day moving average where the two days immediately preceding the index day are skipped.
Actors: Public Health Investigator
Preconditions: A user has been authenticated. A state/zip3 or zip5 has been selected. A date range has been selected and stored in session.
Success condition: A graph is displayed.
Main Success Scenario:
Alternate Flow #1:
(Step 1): The graph supports zooming in to specific sections so that the data points can be viewed in greater detail. This is built-in behavior to the flot toolkit that is being used to build the graphs.
Notes:
References for calculating standard deviation: hubpages, wikipedia
References for W2 statistic details are found in attached BioSense hospital data user guide.
Related Use Cases:
Mockup: