AIDO gives you access to two sources of data: fact sheets and outbreak records. This tutorial will briefly explain both of these sources and how to use them.
On the homepage, you will see a drop down list that displays the names of all diseases currently available in AIDO. Selecting a disease and clicking Search will pull up the disease's fact sheet and search form.
Every disease page in AIDO includes a fact sheet containing useful information about the given disease. To the left of this fact sheet, the disease's search form is displayed. For example, measles appears like this:
AIDO can rank outbreak records based on user input, allowing users to quickly identify known historical outbreaks that are similar to a current or hypothetical outbreak.
To access the contextual search capability,
Not dealing with a specific outbreak, but want to get a feel for what known historical outbreaks look like for a disease? Instead of sorting outbreaks by Similarity score, sort by Date or Distance from a location.
Users can also filter results. For example, if you are only interested in measles outbreaks that occurred in the U.S., you can restrict your search to only those outbreaks.
Each outbreak record shows the following:
Score breakdown - radar chart Underneath the suggested data streams is an expandable table entitled How was this outbreak scored? This view shows exactly how the similarity score was calculated. The first section contains a radar chart, where each axis is one of the properties that was used when scoring the outbreak.
Three series are plotted on this radar chart:
Weight - The relative importance of each property in distinguishing outbreaks.
Score - The weighted score given to each property for this outbreak.
Can score - Indicates whether there was sufficient data to score the outbreak. This series provides a way to distinguish a true low score from a simple lack of data. If all the data are available for scoring, then each of the properties' can score values will be set to the property's weight. This will shade in the entire radar chart, showing that all properties were properly scored. If, however, the data for one of the properties is missing, both the score and can score values will be set to 0 for that property, indicating that it could not be scored correctly.