Sharpness is a measure of the spread (or uncertainty) of the forecasts. Adapting the definition proposed by Funk et al.71, we used the relative mean deviation about the median to evaluate sharpness. The sharpness sjt of forecasts at time t at location j is

We add 1 to I^jt to prevent division by 0. A sharpness score of k indicates that the average deviation of the predicted incidence trajectories is k times their median. Low values of sharpness therefore suggest that the predicted trajectories are clustered around the median.

Note: The content above has been extracted from a research article, so it may not display correctly.



Q&A
Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.



We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.