What to know before forecasting the flu

Date
2018-10-12Author
Chakraborty, Prithwish
Lewis, Bryan L.
Eubank, Stephen
Brownstein, John S.
Marathe, Madhav
Ramakrishnan, Naren
Metadata
Show full item recordAbstract
Accurate and timely influenza (flu) forecasting has gained significant traction in recent times. If done well, such forecasting can aid in deploying effective public health measures. Unlike other statistical or machine learning problems, however, flu forecasting brings unique challenges and considerations stemming from the nature of the surveillance apparatus and the end utility of forecasts. This article presents a set of considerations for flu forecasters to take into account prior to applying forecasting algorithms.
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