Paper
Influenza Virus: Tracking, Predicting, and Forecasting.
Published Dec 21, 2020 · S. T. Ali, B. Cowling
Annual review of public health
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Abstract
Influenza is a common respiratory infection that causes considerable morbidity and mortality worldwide each year. In recent years, along with the improvement in computational resources, there have been a number of important developments in the science of influenza surveillance and forecasting. Influenza surveillance systems have been improved by synthesizing multiple sources of information. Influenza forecasting has developed into an active field, with annual challenges in the United States that have stimulated improved methodologies. Work continues on the optimal approaches to assimilating surveillance data and information on relevant driving factors to improve estimates of the current situation (nowcasting) and to forecast future dynamics. Expected final online publication date for the Annual Review of Public Health, Volume 42 is April 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Recent advances in influenza surveillance and forecasting have improved estimates of current situation and future dynamics, with ongoing work on optimal approaches.
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