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Influenza Virus: Tracking, Predicting, and Forecasting

Authors
  • Ali, Sheikh Taslim
  • Cowling, Benjamin J.
Type
Published Article
Journal
Annual Review of Public Health
Publisher
Annual Reviews
Publication Date
Apr 01, 2021
Volume
42
Pages
43–57
Identifiers
DOI: 10.1146/annurev-publhealth-010720-021049
Source
Annual Reviews
Keywords
License
Green

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.

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