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Ali ST, Cowling BJ. Influenza Virus: Tracking, Predicting, and Forecasting. Annu Rev Public Health. 2021;42:43-57doi: 10.1146/annurev-publhealth-010720-021049.
Ali, S. T., & Cowling, B. J. (2021). Influenza Virus: Tracking, Predicting, and Forecasting. Annual review of public health, 4243-57. https://doi.org/10.1146/annurev-publhealth-010720-021049
Ali, Sheikh Taslim, and Cowling, Benjamin J. "Influenza Virus: Tracking, Predicting, and Forecasting." Annual review of public health vol. 42 (2021): 43-57. doi: https://doi.org/10.1146/annurev-publhealth-010720-021049
Ali ST, Cowling BJ. Influenza Virus: Tracking, Predicting, and Forecasting. Annu Rev Public Health. 2021 Apr 01;42:43-57. doi: 10.1146/annurev-publhealth-010720-021049. Epub 2021 Dec 21. PMID: 33348997.
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Annu Rev Public Health. 2021 Apr 01;42:43-57. doi: 10.1146/annurev-publhealth-010720-021049. Epub 2021 Dec 21.

Influenza Virus: Tracking, Predicting, and Forecasting.

Annual review of public health

Sheikh Taslim Ali, Benjamin J Cowling

Affiliations

  1. World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; email: [email protected].

PMID: 33348997 DOI: 10.1146/annurev-publhealth-010720-021049

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.

Keywords: data assimilation; forecasting; influenza; prediction; surveillance systems; transmission dynamics

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