Influenza forecast optimization when using different surveillance data types and geographic scale
Abstract
Advance warning of influenza incidence levels from skillful forecasts could help public health officials and healthcare providers implement more timely preparedness and intervention measures to combat outbreaks. Compared to influenza predictions generated at regional and national levels, those generated at finer scales could offer greater value in determining locally appropriate measures; however, to date, the various influenza surveillance data that are collected by state and county departments of health have not been well utilized in influenza prediction.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 21, 2018
- Source ID
- 10.1111/irv.12594
Entities
People
- Alexandra Heaney
- Harold Gil
- Haruka Morita
- Jeffrey Shaman
- Sarah C Kramer
Organizations
- Columbia University
- Defense Threat Reduction Agency
- National Institute of Environmental Health Sciences
- National Institutes of Health