Influenza forecast optimization when using different surveillance data types and geographic scale.

ABSTRACT:

Background

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.

Objectives

To assess whether an influenza forecast model system can be optimized to generate accurate forecasts using novel surveillance data streams.

Methods

Here, we generate retrospective influenza fo

SUBMITTER: Morita H 

PROVIDER: S-EPMC6185890 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature