Type- and Subtype-Specific Influenza Forecast.

ABSTRACT: Prediction of the growth and decline of infectious disease incidence has advanced considerably in recent years. As these forecasts improve, their public health utility should increase, particularly as interventions are developed that make explicit use of forecast information. It is the task of the research community to increase the content and improve the accuracy of these infectious disease predictions. Presently, operational real-time forecasts of total influenza incidence are produced at the municipal and state level in the United States. These forecasts are generated using ensemble simulations depicting local influenza transmission dynamics, which have been optimized prior to forecast with observations of influenza incidence and data assimilation methods. Here, we explore whether forec

SUBMITTER: Kandula S 

PROVIDER: S-EPMC5860391 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature