Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries.

ABSTRACT:

Background

Novel influenza surveillance systems that leverage Internet-based real-time data sources including Internet search frequencies, social-network information, and crowd-sourced flu surveillance tools have shown improved accuracy over the past few years in data-rich countries like the United States. These systems not only track flu activity accurately, but they also report flu estimates a week or more ahead of the publication of reports produced by healthcare-based systems, such as those implemented and managed by the Centers for Disease Control and Prevention. Previous work has shown that the predictive capabilities of novel flu surveillance systems, like Google Flu Trends (GFT), in developing countries in Latin America have not yet delivered acceptable flu estimates.

Ob

SUBMITTER: Clemente L 

PROVIDER: S-EPMC6470460 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature