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Cheng Calvin

Description

Much progress has been made on the development of novel systems for influenza surveillance, or explored the choices of algorithms for detecting the start of a peak season. The use of multiple streams of surveillance data has been shown to improve performance but few studies have explored its use in situational awareness to quantify level or trend of disease activity. In this study we propose a multivariate statistical approach which describes overall influenza activity and handles interrupted or drop-in surveillance systems.

 

Objective

This paper describes the use of multiple influenza surveillance data for situational awareness of influenza activity.

Submitted by elamb on
Description

Infectious disease surveillance is important for disease control as well as to inform prevention and treatment [1]. While influenza surveillance data coverage and quality has improved significantly in recent years due to resource investments and advances in information technology, the need remains for improvements in data dissemination to the wider community.

Objective

This paper describes a review of modes and styles of the online dissemination of national influenza surveillance data.

Submitted by elamb on