Unknown

Dataset Information

Success Factors of European Syndromic Surveillance Systems: A Worked Example of Applying Qualitative Comparative Analysis.


ABSTRACT:

Introduction

Syndromic surveillance aims at augmenting traditional public health surveillance with timely information. To gain a head start, it mainly analyses existing data such as from web searches or patient records. Despite the setup of many syndromic surveillance systems, there is still much doubt about the benefit of the approach. There are diverse interactions between performance indicators such as timeliness and various system characteristics. This makes the performance assessment of syndromic surveillance systems a complex endeavour. We assessed if the comparison of several syndromic surveillance systems through Qualitative Comparative Analysis helps to evaluate performance and identify key success factors.

Materials and methods

We compiled case-based, mixed data on

SUBMITTER: Ziemann A 

PROVIDER: S-EPMC4868285 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature