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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