Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis.

ABSTRACT:

Background

Robust and flexible infectious disease surveillance is crucial for public health. Event-based surveillance (EBS) was developed to allow timely detection of infectious disease outbreaks by using mostly web-based data. Despite its widespread use, EBS has not been evaluated systematically on a global scale in terms of outbreak detection performance.

Objective

The aim of this study was to assess the variation in the timing and frequency of EBS reports compared to true outbreaks and to identify the determinants of variability by using the example of seasonal influenza epidemic in 24 countries.

Methods

We obtained influenza-related reports between January 2013 and December 2019 from 2 EBS systems, that is, HealthMap and the World Health Organization Epidemic Inte

SUBMITTER: Ganser I 

PROVIDER: S-EPMC9664335 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature