Correlation-based Discovery of Disease Patterns for Syndromic Surveillance

10/18/2021
by   Michael Rapp, et al.
0

Early outbreak detection is a key aspect in the containment of infectious diseases, as it enables the identification and isolation of infected individuals before the disease can spread to a larger population. Instead of detecting unexpected increases of infections by monitoring confirmed cases, syndromic surveillance aims at the detection of cases with early symptoms, which allows a more timely disclosure of outbreaks. However, the definition of these disease patterns is often challenging, as early symptoms are usually shared among many diseases and a particular disease can have several clinical pictures in the early phase of an infection. To support epidemiologists in the process of defining reliable disease patterns, we present a novel, data-driven approach to discover such patterns in historic data. The key idea is to take into account the correlation between indicators in a health-related data source and the reported number of infections in the respective geographic region. In an experimental evaluation, we use data from several emergency departments to discover disease patterns for three infectious diseases. Our results suggest that the proposed approach is able to find patterns that correlate with the reported infections and often identifies indicators that are related to the respective diseases.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/28/2021

Revisiting Non-Specific Syndromic Surveillance

Infectious disease surveillance is of great importance for the preventio...
research
02/22/2017

Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources

Real-time monitoring and responses to emerging public health threats rel...
research
01/25/2022

Toward a Minecraft Mod for Early Detection of Alzheimer's Disease in Young Adults

This paper proposes a Minecraft-based system for early detection of Alzh...
research
07/11/2012

Bayesian Biosurveillance of Disease Outbreaks

Early, reliable detection of disease outbreaks is a critical problem tod...
research
03/04/2019

Early Detection of Influenza outbreaks in the United States

Public health surveillance systems often fail to detect emerging infecti...
research
06/29/2023

Unified View of Damage leaves Planimetry Analysis Using Digital Images Processing Techniques

The detection of leaf diseases in plants generally involves visual obser...

Please sign up or login with your details

Forgot password? Click here to reset