Using Visualization Techniques in Syndromic Surveillance Systems
Author Information
Author(s): Kieran M. Moore, Graham Edge, Andew R. Kurc
Primary Institution: Department of Emergency Medicine, Family Medicine, Queen's University
Hypothesis
Effective syndromic surveillance systems require graphical user interfaces and data visualization techniques to aid epidemiologists in interpreting data.
Conclusion
Recent advances in syndromic surveillance systems allow for real-time data reception and provide useful visual interfaces to assist in interpretation.
Supporting Evidence
- Syndromic surveillance systems can detect changes in public health more rapidly than traditional methods.
- Effective systems incorporate multiple data visualization techniques to aid in timely outbreak detection.
- Geospatial visualization helps identify clusters of increased activity in health data.
Takeaway
This study shows that using graphs and maps helps doctors quickly understand health data and find outbreaks faster.
Methodology
The study discusses the integration of graphical user interfaces and visualization techniques in syndromic surveillance systems.
Limitations
The alerts generated by surveillance systems are often suggestive and require human interpretation to determine public health responses.
Want to read the original?
Access the complete publication on the publisher's website