Displaying results 1 - 4 of 4
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Traveling Epidemic Waves in Biosurveillance Data: Identifying Early Hotspots of Respiratory Illness
Content Type: Abstract
We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more… there is a referral bias which must be accounted for as a con- founding factor. The model accounts for referral bias … John Brownstein, john_brownstein@harvard.edu; www.chip.org Advances in Disease Surveillance 2006;1:8 … -
Evaluation of Online Media Reports for Global Infectious Disease Intelligence
Content Type: Abstract
While traditional means of surveillance by governments, multi-national agencies, and institutional networks assist in reporting and confirming infectious disease outbreaks, these formal sources of information are limited by their… read more… about emerging diseases.(3) Figure 1. Screenshot of www.HealthMap.org RESULTS Over the evaluation period, … -
Improving Detection Timeliness by Modeling and Correcting for Data Availability Delays
Content Type: Abstract
The performance of even the most advanced syndromic surveillance systems can be undermined if the monitored data is delayed before it arrives into the system. In such cases, an outbreak may be detected only after it is too late for appropriate… read more… component of the PHIN Prepared- ness specifications. www.cdc.gov/phin/preparedness/eed.html [2] Reis, B.Y., … -
Designing Epidemiological Networks for Real-world Surveillance Settings
Content Type: Abstract
This paper describes the syndromic networks paradigm and its application to various surveillance settings.… improved outbreak detection performance. The practical con- siderations that go into the network design process … guidelines for humanitarian agencies Programme on Disease Con- trol in Humanitarian Emergencies Communicable Diseases …