Displaying results 1 - 2 of 2
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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… large cities, patient distance from an urban center also may affect disease susceptibility and hence timing of visits. Here, we describe spatial models of local … of Respiratory Illness John S. Brownstein, Ph.D., Ben Y. Reis, PhD, Kenneth D. Mandl, M.D. Children’s Hospital … -
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… it arrives into the system. In such cases, an outbreak may be detected only after it is too late for appropriate … Modeling and Correcting for Data Availability Delays Ben Y. Reis, Ph.D., Kenneth M. Mandl, M.D. M.P.H. Children’s … 2005. These models predict the percentage of total visits from a given date that will be available to the …