Displaying results 9 - 16 of 21
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Seasonal Patterns of Gastrointestinal Illness
Content Type: Abstract
Objective: To investigate seasonal patterns of gastrointestinal (GI) illness among children and adults. -
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 -
State Surveillance Data Improves a Clinical Prediction Model for Pertussis
Content Type: Abstract
Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not… read more -
Temporal-Spatial Surveillance Techniques from Non-Homogenous Random Geometric Graphs
Content Type: Abstract
Graph theory concepts are well established in epidemiology, with particular success as a description of agent-based modeling. An agent-based viewpoint leads to conclusions about the spatial distribution of links: infection is more likely among… read more -
Use of Surveillance Data to Measure the Impact of Viral Infections among Young Children
Content Type: Abstract
Respiratory viruses cause substantial morbidity and costly resource utilization among young children, especially during the winter months. Accurate estimates of the impact of these viruses are important in guiding prevention efforts… read more -
The Value of Patient Reports in Syndrome Assignment
Content Type: Abstract
Of critical importance to the success of syndromic surveillance systems is the ability to collect data in a timely manner and thus ensure rapid detection of disease outbreaks. Most emergency department-based syndromic surveillance systems use… read more -
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 -
Automated chronic disease surveillance and visualization using electronic health record data
Content Type: Abstract
Chronic diseases are the leading causes of mortality and morbidity for Americans but public health surveillance for these conditions is limited. Health departments currently use telephone interviews, medical surveys, and death certificates to gather… read more