Displaying results 1 - 8 of 33
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Who's Not Coming to Dinner? Evaluating Trends in Online Restaurant Reservations for Outbreak Surveillance
Content Type: Abstract
Epidemiologists, public health agencies and scientists increasingly augment traditional surveillance systems with alternative data sources such as, digital surveillance systems utilizing news reports and social media, over-the-counter medication… read more -
A Controlled Vocabulary for "Reason for Visit" in Ambulatory Encounters
Content Type: Abstract
Objective: To enable improved health surveillance and clinical decision support within ambulatory Electronic Health Record (EHR) systems. -
Assessing and Optimizing the Accuracy of Physician Billing Claims for Use in Automated Syndromic Surveillance
Content Type: Abstract
To assess the accuracy of community-based physician claims for identifying 5 syndromes: fever, gastrointestinal, neurological, rash, and respiratory. -
Beyond Detection: Attack Characterization with Syndromic and Clinical Data
Content Type: Abstract
Most research in syndromic surveillance has emphasized early detection, but clinical diagnosis of the index case will tend to occur before detection by syndromic surveillance for certain types of outbreaks [1]. Syndromic surveillance may, however,… read more -
Does Climate Predict the Timing of Peak Influenza Activity in the United States?
Content Type: Abstract
Though spatio-temporal patterns of influenza spread have often suggested that environmental factors, such as temperature, solar radiation and humidity play a key role, few studies have directly assessed their effect on the timing… read more -
Estimating spatial patterning of dietary behaviors using grocery transaction data
Content Type: Abstract
Unhealthy diet is becoming the most important preventable cause of chronic disease burden. Dietary patterns vary across neighborhoods as a function of policy, marketing, social support, economy, and the commercial food environment. Assessment of… read more -
Determinants of Outbreak Detection Performance
Content Type: Abstract
The choice of outbreak detection algorithm and its configuration can result in important variations in the performance of public health surveillance systems. Our work aims to characterize the performance of detectors based on outbreak types. We are… read more -
Using Surveillance Data to Identify Risk Factors for Severe H1N1 in First Nations
Content Type: Abstract
Research has shown that Canadian First Nation (FN) populations were disproportionately affected by the 2009 H1N1 influenza pan- demic. However, the mechanisms for the disproportionate outcomes are not well understood. Possibilities such as… read more