Displaying results 1 - 3 of 3
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Comparing Methods for Sentinel Surveillance Site Placement
Content Type: Abstract
Influenza-like illness (ILI) data is collected via an Influenza Sentinel Provider Surveillance Network at the state level. Because participation is voluntary, locations of the sentinel providers may not reflect optimal geographic placement. This… read more… algorithms with respect to outbreak intensity and timing (i.e., being able to capture the start, peak and end of the … algorithms with respect to outbreak intensity and timing (i.e., being able to capture the start, peak and end of the … permitting all non-commercial use, distribution, and reproduction in … -
Situational Awareness for Unfolding Gastrointestinal Outbreaks Using Historical Data
Content Type: Abstract
The CDC defines a foodborne outbreak as two or more people getting the same illness from the same contaminated food or drink. These illnesses are often characterized as gastroenteritis until the causative agent is identified (bacterial or viral).… read more… the causative agent is identified (bacterial or viral). Due to the globally interconnected food distribution system, … the causative agent is identified (bacterial or viral). Due to the globally interconnected food distribution system, … -
Evaluating the performance of two alternative geographic surveillance schemes
Content Type: Abstract
Influenza-like illness (ILI) data is collected by an Influenza Sentinel Provider Surveillance Network at the state (Iowa, USA) level. Historically, the Iowa Department of Public Health has maintained 19 different influenza sentinel… read more… implemented in the web calculator choose ‘better’ sites de novo for Iowa than the existing 19 sites hand-picked by the IDPH. First, we generated 19 sites de novo using each algorithm. Then, we used 8 years of … for each probability function. The 19 sites calculated de novo using the K-median model capture 3.3% more cases …