Displaying results 1 - 2 of 2
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Approaches to Prediction Models for Poison Control Center-Based Syndromic Surveillance for Foodborne Illness
Content Type: Abstract
To construct and validate a prediction algorithm that detects early increases in laboratory reports of enteric illnesses on the basis of calls to a poison control center reporting suspected foodborne illnesses. -
Active Surveillance of Foodborne Illnesses Using a Novel Syndrome Database
Content Type: Abstract
Poison control centers (PCCs) provide a new source of real-time symptom data that could enhance surveillance systems for foodborne disease outbreaks (FBDOs) through more timely public health department interventions. PCCs provide treatment advice to… read more