Support Vector Machines for Syndromic Surveillance

Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series level. Purely statistical methods used in disease surveillance look at each time series separately and tend to generate a large number of false alarms. Support Vector Machines can be used to develop rich multivariate models that allow detecting abnormal relationships between different time series leading to greatly reduced number of false alarms.


July 30, 2018

Use of Syndromic Surveillance of Emergency Room Chief Complaints for Enhanced Situational Awareness during Wildfires, Florida, 2008

We used the syndromic surveillance system ESSENCE (Electronic Surveillance System for the Early Notification of Community-based Epidemics) to evaluate emergency room (ER) visits with respiratory related chief complaints in an area with decreased air quality associated with wildfires affecting South Florida, 2008.

July 30, 2018

Using ESSENCE to Track a Gastrointestinal Outbreak in a Homeless Shelter in Miami-Dade County, 2008

To illustrate how Miami-Dade County Health Department (MDCHD) utilized ESSENCE in order to track a gastrointestinal (GI) outbreak in a homeless shelter

July 30, 2018

Components of Inter-Hospital Variability in Chief Complaints Assigned to a Gastrointestinal Syndrome

Patient’s chief complaint (CC) is often used for syndromic surveillance for bioterrorism and outbreak detection, but little is known about the inter-hospital variability in the sensitivity of this method. Objective: Our objective was to characterize the variability of a gastrointestinal (GI) CC text-matching algorithm.

July 30, 2018

Translational Research for Surveillance

Presented January 28, 2008

January 26, 2019

Dual Monitoring of ILI Syndrome Using the ESSENCE System

The threat of terrorism and high-profile disease outbreaks has drawn attention to public health syndromic surveillance systems for early detection of natural or man-made disease events. In this sense, the Miami-Dade County Health Department has implemented ESSENCE (Electronic Surveillance System for the Early Notification of Community-based Epidemics) in 2005; which has been developed and updated by the Johns Hopkins University.



July 30, 2018

GUARDIAN: Geographic Utilization of Artificial Intelligence in Real-Time for Disease Identification and Notification

Real-time disease surveillance is critical for early detection of the covert release of a biological threat agent (BTA). Numerous software applications have been developed to detect emerging disease clusters resulting from either naturally occurring phenomena or from occult acts of bioterrorism. However, these do not focus adequately on the diagnosis of BTA infection in proportion to the potential risk to public health.

July 30, 2018

Exercise Demonstrates Effective Syndromic Surveillance Response Process

Currently, Indiana monitors emergency department patient chief complaint data from 73 geographically dispersed hospitals. These data are analyzed using the Electronic Surveillance System for the Early Notification of Community-based Epidemics application. 

July 30, 2018

Use of Epidemiological Knowledge to Create Syndromic Surveillance Reports

Syndromic surveillance is an investigational approach used to monitor trends of illness in communities. It relies on pre-diagnostic health data rather than laboratory-confirmed clinical diagnoses. Its primary purpose is to detect disease outbreaks, incidents and unusual public health events earlier than possible with traditional public health surveillance methods.



July 30, 2018

Use of Syndromic Surveillance during a South Florida Mass Migration Exercise, Broward County

On March 7th and 8th of 2007 authorities from federal, state, county, and municipal jurisdictions/agencies having mass migration response responsibilities (as per the Department of Homeland Security Operation Vigilant Sentry, as well as State and Local plans) initiated the last of a series of mass migration exercise events. The mission of the exercise was to “unify” a federal, state, and local response to effectively mitigate a catastrophic mass migration incident, similar to the Mariel Boatlift (125,000+ migrants) in 1980.

July 30, 2018


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