Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

ESSENCE II and the framework for evaluating syndromic surveillance systems.

Joseph S Lombardo1, H Burkom, J Pavlin

  • 1Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD 20723, USA. Joe.Lombardo@jhuapl.edu

MMWR Supplements
|February 18, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Combining surveillance systems: effective merging of U.S. Veteran and military health data.

PloS one·2014
Same author

An informatics solution for informing care delivery of immediate public health risks to their patients.

Online journal of public health informatics·2013
Same author

Pneumonia in US hospitalized patients with influenza-like illness: BioSense, 2007-2010.

Epidemiology and infection·2012
Same author

Investigating the effect of high spring incidence of pandemic influenza A(H1N1) on early autumn incidence.

Epidemiology and infection·2012
Same author

Usefulness of syndromic data sources for investigating morbidity resulting from a severe weather event.

Disaster medicine and public health preparedness·2011
Same author

A public health role for Internet search engine query data?

Military medicine·2009
Same journal

Overview and Methods for the Youth Risk Behavior Surveillance System - United States, 2023.

MMWR supplements·2024
Same journal

Physical Activity Behaviors and Negative Safety and Violence Experiences Among High School Students - Youth Risk Behavior Survey, United States, 2023.

MMWR supplements·2024
Same journal

Skipping Breakfast and Academic Grades, Persistent Feelings of Sadness or Hopelessness, and School Connectedness Among High School Students - Youth Risk Behavior Survey, United States, 2023.

MMWR supplements·2024
Same journal

Mental Health and Suicide Risk Among High School Students and Protective Factors - Youth Risk Behavior Survey, United States, 2023.

MMWR supplements·2024
Same journal

Report of Unfair Discipline at School and Associations with Health Risk Behaviors and Experiences - Youth Risk Behavior Survey, United States, 2023.

MMWR supplements·2024
Same journal

Asking for Verbal Sexual Consent and Experiences of Sexual Violence and Sexual Behaviors Among High School Students - Youth Risk Behavior Survey, United States, 2023.

MMWR supplements·2024
See all related articles

The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II) effectively detects health events early. This syndromic surveillance system demonstrates a useful and cost-effective approach for public health surveillance.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II) is a prototype system.
  • It is designed for capturing and analyzing public health indicators.
  • ESSENCE II aims for the early detection of disease outbreaks.

Purpose of the Study:

  • To present a preliminary evaluation of the ESSENCE II system.
  • The evaluation follows a framework established by the Centers for Disease Control and Prevention (CDC).
  • This assessment focuses on the performance of ESSENCE II.

Main Methods:

  • The evaluation addresses each major topic within the CDC framework.
  • ESSENCE II captures data in various formats.

Related Experiment Videos

  • It parses text strings into syndrome groupings and applies temporal and spatio-temporal outbreak-detection algorithms.
  • Main Results:

    • ESSENCE II algorithms detected health events with a median delay of 1 day.
    • This detection occurred after the earliest possible detection opportunity during a DARPA evaluation.
    • The system demonstrated effective data parsing and algorithm application.

    Conclusions:

    • ESSENCE II demonstrated excellent performance against the CDC evaluation framework.
    • The system is a useful and cost-effective method for early health event detection.
    • ESSENCE II proves valuable for public health surveillance.