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Related Experiment Video

Updated: May 9, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

Redefining syndromic surveillance.

Rebecca Katz1, Larissa May, Julia Baker

  • 1School of Public Health and Health Services, George Washington University, 2021 K Street, NW, Suite 800, Washington, DC 20006, USA. rlkatz@gwu.edu

Journal of Epidemiology and Global Health
|July 17, 2013
PubMed
Summary
This summary is machine-generated.

Syndromic surveillance systems, crucial for early disease detection, are categorized into specific and non-specific types. This classification aims to unify understanding and promote adoption, especially in low-resource countries.

Keywords:
AIDSBiosurveillanceCDCCenters for Disease Control and PreventionDOD-GEISDepartment of Defense Global Emerging Infections Surveillance and Response SystemDisease outbreaksEWORSEarly Warning Outbreak Recognition SystemEpidemiologyICDIHRILIISDSITInternational Classification of DiseasesInternational Health RegulationsInternational Society for Disease SurveillanceJHU/APLJohns Hopkins University/Applied Physics LaboratoryPopulation surveillanceRegional Office for South-East AsiaSARSSBSSEAROSNSSTDSyndromeSyndromic surveillanceUSUSAIDUnited StatesUnited States Agency for International DevelopmentWHOWorld Health Organizationacquired immune deficiency syndromeinfluenza-like illnessinformation technologysevere acute respiratory syndromesexually transmitted diseasesyndromic-based surveillancesyndromic-non-specific surveillance

Related Experiment Videos

Last Updated: May 9, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

Area of Science:

  • Public Health
  • Epidemiology
  • Infectious Disease Surveillance

Background:

  • Syndromic surveillance has gained prominence due to global disease spread concerns and early detection needs.
  • Existing literature reveals diverse interpretations and applications of syndromic surveillance.
  • Focus on low- and middle-income settings highlights disparities in surveillance capacity.

Purpose of the Study:

  • To clarify the varied meanings of 'syndromic surveillance'.
  • To propose a refined categorization of syndromic surveillance systems.
  • To foster a unified understanding and encourage wider implementation.

Main Methods:

  • Systematic review of syndromic surveillance literature and conference proceedings (1998-2010).
  • Analysis of 36 unique definitions to identify common principles and categories.
  • Examination of systems, particularly in low- and middle-income countries.

Main Results:

  • Identified five commonly accepted principles of syndromic surveillance systems.
  • Established two fundamental categories: specific and non-specific disease detection.
  • Differentiated systems based on detecting defined syndromes versus non-specific outbreak trends.

Conclusions:

  • A proposed categorization distinguishes between systems detecting defined syndromes and those identifying non-specific trends.
  • This refined understanding can enhance the adoption and investment in syndromic surveillance.
  • Implementation is particularly encouraged in low- and middle-income countries needing stronger surveillance capacity.