Evidence map›Paper›PMID 23856373›Full record

ReviewJournal of epidemiology and global health2011

Redefining syndromic surveillance.

Rebecca Katz, Larissa May, Julia Baker, Elisa Test

Abstract readReview
In one paragraph

Review in Journal of epidemiology and global health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  12. Article
  13. The Impact of Law on Syndromic Disease Surveillance Implementation.Journal of public health management and practice : JPHMP
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rebecca KatzSchool of Public Health and Health Services, George Washington University, 2021 K Street, NW, Suite 800, Washington, DC 20006, USA. rlkatz@gwu.edu
Larissa May
Julia Baker
Elisa Test

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With growing concerns about international spread of disease and expanding use of early disease detection surveillance methods, the field of syndromic surveillance has received increased attention over the last decade. The purpose of this article is to clarify the various meanings that have been assigned to the term syndromic surveillance and to propose a refined categorization of the characteristics of these systems. Existing literature and conference proceedings were examined on syndromic surveillance from 1998 to 2010, focusing on low- and middle-income settings. Based on the 36 unique definitions of syndromic surveillance found in the literature, five commonly accepted principles of syndromic surveillance systems were identified, as well as two fundamental categories: specific and non-specific disease detection. Ultimately, the proposed categorization of syndromic surveillance distinguishes between systems that focus on detecting defined syndromes or outcomes of interest and those that aim to uncover non-specific trends that suggest an outbreak may be occurring. By providing an accurate and comprehensive picture of this field's capabilities, and differentiating among system types, a unified understanding of the syndromic surveillance field can be developed, encouraging the adoption, investment in, and implementation of these systems in settings that need bolstered surveillance capacity, particularly low- and middle-income countries.

Indexed as

Population SurveillanceHumansPublic Health SurveillanceSyndromeacquired immune deficiency syndromeAIDSBiosurveillanceCDCCenters for Disease Control and PreventionDepartment of Defense Global Emerging Infections Surveillance and Response SystemDisease outbreaksDOD-GEISEarly Warning Outbreak Recognition SystemEpidemiologyEWORSICDIHRILIinfluenza-like illnessinformation technologyInternational Classification of DiseasesInternational Health RegulationsInternational Society for Disease SurveillanceISDSITJHU/APLJohns Hopkins University/Applied Physics LaboratoryPopulation surveillanceRegional Office for South-East AsiaSARSSBSSEAROsevere acute respiratory syndromesexually transmitted diseaseSNSSTDSyndromesyndromic-based surveillancesyndromic-non-specific surveillanceSyndromic surveillanceUnited StatesUnited States Agency for International DevelopmentUSUSAIDWHOWorld Health Organization

Identifiers

PMID23856373
PMCPMC7103945

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.