Evidence map›Paper›PMID 22547862›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Integration of syndromic surveillance data into public health practice at state and local levels in North Carolina.

Erika Samoff, Anna Waller, Aaron Fleischauer, Amy Ising, Meredith K Davis, Mike Park, Stephanie W Haas, Lauren DiBiase, Pia D M MacDonald

Open access · greenAbstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. A statewide evaluation of seven strategies to reduce opioid overdose in North Carolina.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2018
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Implementation of Emergency Medical Text Classifier for syndromic surveillance.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    Article
  12. The Impact of Law on Syndromic Disease Surveillance Implementation.Journal of public health management and practice : JPHMP
    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

9 authors at 2 institutions in 1 country.

Erika SamoffThe University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Institute for Public Health, Chapel Hill, NC, USA. erika.samoff@unc.edu
Anna Waller
Aaron Fleischauer
Amy Ising
Meredith K Davis
Mike Park
Stephanie W Haas
Lauren DiBiase
Pia D M MacDonald
University of North Carolina at Chapel Hill · USOffice of Readiness and Response · US

Funding

OPHPR CDC HHS P01 TP000296OPHPR CDC HHS P01 TP 000296-02
6 · The paper itself

Abstract

objectivesWe sought to describe the integration of syndromic surveillance data into daily surveillance practice at local health departments (LHDs) and make recommendations for the effective integration of syndromic and reportable disease data for public health use.

methodsStructured interviews were conducted with local health directors and communicable disease nursing staff from a stratified random sample of LHDs from May through September 2009. Interviews captured information on direct access to the North Carolina syndromic surveillance system and on the use of syndromic surveillance information for outbreak management, program management, and the creation of reports. We analyzed syndromic surveillance system data to assess the number of signals resulting in a public health response.

resultsSyndromic surveillance data were used for outbreak investigation (19% of respondents) and program management and report writing (43% of respondents); a minority reported use of both syndromic and reportable disease data for these purposes (15% and 23%, respectively). Receiving data from frequent system users was associated with using data for these purposes (p=0.016 and p=0.033, respectively, for syndromic and reportable disease data). A small proportion of signals (<25%) resulted in a public health response.

conclusionsUse of syndromic surveillance data by North Carolina local public health authorities resulted in meaningful public health action, including both case investigation and program management. While useful, the syndromic surveillance data system was oriented toward sensitivity rather than efficiency. Successful incorporation of new surveillance data is likely to require systems that are oriented toward efficiency.

Indexed as

Local GovernmentPublic Health AdministrationSentinel SurveillanceState GovernmentData CollectionDisease NotificationDisease OutbreaksHealth Planning GuidelinesHumansNorth CarolinaPublic Health PracticeStatistics as Topic

Identifiers

PMID22547862
PMCPMC3314075
OpenAlexW165787389

What OpenQuestion holds

Textmetadata
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.