Evidence map›Paper›PMID 24678377›Full record

ArticleOnline journal of public health informatics2014

Technical Description of the Distribute Project: A Community-based Syndromic Surveillance System Implementation.

William B Lober, Blaine Reeder, Ian Painter, Debra Revere, Kim Goldov, Paul F Bugni, Justin McReynolds, Donald R Olson

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. 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

8 authors.

William B LoberUniversity of Washington, Seattle, WA.
Blaine ReederUniversity of Colorado | Anschutz Medical Campus, Aurora, CO.
Ian PainterUniversity of Washington, Seattle, WA.
Debra RevereUniversity of Washington, Seattle, WA.
Kim GoldovUniversity of Washington, Seattle, WA.
Paul F BugniUniversity of Washington, Seattle, WA.
Justin McReynoldsUniversity of Washington, Seattle, WA.
Donald R OlsonInternational Society for Disease Surveillance, New York City, NY.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

This paper describes the design of a syndromic surveillance system implemented for community-based monitoring of influenza-like illness. The system began as collaboration between colleagues from state and large metropolitan area health jurisdictions, academic institutions, and the non-profit, International Society for Disease Surveillance. Over the six influenza seasons from 2006 to 2012, the system was automated and enhanced, with new features and infrastructure, and the resulting, reliable, enterprise grade system supported peer comparisons between 44 state and local public health jurisdictions who voluntarily contributed summarized data on influenza-like illness and gastrointestinal syndromes. The system was unusual in that it addressed the needs of a widely distributed, voluntary, community engaged in real-time data integration to support operational public health.

Indexed as

Internetpublic health standardssecondary use of health datasurveillance practicesyndromic surveillance

Identifiers

PMID24678377
PMCPMC3959914

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.