Evidence map›Paper›PMID 14728233›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2003

Integrating syndromic surveillance data across multiple locations: effects on outbreak detection performance.

Ben Y Reis, Kenneth D Mandl

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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. Article
  2. Review
  3. How next-generation sequencing and multiscale data analysis will transform infectious disease management.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. AEGIS: a robust and scalable real-time public health surveillance system.Journal of the American Medical Informatics Association : JAMIA
    Article
  11. Article
  12. Article
  13. Implementing syndromic surveillance: a practical guide informed by the early experience.Journal of the American Medical Informatics Association : JAMIA
    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

2 authors.

Ben Y ReisChildren's Hospital Boston, MA, USA.
Kenneth D Mandl

Funding

Disease Surveillance in Real Time: Geotemporal MethodsR01LM007677 · NLM · CHILDREN'S HOSPITAL BOSTON · PI MANDL, KENNETH D. · 2003 to 2009
$2.9M
NLM NIH HHS R01 LM007677NLM NIH HHS R01LM07677-01
6 · The paper itself

Abstract

Syndromic surveillance systems are being deployed widely to monitor for signals of covert bioterrorist attacks. Regional systems are being established through the integration of local surveillance data across multiple facilities. We studied how different methods of data integration affect outbreak detection performance. We used a simulation relying on a semi-synthetic dataset, introducing simulated outbreaks of different sizes into historical visit data from two hospitals. In one simulation, we introduced the synthetic outbreak evenly into both hospital datasets (aggregate model). In the second, the outbreak was introduced into only one or the other of the hospital datasets (local model). We found that the aggregate model had a higher sensitivity for detecting outbreaks that were evenly distributed between the hospitals. However, for outbreaks that were localized to one facility, maintaining individual models for each location proved to be better. Given the complementary benefits offered by both approaches, the results suggest building a hybrid system that includes both individual models for each location, and an aggregate model that combines all the data. We also discuss options for multi-level signal integration hierarchies.

Indexed as

BioterrorismData Interpretation, StatisticalModels, StatisticalSystems IntegrationDisease OutbreaksEmergency Service, HospitalHospital Information SystemsHospitals, UrbanHumansPopulation SurveillancePublic Health Informatics

Identifiers

PMID14728233
PMCPMC1479922

What OpenQuestion holds

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Registered trials

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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.