Evidence map›Paper›PMID 24476632›Full record

ArticleEpidemiology and infection2014

A concept for routine emergency-care data-based syndromic surveillance in Europe.

A Ziemann, N Rosenkötter, L Garcia-Castrillo Riesgo, S Schrell, B Kauhl, G Vergeiner, M Fischer, F K Lippert, A Krämer, H Brand and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Why and when citizens call for emergency help: an observational study of 211,193 medical emergency calls.Scandinavian journal of trauma, resuscitation and emergency medicine · 2015
    Observational
  10. Article
  11. 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

11 authors.

A ZiemannDepartment of International Health, CAPHRI School of Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences,Maastricht University,Maastricht,The Netherlands.
N RosenkötterDepartment of International Health, CAPHRI School of Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences,Maastricht University,Maastricht,The Netherlands.
L Garcia-Castrillo RiesgoDepartment of Medical Sciences and Surgery, Faculty of Medicine,University of Cantabria,Santander,Spain.
S SchrellDepartment of International Health, CAPHRI School of Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences,Maastricht University,Maastricht,The Netherlands.
B KauhlDepartment of International Health, CAPHRI School of Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences,Maastricht University,Maastricht,The Netherlands.
G VergeinerDispatch Centre Tyrol (Leitstelle Tirol Gesellschaft mbH), Innsbruck,Austria.
M FischerDepartment of Anesthesia and Intensive Care, Klinik am Eichert, Goeppingen,Germany.
F K LippertEmergency Medical Services, Capital Region of Denmark, Copenhagen,Denmark.
A KrämerDepartment of Public Health Medicine, School of Public Health,University of Bielefeld,Bielefeld,Germany.
H BrandDepartment of International Health, CAPHRI School of Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences,Maastricht University,Maastricht,The Netherlands.
T KrafftDepartment of International Health, CAPHRI School of Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences,Maastricht University,Maastricht,The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a syndromic surveillance (SyS) concept using emergency dispatch, ambulance and emergency-department data from different European countries. Based on an inventory of sub-national emergency data availability in 12 countries, we propose framework definitions for specific syndromes and a SyS system design. We tested the concept by retrospectively applying cumulative sum and spatio-temporal cluster analyses for the detection of local gastrointestinal outbreaks in four countries and comparing the results with notifiable disease reporting. Routine emergency data was available daily and electronically in 11 regions, following a common structure. We identified two gastrointestinal outbreaks in two countries; one was confirmed as a norovirus outbreak. We detected 1/147 notified outbreaks. Emergency-care data-based SyS can supplement local surveillance with near real-time information on gastrointestinal patients, especially in special circumstances, e.g. foreign tourists. It most likely cannot detect the majority of local gastrointestinal outbreaks with few, mild or dispersed cases.

Indexed as

Public Health SurveillanceCommunicable DiseasesDatabases, FactualDisease OutbreaksEmergency Medical ServicesEmergency Service, HospitalEuropeFemaleGastrointestinal DiseasesHumansMaleRetrospective StudiesRisk AssessmentSyndrome

Identifiers

PMID24476632
PMCPMC9151269

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.