Evidence map›Paper›PMID 27571203›Full record

ArticlePloS one2016

Surveillance of Infectious Diseases by the Sentinel Laboratory Network in Belgium: 30 Years of Continuous Improvement.

Gaëtan Muyldermans, Geneviève Ducoffre, Mathias Leroy, Yves Dupont, Sophie Quolin, participating sentinel laboratories

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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, 19 citations in OpenAlex.

  1. How to ensure effective and sustainable ILI surveillance in Belgian general practices? : protocol.Archives of public health = Archives belges de sante publique · 2026
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  3. Rising incidence of invasive bacterial infections in Belgium following the COVID-19 pandemic.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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

6 authors at 1 institution in 1 country.

Gaëtan MuyldermansWIV-ISP, OD Public Health and Surveillance, Unit 'Epidemiology of infectious diseases', Brussels, Belgium.
Geneviève DucoffreWIV-ISP, OD Public Health and Surveillance, Unit 'Epidemiology of infectious diseases', Brussels, Belgium.
Mathias LeroyWIV-ISP, OD Public Health and Surveillance, Unit 'Epidemiology of infectious diseases', Brussels, Belgium.
Yves DupontWIV-ISP, OD Public Health and Surveillance, Unit 'Epidemiology of infectious diseases', Brussels, Belgium.
Sophie QuolinWIV-ISP, OD Public Health and Surveillance, Unit 'Epidemiology of infectious diseases', Brussels, Belgium.
participating sentinel laboratories
Institut Scientifique de Santé Publique · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 1983 the sentinel laboratory network was established because of the need to describe the epidemiological evolution of infectious diseases. During the study period of 30 years (1983-2013), microbiology laboratories reported on weekly basis the laboratory diagnosed cases for a selection of infectious diseases. This resulted in a large longitudinal laboratory based database allowing to provide trends over time and distribution by person and place. During this period, adaptations to data collection were made due to changes in diagnostic methods and public health priorities, introduction and application of digital revolution, and multiple reorganizations of the laboratories. Since the surveillance network is dynamic, it necessitates a continuous evaluation to ensure that, over time, it continues to be representative of the general epidemiological trends in the country. Secondly the aim is to examine the robustness and stability of this surveillance system. Here we demonstrated that the flexibility of the data collection methodology by the sentinel laboratory network is unique and that adaptations do not affect the capacity of the system to follow trends. Therefore, the surveillance by this network is representative of the current epidemiological situation in Belgium. To our knowledge, no such surveillance network with such a long-term follow-up and demonstrated stability for multiple infectious diseases in the general population was earlier described. Furthermore, expected trends due to the implementation of vaccination or other events were accurately detected. The collected data obtained from this network allows interesting comparisons with other national and international information sources.

Indexed as

Communicable DiseasesSentinel SurveillanceBelgiumHumansLaboratoriesPublic Health

Identifiers

PMID27571203
PMCPMC5003365
OpenAlexW2508824002

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.