Evidence map›Paper›PMID 28935025›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2017

Burden of salmonellosis, campylobacteriosis and listeriosis: a time series analysis, Belgium, 2012 to 2020.

Charline Maertens de Noordhout, Brecht Devleesschauwer, Juanita A Haagsma, Arie H Havelaar, Sophie Bertrand, Olivier Vandenberg, Sophie Quoilin, Patrick T Brandt, Niko Speybroeck

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. A decision analysis of cancer patients and the consumption of ready-to-eat salad.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  5. Forecasting Foodborne Disease Risk Caused byFoods (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Burden of foodborne diseases: think global, act local.Current opinion in food science · 2021
    Review
  12. Virulence and Antibiotic Resistance Genes inFrontiers in microbiology · 2021
    Article
  13. Article
  14. Article
  15. 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.

Charline Maertens de NoordhoutInstitute of Health and Society (IRSS), Université catholique de Louvain, Brussels, Belgium.
Brecht DevleesschauwerDepartment of Public Health and Surveillance, Scientific Institute of Public Health (WIV-ISP), Brussels, Belgium.
Juanita A HaagsmaDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands.
Arie H HavelaarUtrecht University, Utrecht, the Netherlands.
Sophie BertrandDepartment of Public Health and Surveillance, Scientific Institute of Public Health (WIV-ISP), Brussels, Belgium.
Olivier VandenbergUniversité libre de Bruxelles, Brussels, Belgium.
Sophie QuoilinDepartment of Public Health and Surveillance, Scientific Institute of Public Health (WIV-ISP), Brussels, Belgium.
Patrick T BrandtUniversity of Texas, Dallas, Richardson, Texas, United States.
Niko SpeybroeckInstitute of Health and Society (IRSS), Université catholique de Louvain, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salmonellosis, campylobacteriosis and listeriosis are food-borne diseases. We estimated and forecasted the number of cases of these three diseases in Belgium from 2012 to 2020, and calculated the corresponding number of disability-adjusted life years (DALYs). The salmonellosis time series was fitted with a Bai and Perron two-breakpoint model, while a dynamic linear model was used for campylobacteriosis and a Poisson autoregressive model for listeriosis. The average monthly number of cases of salmonellosis was 264 (standard deviation (SD): 86) in 2012 and predicted to be 212 (SD: 87) in 2020; campylobacteriosis case numbers were 633 (SD: 81) and 1,081 (SD: 311); listeriosis case numbers were 5 (SD: 2) in 2012 and 6 (SD: 3) in 2014. After applying correction factors, the estimated DALYs for salmonellosis were 102 (95% uncertainty interval (UI): 8-376) in 2012 and predicted to be 82 (95% UI: 6-310) in 2020; campylobacteriosis DALYs were 1,019 (95% UI: 137-3,181) and 1,736 (95% UI: 178-5,874); listeriosis DALYs were 208 (95% UI: 192-226) in 2012 and 252 (95% UI: 200-307) in 2014. New actions are needed to reduce the risk of food-borne infection with Campylobacter spp. because campylobacteriosis incidence may almost double through 2020.

Indexed as

Cost of IllnessQuality-Adjusted Life YearsBelgiumCampylobacter InfectionsFoodborne DiseasesGlobal HealthHumansIncidenceListeriosisModels, EconomicSalmonella InfectionsTime FactorsBelgiumburdencampylobacteriosisDALYslisteriosispredictionSalmonellosistime series

Identifiers

PMID28935025
PMCPMC5709949

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.