Evidence map›Paper›PMID 26336097›Full record

ArticleBMC infectious diseases2015

Integrating interdisciplinary methodologies for One Health: goat farm re-implicated as the probable source of an urban Q fever outbreak, the Netherlands, 2009.

Georgia A F Ladbury, Jeroen P G Van Leuken, Arno Swart, Piet Vellema, Barbara Schimmer, Ronald Ter Schegget, Wim Van der Hoek

Abstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. A systematic review of global Q fever outbreaks.One health (Amsterdam, Netherlands) · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Is a One Health Approach Utilized for Q Fever Control? A Comprehensive Literature Review.International journal of environmental research and public health · 2019
    Review
  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

7 authors.

Georgia A F LadburyCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), PO Box 1, , 3720 BA, Bilthoven, The Netherlands. gladbury@gmail.com.
Jeroen P G Van LeukenCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), PO Box 1, , 3720 BA, Bilthoven, The Netherlands. jeroen.van.leuken@rivm.nl.
Arno SwartCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), PO Box 1, , 3720 BA, Bilthoven, The Netherlands. arno.swart@rivm.nl.
Piet VellemaDepartment of Small Ruminant Health, Animal Health Service (GD), Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands. p.vellema@tiscali.nl.
Barbara SchimmerCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), PO Box 1, , 3720 BA, Bilthoven, The Netherlands. barbara.schimmer@rivm.nl.
Ronald Ter ScheggetMunicipal Health Service Brabant-Zuidoost, Clausplein 10, 5611 XP, Eindhoven, The Netherlands. r.terschegget@ggdbzo.nl.
Wim Van der HoekCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), PO Box 1, , 3720 BA, Bilthoven, The Netherlands. wim.van.der.hoek@rivm.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn spring 2008, a goat farm experiencing Q fever abortions ("Farm A") was identified as the probable source of a human Q fever outbreak in a Dutch town. In 2009, a larger outbreak with 347 cases occurred in the town, despite no clinical Q fever being reported from any local farm.

methodsOur study aimed to identify the source of the 2009 outbreak by applying a combination of interdisciplinary methods, using data from several sources and sectors, to investigate seventeen farms in the area: namely, descriptive epidemiology of notified cases; collation of veterinary data regarding the seventeen farms; spatial attack rate and relative risk analyses; and GIS mapping of farms and smooth incidence of cases. We conducted further spatio-temporal analyses that integrated temporal data regarding date of onset with spatial data from an atmospheric dispersion model with the most highly suspected source at the centre.

resultsOur analyses indicated that Farm A was again the most likely source of infection, with persons living within 1 km of the farm at a 46 times larger risk of being a case compared to those living within 5-10 km. The spatio-temporal analyses demonstrated that about 60 - 65 % of the cases could be explained by aerosol transmission from Farm A assuming emission from week 9; these explained cases lived significantly closer to the farm than the unexplained cases (p = 0.004). A visit to Farm A revealed that there had been no particular changes in management during the spring/summer of 2009, nor any animal health problems around the time of parturition or at any other time during the year.

conclusionsWe conclude that the probable source of the 2009 outbreak was the same farm implicated in 2008, despite animal health indicators being absent. Veterinary and public health professionals should consider farms with past as well as current history of Q fever as potential sources of human outbreaks.

Indexed as

CitiesDisease OutbreaksAbortion, VeterinaryAgricultureAnimal HusbandryAnimalsCoxiella burnetiiFemaleGoat DiseasesGoatsHumansIncidenceMaleMiddle AgedNetherlandsPregnancy

Identifiers

PMID26336097
PMCPMC4558730

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.