Evidence map›Paper›PMID 30402920›Full record

SynthesisZoonoses and public health2019

A systematic knowledge synthesis on the spatial dimensions of Q fever epidemics.

Myrna M T De Rooij, Jeroen P G Van Leuken, Arno Swart, Mirjam E E Kretzschmar, Mirjam Nielen, Aline A De Koeijer, Ingmar Janse, Inge M Wouters, Dick J J Heederik

Abstract readSystematic Review
In one paragraph

Synthesis in Zoonoses and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Myrna M T De RooijInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-6560-4839
Jeroen P G Van LeukenCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Arno SwartCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Mirjam E E KretzschmarCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Mirjam NielenFaculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Aline A De KoeijerCentral Veterinary Institute, Wageningen University and Research Centre, Lelystad, The Netherlands.
Ingmar JanseCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Inge M WoutersInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
Dick J J HeederikInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From 2007 through 2010, the Netherlands experienced the largest Q fever epidemic ever reported. This study integrates the outcomes of a multidisciplinary research programme on spatial airborne transmission of Coxiella burnetii and reflects these outcomes in relation to other scientific Q fever studies worldwide. We have identified lessons learned and remaining knowledge gaps. This synthesis was structured according to the four steps of quantitative microbial risk assessment (QMRA): (a) Rapid source identification was improved by newly developed techniques using mathematical disease modelling; (b) source characterization efforts improved knowledge but did not provide accurate C. burnetii emission patterns; (c) ambient air sampling, dispersion and spatial modelling promoted exposure assessment; and (d) risk characterization was enabled by applying refined dose-response analyses. The results may support proper and timely risk assessment and risk management during future outbreaks, provided that accurate and structured data are available and exchanged readily between responsible actors.

Indexed as

EpidemicsModels, BiologicalAnimalsCoxiella burnetiiHumansQ Feverairborne exposureCoxiella burnetiiepidemiologyQ feverrisk assessmentspatial analysis

Identifiers

PMID30402920
PMCPMC7379662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.