Evidence map›Paper›PMID 35243790›Full record

ReviewZoonoses and public health2022

Identifying scenarios and risk factors for Q fever outbreaks using qualitative analysis of expert opinion.

Tabita Su-En Tan, Marta Hernandez-Jover, Lynne Maree Hayes, Anke Katrin Wiethoelter, Simon Matthew Firestone, Mark Anthony Stevenson, Jane Heller

Open access · hybridAbstract readReview
In one paragraph

Review in Zoonoses and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  13. A systematic review of global Q fever outbreaks.One health (Amsterdam, Netherlands) · 2024
    Review
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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

7 authors at 2 institutions in 1 country.

Tabita Su-En TanGulbali Institute, Charles Sturt University, Wagga Wagga, Australia.ORCID 0000-0001-6738-254X
Marta Hernandez-JoverGulbali Institute, Charles Sturt University, Wagga Wagga, Australia.ORCID 0000-0001-8803-9062
Lynne Maree HayesGulbali Institute, Charles Sturt University, Wagga Wagga, Australia.ORCID 0000-0002-5172-0281
Anke Katrin WiethoelterFaculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-7872-934X
Simon Matthew FirestoneFaculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-3239-1419
Mark Anthony StevensonFaculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-1890-9784
Jane HellerGulbali Institute, Charles Sturt University, Wagga Wagga, Australia.ORCID 0000-0003-3993-0160
Charles Sturt University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Q fever is an important zoonotic disease perceived to be an occupational hazard for those working with livestock. Outbreaks involving large numbers of people are uncommon, but the increasing case incidence coupled with changing environmental and industry conditions that promote transmission of Q fever has raised concerns that large and serious outbreaks could become more frequent. The aim of this study was to use expert opinion to better understand how large Q fever outbreaks might occur in an Australian context and to document factors believed to be drivers of disease transmission. Focus groups were conducted with human and animal health professionals across several Australian states. All discussions were recorded, transcribed verbatim and imported into NVIVO for thematic analysis. Four anthropogenic risk factors (disease awareness, industry practices, land use, human behaviour) and three ecological risk factors (physical environment, agent dissemination, animal hosts) emerged from the data. Analysis of expert opinions pointed to the existence of numerous scenarios in which Q fever outbreaks could occur, many of which depict acquisition in the wider community outside of traditional at-risk occupations. This perception of the expansion of Q fever from occupational-acquisition to community-acquisition is driven by greater overarching economic, political and socio-cultural influences that govern the way in which people live and work. Findings from this study highlight that outbreaks are complex phenomena that involve the convergence of diverse elements, not just that of the pathogen and host, but also the physical, political and socioeconomic environments in which they interact. A review of the approaches to prevent and manage Q fever outbreaks will require a multisectorial approach and strengthening of community education, communication and engagement so that all stakeholders become an integrated part of outbreak mitigation and response.

Indexed as

Coxiella burnetiiQ FeverAnimalsAustraliaDisease OutbreaksHumansRisk FactorsCoxielladisease outbreaksdisease preventionQ feverqualitative researchrisk factors

Identifiers

PMID35243790
PMCPMC9310758
OpenAlexW4214891778

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.