Review of 20 years of human acute Q fever notifications in Victoria, 1994–2013

Bond, Katherine; Franklin, Lucinda; Sutton, Brett; Stevenson, Mark; Firestone, Simon M.

doi:10.1111/avj.12704

Cited by 17 publications

(18 citation statements)

References 21 publications

(24 reference statements)

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“…Rather, this pattern could reflect heightened awareness of the disease and its health impacts, or perhaps a shift from primarily acute cases in livestock workers to non‐occupational cases that are more difficult to diagnose due to a lack of obvious exposure pathways. Indeed, the authors of a recent time‐series analysis of Q fever notifications in Victoria, Australia, found evidence for such a pattern and postulated that many mild cases likely remain undiagnosed, leading to a relatively high hospitalization rate for those more severe cases that are confirmed as Q fever (Bond et al., 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Q fever is a globally distributed emerging infectious disease caused by the bacterium Coxiella burnetii (Allan‐Blitz, Sakona, Wallace, & Klausner, 2018; Bond, Franklin, Sutton, Stevenson, & Firestone, 2018; Gyuranecz et al., 2014; Van der Hoek et al., 2010). Acute infection with C. burnetii is commonly described as a flu‐like illness with symptoms including high fevers, headaches or pneumonia, as well as atypical symptoms such as hepatitis or myocarditis (Raoult & Marrie, 1995; Sellens et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

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Unravelling animal exposure profiles of human Q fever cases in Queensland, Australia, using natural language processing

Clark

Tozer

Wood

et al. 2020

Transbound Emerg Dis

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Q fever, caused by the zoonotic bacterium Coxiella burnetii, is a globally distributed emerging infectious disease. Livestock are the most important zoonotic transmission sources, yet infection in people without livestock exposure is common. Identifying potential exposure pathways is necessary to design effective interventions and aid outbreak prevention. We used natural language processing and graphical network methods to provide insights into how Q fever notifications are associated with variation in patient occupations or lifestyles. Using an 18‐year time‐series of Q fever notifications in Queensland, Australia, we used topic models to test whether compositions of patient answers to follow‐up exposure questionnaires varied between demographic groups or across geographical areas. To determine heterogeneity in possible zoonotic exposures, we explored patterns of livestock and game animal co‐exposures using Markov Random Fields models. Finally, to identify possible correlates of Q fever case severity, we modelled patient probabilities of being hospitalized as a function of particular exposures. Different demographic groups consistently reported distinct sets of exposure terms and were concentrated in different areas of the state, suggesting the presence of multiple transmission pathways. Macropod exposure was commonly reported among Q fever cases, even when exposure to cattle, sheep or goats was absent. Males, older patients and those that reported macropod exposure were more likely to be hospitalized due to Q fever infection. Our study indicates that follow‐up surveillance combined with text modelling is useful for unravelling exposure pathways in the battle to reduce Q fever incidence and associated morbidity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unravelling animal exposure profiles of human Q fever cases in Queensland, Australia, using natural language processing

Clark

Tozer

Wood

et al. 2020

Transbound Emerg Dis

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“…Increased incidence of local acquisition of human infection may be associated with high prevalence in livestock [32]. Hence, investigation of C. burnetii seroprevalence in sheep from New South Wales and Queensland is warranted.…”

Section: Discussionmentioning

confidence: 99%

Coxiella burnetii seroprevalence in primiparous and multiparous ewes from southern Australia: a cross-sectional study

Clune

Lockwood

Hancock

et al. 2021

Preprint

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Coxiella burnetii can cause reproductive disease in sheep and zoonotic Q-fever infections in humans. The role of infectious diseases including coxiellosis in causing poorer reproductive performance of primiparous ewes is not well studied. The aim of this study was to determine if natural exposure to C. burnetii is associated with poor reproductive performance of primiparous ewes and compare seroprevalence of primiparous and multiparous ewes. Coxiella burnetii seroprevalence was 0.08% (95% confidence interval 0.01, 0.36) in primiparous ewes and 0.36% (0.07, 1.14) in mature ewes. Coxiella burnetii was not detected in tissue samples from aborted or stillborn lambs using molecular diagnostic tests (qPCR). These findings suggest that C. burnetii infection was unlikely to be an important contributor to abortion and perinatal mortalities observed for primiparous ewes, and exposure to C. burnetii was not widespread in ewes on farms located over wide geographical region of southern Australia.

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“…Using risk analysis maps, the authors of our final paper in this issue identified risk areas according to location over time . They show an overall decrease in the numbers of notifications, particularly those associated with abattoirs, and a relative increase in the numbers of women affected.…”

Section: One Healthmentioning

confidence: 99%

In this issue – June 2018: Diversity of Haemophilus parasuis isolates from Australian piggeries · Detection of bovine noroviruses in Australian dairy cattle · Myocardial adenomatoid tumour in a calf · Hypertrophic cardiomyopathy in a horse · A history of veterinary education · Review of Q fever notifications in Victoria

Jackson¹

2018

Aust Veterinary J

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Review of 20 years of human acute Q fever notifications in Victoria, 1994–2013

Cited by 17 publications

References 21 publications

Unravelling animal exposure profiles of human Q fever cases in Queensland, Australia, using natural language processing

Unravelling animal exposure profiles of human Q fever cases in Queensland, Australia, using natural language processing

Coxiella burnetii seroprevalence in primiparous and multiparous ewes from southern Australia: a cross-sectional study

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