2022
DOI: 10.1111/zph.12923
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Identifying scenarios and risk factors for Q fever outbreaks using qualitative analysis of expert opinion

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 6 publications
(5 citation statements)
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“…An infected intensive dairy goat farm raising thousands of animals resulted in less than two dozen human cases over the course of two years [ 45 ] whereas a single lambing ewe was responsible for hundreds of human cases in less than two months [ 47 ]. The variable epidemic patterns of outbreaks reported in this review emphasizes that Q fever epidemiology is the product of multiple factors that influence the dynamic interactions between hosts, animal reservoirs and the environment [ 5 , 77 , 83 , 84 ]. Several factors such as human density, patterns of land use, human behaviour, host immunity, timing of parturition and meteorological conditions have been found in this review and other studies to contribute to largescale outbreaks and should be considered in addition to other putative risk factors [ 5 , 77 , 83 , 84 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…An infected intensive dairy goat farm raising thousands of animals resulted in less than two dozen human cases over the course of two years [ 45 ] whereas a single lambing ewe was responsible for hundreds of human cases in less than two months [ 47 ]. The variable epidemic patterns of outbreaks reported in this review emphasizes that Q fever epidemiology is the product of multiple factors that influence the dynamic interactions between hosts, animal reservoirs and the environment [ 5 , 77 , 83 , 84 ]. Several factors such as human density, patterns of land use, human behaviour, host immunity, timing of parturition and meteorological conditions have been found in this review and other studies to contribute to largescale outbreaks and should be considered in addition to other putative risk factors [ 5 , 77 , 83 , 84 ].…”
Section: Discussionmentioning
confidence: 99%
“…The variable epidemic patterns of outbreaks reported in this review emphasizes that Q fever epidemiology is the product of multiple factors that influence the dynamic interactions between hosts, animal reservoirs and the environment [ 5 , 77 , 83 , 84 ]. Several factors such as human density, patterns of land use, human behaviour, host immunity, timing of parturition and meteorological conditions have been found in this review and other studies to contribute to largescale outbreaks and should be considered in addition to other putative risk factors [ 5 , 77 , 83 , 84 ]. However, the unpredictable nature of many of these factors, along with the likely contribution of seldom studied epidemiological parameters, such as duration of infectivity in the environment or efficiency of non-ruminant hosts to transmit infection, is likely to confound our understanding of Q fever outbreaks.…”
Section: Discussionmentioning
confidence: 99%
“…As an additional note, some abattoir workers refused antibiotic prophylaxis. As it was emphasized by Tan et al (2022), vaccination is considered the ‘highest order’ of effective prevention at reducing the incidence of disease and outbreaks, particularly in abattoirs where workers are routinely immunized, in compliance with occupational health and safety regulations (Tan et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…The recent outbreak of infections occurring beyond the traditional high-risk workplaces within the community has broadened the perspective of Q fever. It's no longer viewed solely as an industry-related ailment but recognized as a broader public health concern (Tan et al 2022). The concept of One Health serves as a worldwide strategy, fostering collaborative efforts across human Health, animal health, and environmental sectors.…”
Section: Bridging Of Q-fever and One Healthmentioning
confidence: 99%