Literature DB >> 33644150

Concept of an Active Surveillance System for Q Fever in German Small Ruminants-Conflicts Between Best Practices and Feasibility.

Fenja Winter1, Clara Schoneberg1, Annika Wolf2, Benjamin U Bauer2, T Louise Prüfer3, Silke F Fischer4, Ursula Gerdes5, Martin Runge3, Martin Ganter2, Amely Campe1.   

Abstract

Q fever is a zoonotic disease caused by the bacterium Coxiella burnetii. Inhalation of contaminated dust particles or aerosols originating from animals (esp. small ruminants) is the main source of human infection. Hence, an active early warning system for Q fever in German small ruminant livestock was conceptualized to prevent human infections. First, we describe the best practice for establishing this system before evaluating its feasibility, as the combination of both evokes conflicts. Vaginal swabs from all husbandry systems with a focus on reproductive females should pooled and investigated by PCR to detect C. burnetii-shedding animals. Multistage risk-based sampling shall be carried out at the flock level and within-flock level. At the flock level, all flocks that are at risk to transmit the pathogen to the public must be sampled. At the within-flock level, all primi- and multiparous females after lambing must be tested in order to increase the probability of identifying a positive herd. Sampling should be performed during the main lambing period and before migration in residential areas. Furthermore, individual animals should be tested before migration or exhibition to ensure a negative status. If a flock tests positive in at least one individual sample, then flock-specific preventive measures should be implemented. This approach implies huge financial costs (sample testing, action/control measures). Hence, taking the step to develop more feasible and affordable preventive measures, e.g., vaccinating small ruminant flocks, should replace testing wherever justifiable.
Copyright © 2021 Winter, Schoneberg, Wolf, Bauer, Prüfer, Fischer, Gerdes, Runge, Ganter and Campe.

Entities:  

Keywords:  Coxiella burnetii; early warning; one health; small ruminants; surveillance system

Year:  2021        PMID: 33644150      PMCID: PMC7902497          DOI: 10.3389/fvets.2021.623786

Source DB:  PubMed          Journal:  Front Vet Sci        ISSN: 2297-1769


  37 in total

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-07-29       Impact factor: 6.237

Review 2.  Proposed terms and concepts for describing and evaluating animal-health surveillance systems.

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3.  Investigations concerning the prevalence of Coxiella burnetii and Chlamydia abortus in sheep in correlation with management systems and abortion rate in Lower Saxony in 2004.

Authors:  Martin Runge; Alfred Binder; Ulrich Schotte; Martin Ganter
Journal:  Berl Munch Tierarztl Wochenschr       Date:  2012 Mar-Apr       Impact factor: 0.328

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Journal:  Euro Surveill       Date:  2013-02-21

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Authors:  Nathalie Arricau Bouvery; Armel Souriau; Patrick Lechopier; Annie Rodolakis
Journal:  Vet Res       Date:  2003 Jul-Aug       Impact factor: 3.683

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Authors:  Zoran Debeljak; Snezana Medić; Marija Baralić; Aleksandra Andrić; Aleksandar Tomić; Dejan Vidanović; Milanko Šekler; Kazimir Matović; Nikola Vasković
Journal:  J Infect Dev Ctries       Date:  2018-05-31       Impact factor: 0.968

7.  Airborne geographical dispersal of Q fever from livestock holdings to human communities: a systematic review and critical appraisal of evidence.

Authors:  Nicholas J Clark; Ricardo J Soares Magalhães
Journal:  BMC Infect Dis       Date:  2018-05-15       Impact factor: 3.090

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Authors:  Sophia Körner; Gustavo R Makert; Katja Mertens-Scholz; Klaus Henning; Martin Pfeffer; Alexander Starke; Ard M Nijhof; Sebastian Ulbert
Journal:  Parasit Vectors       Date:  2020-02-14       Impact factor: 3.876

9.  Q fever in pregnant goats: pathogenesis and excretion of Coxiella burnetii.

Authors:  Hendrik-Jan Roest; Betty van Gelderen; Annemieke Dinkla; Dimitrios Frangoulidis; Fred van Zijderveld; Johanna Rebel; Lucien van Keulen
Journal:  PLoS One       Date:  2012-11-09       Impact factor: 3.240

10.  Estimating the incubation period of acute Q fever, a systematic review.

Authors:  D Todkill; T Fowler; J I Hawker
Journal:  Epidemiol Infect       Date:  2018-03-21       Impact factor: 4.434

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  1 in total

1.  Q fever expertise among human and veterinary health professionals in Germany - A stakeholder analysis of knowledge gaps.

Authors:  Fenja Winter; Amely Campe
Journal:  PLoS One       Date:  2022-03-03       Impact factor: 3.240

  1 in total

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