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Integrating interdisciplinary methodologies for One Health: goat farm re-implicated as the probable source of an urban Q fever outbreak, the Netherlands, 2009

Overview of attention for article published in BMC Infectious Diseases, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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2 policy sources
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2 X users

Citations

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19 Dimensions

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67 Mendeley
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Title
Integrating interdisciplinary methodologies for One Health: goat farm re-implicated as the probable source of an urban Q fever outbreak, the Netherlands, 2009
Published in
BMC Infectious Diseases, September 2015
DOI 10.1186/s12879-015-1083-9
Pubmed ID
Authors

Georgia A. F. Ladbury, Jeroen P.G. Van Leuken, Arno Swart, Piet Vellema, Barbara Schimmer, Ronald Ter Schegget, Wim Van der Hoek

Abstract

In spring 2008, a goat farm experiencing Q fever abortions ("Farm A") was identified as the probable source of a human Q fever outbreak in a Dutch town. In 2009, a larger outbreak with 347 cases occurred in the town, despite no clinical Q fever being reported from any local farm. Our study aimed to identify the source of the 2009 outbreak by applying a combination of interdisciplinary methods, using data from several sources and sectors, to investigate seventeen farms in the area: namely, descriptive epidemiology of notified cases; collation of veterinary data regarding the seventeen farms; spatial attack rate and relative risk analyses; and GIS mapping of farms and smooth incidence of cases. We conducted further spatio-temporal analyses that integrated temporal data regarding date of onset with spatial data from an atmospheric dispersion model with the most highly suspected source at the centre. Our analyses indicated that Farm A was again the most likely source of infection, with persons living within 1 km of the farm at a 46 times larger risk of being a case compared to those living within 5-10 km. The spatio-temporal analyses demonstrated that about 60 - 65 % of the cases could be explained by aerosol transmission from Farm A assuming emission from week 9; these explained cases lived significantly closer to the farm than the unexplained cases (p = 0.004). A visit to Farm A revealed that there had been no particular changes in management during the spring/summer of 2009, nor any animal health problems around the time of parturition or at any other time during the year. We conclude that the probable source of the 2009 outbreak was the same farm implicated in 2008, despite animal health indicators being absent. Veterinary and public health professionals should consider farms with past as well as current history of Q fever as potential sources of human outbreaks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Portugal 1 1%
Switzerland 1 1%
Brazil 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Ph. D. Student 7 10%
Student > Master 7 10%
Other 4 6%
Lecturer 3 4%
Other 13 19%
Unknown 19 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 19%
Veterinary Science and Veterinary Medicine 10 15%
Medicine and Dentistry 8 12%
Environmental Science 3 4%
Nursing and Health Professions 3 4%
Other 11 16%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2021.
All research outputs
#4,444,854
of 22,780,165 outputs
Outputs from BMC Infectious Diseases
#1,424
of 7,670 outputs
Outputs of similar age
#57,232
of 266,874 outputs
Outputs of similar age from BMC Infectious Diseases
#42
of 154 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,670 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.