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Q fever is an old and neglected zoonotic disease in Kenya: a systematic review

Overview of attention for article published in BMC Public Health, April 2016
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1 policy source
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193 Mendeley
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Title
Q fever is an old and neglected zoonotic disease in Kenya: a systematic review
Published in
BMC Public Health, April 2016
DOI 10.1186/s12889-016-2929-9
Pubmed ID
Authors

J. Njeru, K. Henning, M. W. Pletz, R. Heller, H. Neubauer

Abstract

Q fever is a neglected zoonosis caused by the bacterium Coxiella burnetii. The knowledge of the epidemiology of Q fever in Kenya is limited with no attention to control and prevention programs. The purpose of this review is to understand the situation of Q fever in human and animal populations in Kenya in the past 60 years, and help identify future research priorities for the country. Databases were searched for national and international scientific studies or reports on Q fever. We included studies and reports published between 1950 and 2015 if they reported on Q fever prevalence, incidence, and infection control programs in Kenya. Data were extracted with respect to studies on prevalence of Coxiella infections, study design, study region, the study populations involved, and sorted according to the year of the study. We identified 15 studies and reports which qualified for data extraction. Human seroprevalence studies revealed evidence of C. burnetii infections ranging from 3 to 35.8 % in all regions in which surveys were made and two Q fever outbreak episodes. Coxiella burnetii infections found in cattle 7.4-51.1 %, sheep 6.7-20 %, camels 20-46 %, and goats 20-46 % revealed variation based on ecoregions and the year of study. Farming and lack of protective clothing were associated with increased seropositivity among humans. However, high quality data is lacking on Q fever awareness, underlying cultural-economic factors influencing C. burnetii infection, and how the pathogen cycles may be embedded in livestock production and management systems in the economically and ecologically different Kenyan regions. We found no studies on national disease incidence estimates or disease surveillance and control efforts. Coxiella burnetii infections are common in human and in a wide range of animal populations but are still unrecognized and underestimated thus presenting a significant human and animal health threat in Kenya. The factors influencing pathogen transmission, persistence and spread are poorly understood. Integrated disease surveillance and prevention/control programs are needed in Kenya.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Kenya 1 <1%
Unknown 191 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 26%
Researcher 30 16%
Student > Ph. D. Student 16 8%
Student > Postgraduate 10 5%
Student > Doctoral Student 10 5%
Other 33 17%
Unknown 44 23%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 39 20%
Agricultural and Biological Sciences 28 15%
Medicine and Dentistry 20 10%
Biochemistry, Genetics and Molecular Biology 14 7%
Social Sciences 8 4%
Other 30 16%
Unknown 54 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2018.
All research outputs
#7,678,338
of 23,885,338 outputs
Outputs from BMC Public Health
#8,064
of 15,695 outputs
Outputs of similar age
#105,544
of 304,291 outputs
Outputs of similar age from BMC Public Health
#103
of 192 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 15,695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 304,291 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.