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Spatial distribution of Glossina sp. and Trypanosoma sp. in south-western Ethiopia

Overview of attention for article published in Parasites & Vectors, August 2015
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Title
Spatial distribution of Glossina sp. and Trypanosoma sp. in south-western Ethiopia
Published in
Parasites & Vectors, August 2015
DOI 10.1186/s13071-015-1041-9
Pubmed ID
Authors

Reta Duguma, Senbeta Tasew, Abebe Olani, Delesa Damena, Dereje Alemu, Tesfaye Mulatu, Yoseph Alemayehu, Moti Yohannes, Merga Bekana, Antje Hoppenheit, Emmanuel Abatih, Tibebu Habtewold, Vincent Delespaux, Luc Duchateau

Abstract

Accurate information on the distribution of the tsetse fly is of paramount importance to better control animal trypanosomosis. Entomological and parasitological surveys were conducted in the tsetse belt of south-western Ethiopia to describe the prevalence of trypanosomosis (PoT), the abundance of tsetse flies (AT) and to evaluate the association with potential risk factors. The study was conducted between 2009 and 2012. The parasitological survey data were analysed by a random effects logistic regression model, whereas the entomological survey data were analysed by a Poisson regression model. The percentage of animals with trypanosomosis was regressed on the tsetse fly count using a random effects logistic regression model. The following six risk factors were evaluated for PoT (i) altitude: significant and inverse correlation with trypanosomosis, (ii) annual variation of PoT: no significant difference between years, (iii) regional state: compared to Benishangul-Gumuz (18.0 %), the three remaining regional states showed significantly lower PoT, (iv) river system: the PoT differed significantly between the river systems, (iv) sex: male animals (11.0 %) were more affected than females (9.0 %), and finally (vi) age at sampling: no difference between the considered classes. Observed trypanosome species were T. congolense (76.0 %), T. vivax (18.1 %), T. b. brucei (3.6 %), and mixed T. congolense/vivax (2.4 %). The first four risk factors listed above were also evaluated for AT, and all have a significant effect on AT. In the multivariable model only altitude was retained with AT decreasing with increasing altitude. Four different Glossina species were identified i.e. G. tachinoides (52.0 %), G. pallidipes (26.0 %), G.morsitans submorsitans (15.0 %) and G. fuscipes fuscipes (7.0 %). Significant differences in catches/trap/day between districts were observed for each species. No association could be found between the tsetse fly counts and trypanosomosis prevalence. Trypanosomosis remains a constraint to livestock production in south-western Ethiopia. Four Glossina and three Trypanosoma species were observed. Altitude had a significant impact on AT and PoT. PoT is not associated with AT, which could be explained by the importance of mechanical transmission. This needs to be investigated further as it might jeopardize control strategies that target the tsetse fly population.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Italy 1 1%
Tanzania, United Republic of 1 1%
Unknown 84 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Master 18 21%
Student > Ph. D. Student 14 16%
Student > Postgraduate 6 7%
Lecturer 6 7%
Other 16 18%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 40%
Veterinary Science and Veterinary Medicine 16 18%
Biochemistry, Genetics and Molecular Biology 6 7%
Medicine and Dentistry 6 7%
Immunology and Microbiology 2 2%
Other 11 13%
Unknown 11 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 May 2016.
All research outputs
#5,837,800
of 7,719,347 outputs
Outputs from Parasites & Vectors
#1,532
of 2,135 outputs
Outputs of similar age
#157,030
of 227,750 outputs
Outputs of similar age from Parasites & Vectors
#81
of 121 outputs
Altmetric has tracked 7,719,347 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,135 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 14th percentile – i.e., 14% 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 227,750 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.