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Identifying Transmission Cycles at the Human-Animal Interface: The Role of Animal Reservoirs in Maintaining Gambiense Human African Trypanosomiasis

Overview of attention for article published in PLoS Computational Biology, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Citations

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98 Dimensions

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198 Mendeley
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1 CiteULike
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Title
Identifying Transmission Cycles at the Human-Animal Interface: The Role of Animal Reservoirs in Maintaining Gambiense Human African Trypanosomiasis
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002855
Pubmed ID
Authors

Sebastian Funk, Hiroshi Nishiura, Hans Heesterbeek, W. John Edmunds, Francesco Checchi

Abstract

Many infections can be transmitted between animals and humans. The epidemiological roles of different species can vary from important reservoirs to dead-end hosts. Here, we present a method to identify transmission cycles in different combinations of species from field data. We used this method to synthesise epidemiological and ecological data from Bipindi, Cameroon, a historical focus of gambiense Human African Trypanosomiasis (HAT, sleeping sickness), a disease that has often been considered to be maintained mainly by humans. We estimated the basic reproduction number [Formula: see text] of gambiense HAT in Bipindi and evaluated the potential for transmission in the absence of human cases. We found that under the assumption of random mixing between vectors and hosts, gambiense HAT could not be maintained in this focus without the contribution of animals. This result remains robust under extensive sensitivity analysis. When using the distributions of species among habitats to estimate the amount of mixing between those species, we found indications for an independent transmission cycle in wild animals. Stochastic simulation of the system confirmed that unless vectors moved between species very rarely, reintroduction would usually occur shortly after elimination of the infection from human populations. This suggests that elimination strategies may have to be reconsidered as targeting human cases alone would be insufficient for control, and reintroduction from animal reservoirs would remain a threat. Our approach is broadly applicable and could reveal animal reservoirs critical to the control of other infectious diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Sudan 1 <1%
Indonesia 1 <1%
Vietnam 1 <1%
Uganda 1 <1%
Senegal 1 <1%
Kenya 1 <1%
Israel 1 <1%
United States 1 <1%
Other 0 0%
Unknown 187 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 26%
Student > Ph. D. Student 44 22%
Student > Master 19 10%
Student > Bachelor 13 7%
Student > Doctoral Student 12 6%
Other 35 18%
Unknown 23 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 40%
Medicine and Dentistry 25 13%
Biochemistry, Genetics and Molecular Biology 11 6%
Mathematics 10 5%
Immunology and Microbiology 8 4%
Other 31 16%
Unknown 33 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 22 April 2020.
All research outputs
#1,824,407
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#1,591
of 8,960 outputs
Outputs of similar age
#17,007
of 292,509 outputs
Outputs of similar age from PLoS Computational Biology
#17
of 127 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 82% 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 292,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.