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Predicting the geographical distributions of the macaque hosts and mosquito vectors of Plasmodium knowlesi malaria in forested and non-forested areas

Overview of attention for article published in Parasites & Vectors, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 5,813)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
40 news outlets
blogs
2 blogs
policy
1 policy source
twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
217 Mendeley
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Title
Predicting the geographical distributions of the macaque hosts and mosquito vectors of Plasmodium knowlesi malaria in forested and non-forested areas
Published in
Parasites & Vectors, April 2016
DOI 10.1186/s13071-016-1527-0
Pubmed ID
Authors

Catherine L. Moyes, Freya M. Shearer, Zhi Huang, Antoinette Wiebe, Harry S. Gibson, Vincent Nijman, Jayasilan Mohd-Azlan, Jedediah F. Brodie, Suchinda Malaivijitnond, Matthew Linkie, Hiromitsu Samejima, Timothy G. O’Brien, Colin R. Trainor, Yuzuru Hamada, Anthony J. Giordano, Margaret F. Kinnaird, Iqbal R. F. Elyazar, Marianne E. Sinka, Indra Vythilingam, Michael J. Bangs, David M. Pigott, Daniel J. Weiss, Nick Golding, Simon I. Hay

Abstract

Plasmodium knowlesi is a zoonotic pathogen, transmitted among macaques and to humans by anopheline mosquitoes. Information on P. knowlesi malaria is lacking in most regions so the first step to understand the geographical distribution of disease risk is to define the distributions of the reservoir and vector species. We used macaque and mosquito species presence data, background data that captured sampling bias in the presence data, a boosted regression tree model and environmental datasets, including annual data for land classes, to predict the distributions of each vector and host species. We then compared the predicted distribution of each species with cover of each land class. Fine-scale distribution maps were generated for three macaque host species (Macaca fascicularis, M. nemestrina and M. leonina) and two mosquito vector complexes (the Dirus Complex and the Leucosphyrus Complex). The Leucosphyrus Complex was predicted to occur in areas with disturbed, but not intact, forest cover (> 60 % tree cover) whereas the Dirus Complex was predicted to occur in areas with 10-100 % tree cover as well as vegetation mosaics and cropland. Of the macaque species, M. nemestrina was mainly predicted to occur in forested areas whereas M. fascicularis was predicted to occur in vegetation mosaics, cropland, wetland and urban areas in addition to forested areas. The predicted M. fascicularis distribution encompassed a wide range of habitats where humans are found. This is of most significance in the northern part of its range where members of the Dirus Complex are the main P. knowlesi vectors because these mosquitoes were also predicted to occur in a wider range of habitats. Our results support the hypothesis that conversion of intact forest into disturbed forest (for example plantations or timber concessions), or the creation of vegetation mosaics, will increase the probability that members of the Leucosphyrus Complex occur at these locations, as well as bringing humans into these areas. An explicit analysis of disease risk itself using infection data is required to explore this further. The species distributions generated here can now be included in future analyses of P. knowlesi infection risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Kenya 1 <1%
Unknown 215 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 18%
Student > Ph. D. Student 34 16%
Student > Master 34 16%
Student > Bachelor 27 12%
Other 10 5%
Other 34 16%
Unknown 39 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 27%
Medicine and Dentistry 37 17%
Environmental Science 16 7%
Biochemistry, Genetics and Molecular Biology 13 6%
Veterinary Science and Veterinary Medicine 8 4%
Other 36 17%
Unknown 49 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 332. 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 17 July 2021.
All research outputs
#95,617
of 24,717,692 outputs
Outputs from Parasites & Vectors
#7
of 5,813 outputs
Outputs of similar age
#1,882
of 304,482 outputs
Outputs of similar age from Parasites & Vectors
#1
of 180 outputs
Altmetric has tracked 24,717,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,813 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% 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 304,482 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 99% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.