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Non-invasive surveillance for Plasmodium in reservoir macaque species

Overview of attention for article published in Malaria Journal, October 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Non-invasive surveillance for Plasmodium in reservoir macaque species
Published in
Malaria Journal, October 2015
DOI 10.1186/s12936-015-0857-2
Pubmed ID
Authors

Josephine E. Siregar, Christina L. Faust, Lydia S. Murdiyarso, Lis Rosmanah, Uus Saepuloh, Andrew P. Dobson, Diah Iskandriati

Abstract

Primates are important reservoirs for human diseases, but their infection status and disease dynamics are difficult to track in the wild. Within the last decade, a macaque malaria, Plasmodium knowlesi, has caused disease in hundreds of humans in Southeast Asia. In order to track cases and understand zoonotic risk, it is imperative to be able to quantify infection status in reservoir macaque species. In this study, protocols for the collection of non-invasive samples and isolation of malaria parasites from naturally infected macaques are optimized. Paired faecal and blood samples from 60 Macaca fascicularis and four Macaca nemestrina were collected. All animals came from Sumatra or Java and were housed in semi-captive breeding colonies around West Java. DNA was extracted from samples using a modified protocol. Nested polymerase chain reactions (PCR) were run to detect Plasmodium using primers targeting mitochondrial DNA. Sensitivity of screening faecal samples for Plasmodium was compared to other studies using Kruskal Wallis tests and logistic regression models. The best primer set was 96.7 % (95 % confidence intervals (CI): 83.3-99.4 %) sensitive for detecting Plasmodium  in faecal samples of naturally infected macaques (n = 30). This is the first study to produce definitive estimates of Plasmodium sensitivity and specificity in faecal samples from naturally infected hosts. The sensitivity was significantly higher than some other studies involving wild primates. Faecal samples can be used for detection of malaria infection in field surveys of macaques, even when there are no parasites visible in thin blood smears. Repeating samples from individuals will improve inferences of the epidemiology of malaria in wild primates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 20%
Student > Ph. D. Student 15 15%
Student > Bachelor 14 14%
Student > Master 12 12%
Other 5 5%
Other 10 10%
Unknown 22 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 23%
Medicine and Dentistry 16 16%
Biochemistry, Genetics and Molecular Biology 9 9%
Immunology and Microbiology 5 5%
Veterinary Science and Veterinary Medicine 5 5%
Other 13 13%
Unknown 27 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 15 October 2015.
All research outputs
#7,412,837
of 24,580,204 outputs
Outputs from Malaria Journal
#2,017
of 5,786 outputs
Outputs of similar age
#85,236
of 284,355 outputs
Outputs of similar age from Malaria Journal
#45
of 142 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 64% 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 284,355 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 69% of its contemporaries.
We're also able to compare this research output to 142 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 69% of its contemporaries.