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Microgeography and molecular epidemiology of malaria at the Thailand-Myanmar border in the malaria pre-elimination phase

Overview of attention for article published in Malaria Journal, May 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
facebook
4 Facebook pages

Citations

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49 Dimensions

Readers on

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95 Mendeley
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Title
Microgeography and molecular epidemiology of malaria at the Thailand-Myanmar border in the malaria pre-elimination phase
Published in
Malaria Journal, May 2015
DOI 10.1186/s12936-015-0712-5
Pubmed ID
Authors

Daniel M. Parker, Stephen A. Matthews, Guiyun Yan, Guofa Zhou, Ming-Chieh Lee, Jeeraphat Sirichaisinthop, Kirakorn Kiattibutr, Qi Fan, Peipei Li, Jetsumon Sattabongkot, Liwang Cui

Abstract

Endemic malaria in Thailand continues to only exist along international borders. This pattern is frequently attributed to importation of malaria from surrounding nations. A microgeographical approach was used to investigate malaria cases in a study village along the Thailand-Myanmar border. Three mass blood surveys were conducted during the study period (July and December 2011, and May 2012) and were matched to a cohort-based demographic surveillance system. Blood slides and filter papers were taken from each participant. Slides were cross-verified by an expert microscopist and filter papers were analysed using nested PCR. Cases were then mapped to households and analysed using spatial statistics. A risk factor analysis was done using mixed effects logistic regression. In total, 55 Plasmodium vivax and 20 Plasmodium falciparum cases (out of 547 participants) were detected through PCR, compared to six and two (respectively) cases detected by field microscopy. The single largest risk factor for infection was citizenship. Many study participants were ethnic Karen people with no citizenship in either Thailand or Myanmar. This subpopulation had over eight times the odds of malaria infection when compared to Thai citizens. Cases also appeared to cluster near a major drainage system and year-round water source within the study village. This research indicates that many cases of malaria remain undiagnosed in the region. The spatial and demographic clustering of cases in a sub-group of the population indicates either transmission within the Thai village or shared exposure to malaria vectors outside of the village. While it is possible that malaria is imported to Thailand from Myanmar, the existence of undetected infections, coupled with an ecological setting that is conducive to malaria transmission, means that indigenous transmission could also occur on the Thai side of the border. Improved, timely, and active case detection is warranted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Thailand 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Master 16 17%
Student > Ph. D. Student 10 11%
Student > Bachelor 7 7%
Student > Doctoral Student 4 4%
Other 19 20%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 22 23%
Agricultural and Biological Sciences 11 12%
Nursing and Health Professions 7 7%
Social Sciences 7 7%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 21 22%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 10 February 2020.
All research outputs
#2,207,581
of 24,810,360 outputs
Outputs from Malaria Journal
#419
of 5,812 outputs
Outputs of similar age
#27,804
of 269,678 outputs
Outputs of similar age from Malaria Journal
#13
of 117 outputs
Altmetric has tracked 24,810,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,812 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 done particularly well, scoring higher than 92% 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 269,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.