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The relationship of malaria between Chinese side and Myanmar’s five special regions along China–Myanmar border: a linear regression analysis

Overview of attention for article published in Malaria Journal, July 2016
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Title
The relationship of malaria between Chinese side and Myanmar’s five special regions along China–Myanmar border: a linear regression analysis
Published in
Malaria Journal, July 2016
DOI 10.1186/s12936-016-1413-4
Pubmed ID
Authors

Jian-Wei Xu, Hui Liu

Abstract

Understanding malaria along the international border of two countries is important for malaria control and elimination; however, it is difficult to investigate a quantitative relationship between two countries' border areas due to a shortage of malaria surveillance data. A linear regression analysis was conducted to investigate the logarithmic annual parasite incidence (API), numbers of imported cases and local infections in 19 Chinese border counties, with logarithmic API and parasitic prevalence in Myanmar's five special regions. API in 19 Chinese counties was stronger correlated with parasite prevalence than with API in five special regions of Myanmar, correlation coefficient (R) 0.8322 (95 % CI 0.0636-0.9084) versus 0.9914 (95 % CI 0.9204-0.9914). Numbers of imported malaria cases and local malaria infections in 19 Chinese counties were also closer correlated with parasite prevalence than with API in five special regions of Myanmar. There is a strong correlation of malaria between China's side and Myanmar's side along the international border. Parasite prevalence is a better indicator of the true malaria situation in a setting without sound surveillance and reporting system. China should reconsider its definition of imported malaria which neglects imported malaria by mosquitoes and asymptomatic parasite carriers.

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The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Bachelor 8 20%
Student > Master 6 15%
Lecturer > Senior Lecturer 2 5%
Lecturer 2 5%
Other 6 15%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Social Sciences 4 10%
Immunology and Microbiology 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Other 9 22%
Unknown 11 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 August 2016.
All research outputs
#13,112,375
of 22,881,154 outputs
Outputs from Malaria Journal
#3,283
of 5,579 outputs
Outputs of similar age
#190,009
of 363,150 outputs
Outputs of similar age from Malaria Journal
#61
of 137 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,579 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 41st percentile – i.e., 41% 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 363,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 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 55% of its contemporaries.