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Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China

Overview of attention for article published in Parasites & Vectors, March 2015
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Title
Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
Published in
Parasites & Vectors, March 2015
DOI 10.1186/s13071-015-0741-5
Pubmed ID
Authors

Ji-Xia Huang, Zhi-Gui Xia, Shui-Sen Zhou, Xiao-Jun Pu, Mao-Gui Hu, Da-Cang Huang, Zhou-Peng Ren, Shao-Sen Zhang, Man-ni Yang, Duo-Quan Wang, Jin-Feng Wang

Abstract

To reveal the spatio-temporal distribution of malaria vectors in the national malaria surveillance sites from 2005 to 2010 and provide reference for the current National Malaria Elimination Programme (NMEP) in China. A 6-year longitudinal surveillance on density of malaria vectors was carried out in the 62 national malaria surveillance sites. The spatial and temporal analyses of the four primary vectors distribution were conducted by the methods of kernel k-means and the cluster distribution of the most widely distribution vector of An.sinensis was identified using the empirical mode decomposition (EMD). Totally 4 species of Anopheles mosquitoes including An.sinensis, An.lesteri, An.dirus and An.minimus were captured with significant difference of distribution as well as density. An. sinensis was the most widely distributed, accounting for 96.25% of all collections, and its distribution was divided into three different clusters with a significant increase of density observed in the second cluster which located mostly in the central parts of China. This study first described the spatio-temporal distribution of malaria vectors based on the nationwide surveillance during 2005-2010, which served as a baseline for the ongoing national malaria elimination program.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 29%
Student > Ph. D. Student 6 14%
Researcher 4 10%
Student > Bachelor 4 10%
Other 3 7%
Other 10 24%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Agricultural and Biological Sciences 5 12%
Computer Science 3 7%
Mathematics 3 7%
Nursing and Health Professions 2 5%
Other 10 24%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 January 2016.
All research outputs
#20,299,108
of 22,836,570 outputs
Outputs from Parasites & Vectors
#4,848
of 5,467 outputs
Outputs of similar age
#218,399
of 258,820 outputs
Outputs of similar age from Parasites & Vectors
#88
of 117 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,467 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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