Evidence map›Paper›PMID 25888910›Full record

ArticleParasites & vectors2015

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

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 and 1 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  12. Spatiotemporal Analysis of the Malaria Epidemic in Mainland China, 2004-2014.The American journal of tropical medicine and hygiene · 2017
    Article
  13. Article
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  15. Biology, Bionomics and Molecular Biology ofFrontiers in microbiology · 2017
    Review
  16. Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ji-Xia HuangCollege of Forestry, Beijing Forestry University, Beijing, 100083, China. uangjx@lreis.ac.cn.
Zhi-Gui XiaNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China. nipdxzhg@163.com.
Shui-Sen ZhouNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China. zss163@hotmail.com.
Xiao-Jun PuGeospatial Information Sciences in the School of Economic, Political and Policy Sciences at The University of Texas in Dallas, Richardson, USA. xxp102020@utdallas.edu.
Mao-Gui HuLREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China. humg@lreis.ac.cn.
Da-Cang HuangSchool of Geographical Science, Northeast Normal University, Changchun, 130024, China. huangdc@lreis.ac.cn.
Zhou-Peng RenLREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China. renzp@lreis.ac.cn.
Shao-Sen ZhangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China. shaosen413@163.com.
Man-Ni YangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China. yangmanni568@163.com.
Duo-Quan WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China. duoquan2006@hotmail.com.
Jin-Feng WangLREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China. wangjf@lreis.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo 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.

methodsA 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).

resultsTotally 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.

conclusionThis 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.

Indexed as

Animal DistributionAnimalsAnophelesChinaCluster AnalysisFemaleHumansInsect VectorsLongitudinal StudiesMalariaPopulation DensityPopulation SurveillanceSpatio-Temporal AnalysisTime Factors

Identifiers

PMID25888910
PMCPMC4357060

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.