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

BACKGROUND: 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. METHODS: A 6-year longitudinal surveillance on density of malaria vecto...

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Autores principales: Huang, Ji-Xia, Xia, Zhi-Gui, Zhou, Shui-Sen, Pu, Xiao-Jun, Hu, Mao-Gui, Huang, Da-Cang, Ren, Zhou-Peng, Zhang, Shao-Sen, Yang, Man-ni, Wang, Duo-Quan, Wang, Jin-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357060/
https://www.ncbi.nlm.nih.gov/pubmed/25888910
http://dx.doi.org/10.1186/s13071-015-0741-5
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author Huang, Ji-Xia
Xia, Zhi-Gui
Zhou, Shui-Sen
Pu, Xiao-Jun
Hu, Mao-Gui
Huang, Da-Cang
Ren, Zhou-Peng
Zhang, Shao-Sen
Yang, Man-ni
Wang, Duo-Quan
Wang, Jin-Feng
author_facet Huang, Ji-Xia
Xia, Zhi-Gui
Zhou, Shui-Sen
Pu, Xiao-Jun
Hu, Mao-Gui
Huang, Da-Cang
Ren, Zhou-Peng
Zhang, Shao-Sen
Yang, Man-ni
Wang, Duo-Quan
Wang, Jin-Feng
author_sort Huang, Ji-Xia
collection PubMed
description BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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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spelling pubmed-43570602015-03-13 Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China Huang, Ji-Xia Xia, Zhi-Gui Zhou, Shui-Sen Pu, Xiao-Jun Hu, Mao-Gui Huang, Da-Cang Ren, Zhou-Peng Zhang, Shao-Sen Yang, Man-ni Wang, Duo-Quan Wang, Jin-Feng Parasit Vectors Research BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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. BioMed Central 2015-03-07 /pmc/articles/PMC4357060/ /pubmed/25888910 http://dx.doi.org/10.1186/s13071-015-0741-5 Text en © Huang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Huang, Ji-Xia
Xia, Zhi-Gui
Zhou, Shui-Sen
Pu, Xiao-Jun
Hu, Mao-Gui
Huang, Da-Cang
Ren, Zhou-Peng
Zhang, Shao-Sen
Yang, Man-ni
Wang, Duo-Quan
Wang, Jin-Feng
Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
title Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
title_full Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
title_fullStr Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
title_full_unstemmed Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
title_short Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China
title_sort spatio-temporal analysis of malaria vectors in national malaria surveillance sites in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357060/
https://www.ncbi.nlm.nih.gov/pubmed/25888910
http://dx.doi.org/10.1186/s13071-015-0741-5
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