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

Particle and Fibre Toxicology

Jin-Feng Wang³  Duo-Quan Wang⁵  Man-ni Yang⁵  Shao-Sen Zhang⁵  Zhou-Peng Ren³  Da-Cang Huang²  Mao-Gui Hu³  Xiao-Jun Pu⁴  Shui-Sen Zhou⁵  Zhi-Gui Xia⁵  Ji-Xia Huang¹ 

[1] LREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China;School of Geographical Science, Northeast Normal University, Changchun 130024, China;Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Geospatial Information Sciences in the School of Economic, Political and Policy Sciences at The University of Texas in Dallas, Richardson, USA;National 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

关键词: Surveillance sites;    Cluster;    Spatio-temporal distribution;    Malaria vectors;   

Others  :  1146667
DOI  :  10.1186/s13071-015-0741-5

 received in 2014-09-11, accepted in 2015-02-13,  发布年份 2015

【 摘 要 】

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.

【 授权许可】

   
2015 Huang et al.; licensee BioMed Central.

【 图 表 】

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【 参考文献 】

• [1]Ministry of Health. Malaria surveillance project in China. 2005.
• [2]Lu B. The present status of mosquito-borne diseases in China. Program and Abstracts of 4th Intern Meeting of Tropical Medicine and parasitology. 1998;18-20.
• [3]Guo C. Advance in the research of Anopheles anthropophagus in China. China Tropical Med. 2005; 5(2):396-9.
• [4]Qu F. Research of mosquitoes during recent fifty years in China. Chinese J Parasitological Parasitic Dis. 1999; 17(5):264-6.
• [5]Hay SI, Guerra CA, Tatem AJ, Noor AM, Snow RW. The global distribution and population at risk of malaria:past, present, and future. Lancet Infect Dis. 2004; 4(6):327-36.
• [6]Greenwood BM, Fidock DA, Kyle DE, Kappe SH, Alonso PL, Collins FH et al.. Malaria: progress, perils, and prospects for eradication. J Clin Invest. 2008; 118(4):1266-76.
• [7]Zhou G, Minakawa N, Githeko A, Yan G. Spatial distribution patterns of malaria vectors and sample size determination in spatially heterogeneous environments: a case study in the west Kenyan highland. J Med Entomol. 2004; 41(6):1001-9.
• [8]Wang DQ, Tang LH, Liu HH, Gu ZC, Zheng X. Application of Structural Equation Models for Elucidating the Ecological Drivers of Anopheles sinensis in the Three Gorges Reservoir. PLoS One. 2013; 8(7):e68766. doi:10. 1371/journal.pone. 0068766
• [9]Wang DQ, Tang LH, Gu ZC, Zheng X, Jiang WK. Malaria transmission potential in the three gorges reservoir of the Yangtze River, China. Biomed Environ Sci. 2013; 26(1):54-62.
• [10]Hu MG, Jia L, Wang JF, Pan YP. Spatial and temporal characteristics of particulate matter in Beijing, China using the empirical model decomposition method. Sci Total Environ. 2013; 458–460:70-80.
• [11]Dhillon I, Guan Y, Kulis B. A unified view of kernel k-means, spectral clustering and graph partitioning. UTCS Technical Report. 2004.
• [12]Caliński T, Harabasz J. A dendrite method for cluster analysis. Commun Stat. 1974; 3:1-27.
• [13]Karatzoglou A, Smola A, Hornik K, Zeileis A. kernlab - an S4 package for kernel methods in R. J Stat Softw. 2004; 11:1-20.
• [14]R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria; 2012.
• [15]Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q et al.. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R SocLond A. 1998; 454:903-95.
• [16]Huang NE, Wu MC, Long SR, Shen SSP, Qu W, Gloersen P et al.. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis. Proc R SocLond A. 2003; 459:2317-45.
• [17]Klionski DM, Oreshko NI, Geppener VV, Vasiljev AV. Applications of empirical mode de-composition for processing nonstationary signals. Pattern Recognition Image Anal. 2004; 18:390-9.
• [18]Wu Z, Huang NE. A study of the characteristics of white noise using the empirical modedecomposition method. Proc R SocLond A. 2004; 460:1597-611.
• [19]Rilling G, Flandrin P, Goncalves P. On empirical mode decomposition and its algorithms. Proceedings of IEEE-EURASIP workshop on nonlinear signal and image processing; 2003.
• [20]Chow CY. Malaria vector in China. Chin J Entomol. 1991; Special Publ(6):67-79.
• [21]Handbook for malaria control and prevention. People’s Hygiene Publishing House Press, Beijing; 2007.
• [22]Sinka EM, Bangs JM, Manguin S, Chareonviriyaphap T, Patil PA, Temperley HW et al.. The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis. Parasi Vectors. 2011; 4:89. BioMed Central Full Text
• [23]Tang LH, Qian HL, Xu SH. Malaria and its control in the People’s Republic of China. Southeast Asian J Trop Med Public Health. 1991; 22:467-76.
• [24]Rueda LM, Ma Y, Song GH, Gao Q. Notes on the distribution of Anopheles (Anopheles) sinensis Wiedemann (Diptera: Culicidae) in China and the status of some Anopheleshyrcanus group type specimens from China. Proc Entomol Soc Wash. 2005; 107:235-8.
• [25]Sleigh AC, Liu XL, Jackson S, Li P, Shang LY. Resurgence of vivax malaria in Henan Province. China Bull World Health Organ. 1998; 76:265-70.
• [26]Xu JJ, Feng LC. Studies on the Anopheles hyrcanus group of mosquitoes in China [in Chinese]. Acta Entomol Sinica. 1975; 18:77-98. 76 pls
• [27]Ma SF. Studies on the Anopheles (A.) sinensis group of mosquitoes in China, including four new sibling species [in Chinese]. Sinozoologia. 1981; 1:59-70. 54 pls
• [28]Ho C, Chou TC, Ch’En TH, Hsueh AT. The Anopheles hyrcanus group and its relation to malaria in east China. Chin Med J. 1962; 81:71-8.
• [29]Liu C. Comparative studies on the role of Anopheles anthropophagus and Anopheles sinensis in malaria transmission in China [in Chinese]. Zhonghua Liu Xing Bing Xue Za Zhi. 1990; 11:360-3.
• [30]Ho C, Feng LC. Studies on malaria in new China. Chin Med J. 1958; 77:533-51.
• [31]Dong XS. The malaria vectors and their ecology in Yunnan Province. Chinese J Parasitic Dis Control. 2000; 13(2):144-7.
• [32]Wang XZ, Du ZW, Lu YY, Zhu GJ, Huang R, Gu Y et al.. Bionomics of An. minimus and its role in malaria transmission in south parts of Yunnan. Chinese J Vector Biology Control. 1999; 10(5):343-6.
• [33]Lu BL. Fauna Sinica, Insecta, Vol. 9, Diptera. CulicidaeI I. Science Press, Beijing; 1997.
• [34]Shi W, Zhou X, Zhang Y, Zhou X, Hu L, Wang X et al.. Investigation on malaria vectors in western part of China-Myanmar border. Chin J Parasitol Parasit Dis. 2011; 9(2):134-7.
• [35]Sweet WC, Feng LC, Chow CY, Hsu SC. Anophelines of Southwestern Yunnan and their relation to malaria. J Natl Mal Soc. 1942; 1:25-32.
• [36]Colless DH. Further notes on the systematic of the Anopheles leucosphyrus group. Proc Roy Ent Soc London. 1957; 26:131-9.
• [37]PA Medical entomology studies XII. Contrib Am Ent Inst. 1980; 17:195.
• [38]Xiao X, Boles S, Liu J, Zhuang D, Frolking S, Lia C et al.. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sens Environ. 2005; 95(4):480-92.
• [39]Pan JY, Zhou SS, Zheng X, Huang F, Wang DQ, Shen YZ et al.. Vector capacity of An. sinensisin malaria outbreak areas of central China. Parasit Vectors. 2012; 5:136. BioMed Central Full Text