Risk factors and predicted distribution of visceral leishmaniasis in the Xinjiang Uygur Autonomous Region, China, 2005-2015

被引:16
作者
Ding, Fangyu [1 ,2 ]
Wang, Qian [1 ,2 ]
Fu, Jingying [1 ,2 ]
Chen, Shuai [1 ,2 ]
Hao, Mengmeng [1 ,2 ]
Ma, Tian [1 ,2 ]
Zheng, Canjun [3 ]
Jiang, Dong [1 ,2 ,4 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Chinese Ctr Dis Control & Prevent China CDC, Natl Inst Viral Dis Control & Prevent, Beijing 102206, Peoples R China
[4] Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100101, Peoples R China
关键词
Visceral leishmaniasis; Spatiotemporal patterns; Environmental niche; Infection risk; PHLEBOTOMUS-PAPATASI DIPTERA; TEMPERATURE; DISEASE; BIHAR;
D O I
10.1186/s13071-019-3778-z
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Background Visceral leishmaniasis (VL) is a neglected disease that is spread to humans by the bites of infected female phlebotomine sand flies. Although this vector-borne disease has been eliminated in most parts of China, it still poses a significant public health burden in the Xinjiang Uygur Autonomous Region. Understanding of the spatial epidemiology of the disease remains vague in the local community. In the present study, we investigated the spatiotemporal distribution of VL in the region in order to assess the potential threat of the disease. Methods Based on comprehensive infection records, the spatiotemporal patterns of new cases of VL in the region between 2005 and 2015 were analysed. By combining maps of environmental and socioeconomic correlates, the boosted regression tree (BRT) model was adopted to identify the environmental niche of VL. Results The fitted BRT models were used to map potential infection risk zones of VL in the Xinjiang Uygur Autonomous Region, revealing that the predicted high infection risk zones were mainly concentrated in central and northern Kashgar Prefecture, south of Atushi City bordering Kashgar Prefecture and regions of the northern Bayingolin Mongol Autonomous Prefecture. The final result revealed that approximately 16.64 million people inhabited the predicted potential infection risk areas in the region. Conclusions Our results provide a better understanding of the potential endemic foci of VL in the Xinjiang Uygur Autonomous Region with a 1 km spatial resolution, thereby enhancing our capacity to target the potential risk areas, to develop disease control strategies and to allocate medical supplies.
引用
收藏
页数:10
相关论文
共 52 条
[11]  
Benkova I, 2007, J MED ENTOMOL, V44, P150, DOI 10.1603/0022-2585(2007)44[150:EOTOMO]2.0.CO
[12]  
2
[13]   Vector-borne parasitic diseases: new trends in data collection and risk assessment [J].
Bergquist, NR .
ACTA TROPICA, 2001, 79 (01) :13-20
[14]   Risk factors for kala-azar in Bangladesh [J].
Bern, C ;
Hightower, AW ;
Chowdhury, R ;
Ali, M ;
Amann, J ;
Wagatsuma, Y ;
Haque, R ;
Kurkjian, K ;
Vaz, LE ;
Begum, M ;
Akter, T ;
Cetre-Sossah, CB ;
Ahluwalia, IB ;
Dotson, E ;
Secor, WE ;
Breiman, RF ;
Maguire, JH .
EMERGING INFECTIOUS DISEASES, 2005, 11 (05) :655-662
[15]   The global distribution and burden of dengue [J].
Bhatt, Samir ;
Gething, Peter W. ;
Brady, Oliver J. ;
Messina, Jane P. ;
Farlow, Andrew W. ;
Moyes, Catherine L. ;
Drake, John M. ;
Brownstein, John S. ;
Hoen, Anne G. ;
Sankoh, Osman ;
Myers, Monica F. ;
George, Dylan B. ;
Jaenisch, Thomas ;
Wint, G. R. William ;
Simmons, Cameron P. ;
Scott, Thomas W. ;
Farrar, Jeremy J. ;
Hay, Simon I. .
NATURE, 2013, 496 (7446) :504-507
[16]   The poorest of the poor: a poverty appraisal of households affected by visceral leishmaniasis in Bihar, India [J].
Boelaert, M. ;
Meheus, F. ;
Sanchez, A. ;
Singh, S. P. ;
Vanlerberghe, V. ;
Picado, A. ;
Meessen, B. ;
Sundar, S. .
TROPICAL MEDICINE & INTERNATIONAL HEALTH, 2009, 14 (06) :639-644
[17]  
Center for International Earth Science Information Network, 2017, GRIDD POP WORLD VERS
[18]   Visceral leishmaniasis: What are the needs for diagnosis, treatment and control? [J].
Chappuis, Francois ;
Sundar, Shyam ;
Hailu, Asrat ;
Ghalib, Hashim ;
Rijal, Suman ;
Peeling, Rosanna W. ;
Alvar, Jorge ;
Boelaert, Marleen .
NATURE REVIEWS MICROBIOLOGY, 2007, 5 (11) :873-882
[19]   Assessing the effects of pseudo-absences on predictive distribution model performance [J].
Chefaoui, Rosa M. ;
Lobo, Jorge M. .
ECOLOGICAL MODELLING, 2008, 210 (04) :478-486
[20]  
De'ath G, 2007, ECOLOGY, V88, P243, DOI 10.1890/0012-9658(2007)88[243:BTFEMA]2.0.CO