99 related articles for article (PubMed ID: 23469774)
1. Identification of high-risk regions for schistosomiasis in the Guichi region of China: an adaptive kernel density estimation-based approach.
Zhang ZJ; Davies TM; Gao J; Wang Z; Jiang QW
Parasitology; 2013 Jun; 140(7):868-75. PubMed ID: 23469774
[TBL] [Abstract][Full Text] [Related]
2. Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China.
Zhang Z; Clark AB; Bivand R; Chen Y; Carpenter TE; Peng W; Zhou Y; Zhao G; Jiang Q
Trans R Soc Trop Med Hyg; 2009 Oct; 103(10):1045-52. PubMed ID: 19117584
[TBL] [Abstract][Full Text] [Related]
3. Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology.
Lemke D; Mattauch V; Heidinger O; Pebesma E; Hense HW
Int J Health Geogr; 2015 Mar; 14():15. PubMed ID: 25889018
[TBL] [Abstract][Full Text] [Related]
4. [Schistosomiasis status in People's Republic of China in 2010].
Lei ZL; Zheng H; Zhang LJ; Zhu R; Guo JG; Li SZ; Wang LY; Chen Z; Zhou XN
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2011 Dec; 23(6):599-604. PubMed ID: 22379811
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of IgG-ELISA for the diagnosis of Schistosoma japonicum in a high prevalence, low intensity endemic area of China.
Lin DD; Xu JM; Zhang YY; Liu YM; Hu F; Xu XL; Li JY; Gao ZL; Wu HW; Kurtis J; Wu GL
Acta Trop; 2008 Aug; 107(2):128-33. PubMed ID: 18589392
[TBL] [Abstract][Full Text] [Related]
6. [Mathematical modeling as an aid in understanding transmission and control of Schistosoma japonicum in hilly and mountainous regions of China].
Spear RC; Liang S
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2011 Jun; 23(3):231-6. PubMed ID: 22164479
[TBL] [Abstract][Full Text] [Related]
7. Routine Kato-Katz technique underestimates the prevalence of Schistosoma japonicum: a case study in an endemic area of the People's Republic of China.
Lin DD; Liu JX; Liu YM; Hu F; Zhang YY; Xu JM; Li JY; Ji MJ; Bergquist R; Wu GL; Wu HW
Parasitol Int; 2008 Sep; 57(3):281-6. PubMed ID: 18485807
[TBL] [Abstract][Full Text] [Related]
8. Bayesian estimation of community prevalences of Schistosoma japonicum infection in China.
Wang XH; Wu XH; Zhou XN
Int J Parasitol; 2006 Jul; 36(8):895-902. PubMed ID: 16759658
[TBL] [Abstract][Full Text] [Related]
9. A multi-level analysis of risk factors for Schistosoma japonicum infection in China.
Yang J; Zhao Z; Li Y; Krewski D; Wen SW
Int J Infect Dis; 2009 Nov; 13(6):e407-12. PubMed ID: 19398361
[TBL] [Abstract][Full Text] [Related]
10. [Surveillance and forecast system of schistosomiasis in Jiangsu Province V monitoring of infectivity of Schistosoma japonicum miracidia of Yangtze River].
Dai JR; Li HJ; Sun LP; Xing YT; Wang W; Li YZ; Gao Y; Zhang LH; Gao Y; Hong QB; Liang YS
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2011 Apr; 23(2):121-4. PubMed ID: 22164606
[TBL] [Abstract][Full Text] [Related]
11. Mathematical modelling and control of schistosomiasis in Hubei Province, China.
Chen Z; Zou L; Shen D; Zhang W; Ruan S
Acta Trop; 2010; 115(1-2):119-25. PubMed ID: 20188689
[TBL] [Abstract][Full Text] [Related]
12. The prevalence and control of schistosomiasis in Poyang Lake region, China.
Chen H; Lin D
Parasitol Int; 2004 Jun; 53(2):115-25. PubMed ID: 15081943
[TBL] [Abstract][Full Text] [Related]
13. Helminth infections and risk factor analysis among residents in Eryuan county, Yunnan province, China.
Steinmann P; Zhou XN; Li YL; Li HJ; Chen SR; Yang Z; Fan W; Jia TW; Li LH; Vounatsou P; Utzinger J
Acta Trop; 2007 Oct; 104(1):38-51. PubMed ID: 17719553
[TBL] [Abstract][Full Text] [Related]
14. Variability in intron sequences of housekeeping and antigen-coding genes among Schistosoma japonicum isolates in mainland China.
Zhao GH; Li J; Chen F; Zou FC; Yang JF; Sugiyama H; Xu MJ; Lin Q; Lin RQ; Zhu XQ
Parasitol Int; 2011 Jun; 60(2):170-4. PubMed ID: 21296680
[TBL] [Abstract][Full Text] [Related]
15. [Current status of human Schistosoma japonicum infection and reinfection in marshland and lake regions of Xinjian County, Jiangxi Province, China].
Fu RL; Zhang ZS; Peng GH; Xiong ZW; Hu WC
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2013 Apr; 25(2):205-6, 208. PubMed ID: 23894848
[TBL] [Abstract][Full Text] [Related]
16. Contrasting reservoirs for Schistosoma japonicum between marshland and hilly regions in Anhui, China--a two-year longitudinal parasitological survey.
Lu DB; Wang TP; Rudge JW; Donnelly CA; Fang GR; Webster JP
Parasitology; 2010 Jan; 137(1):99-110. PubMed ID: 19723358
[TBL] [Abstract][Full Text] [Related]
17. [Evaluation of Kato-Katz technique combined with stool hatching test in diagnosis of schistosomiasis japonica].
Xu B; Feng Z; Xu XJ; Hu W
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2011 Jun; 23(3):321-3. PubMed ID: 22164505
[TBL] [Abstract][Full Text] [Related]
18. [Numerical evaluation of new control method for schistosomiasis].
Zhao J; Ouyang T; Ding G
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Aug; 28(4):725-31. PubMed ID: 21936370
[TBL] [Abstract][Full Text] [Related]
19. A longitudinal study of comparison of the Kato-Katz technique and indirect hemagglutination assay (IHA) for the detection of schistosomiasis japonica in China, 2001-2006.
Zhou YB; Yang MX; Tao P; Jiang QL; Zhao GM; Wei JG; Jiang QW
Acta Trop; 2008 Sep; 107(3):251-4. PubMed ID: 18675244
[TBL] [Abstract][Full Text] [Related]
20. A specific PCR assay for the identification and differentiation of Schistosoma japonicum geographical isolates in mainland China based on analysis of mitochondrial genome sequences.
Zhao GH; Li J; Song HQ; Li XY; Chen F; Lin RQ; Yuan ZG; Weng YB; Hu M; Zou FC; Zhu XQ
Infect Genet Evol; 2012 Jul; 12(5):1027-36. PubMed ID: 22446475
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
