Tang LinHua
Chinese Center for Disease Control and Prevention
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Malaria Journal | 2009
Wang Duo-quan; Tang LinHua; Gu Zhen-cheng; Zheng Xiang; Yang Man-ni
BackgroundChina Yangtze Three Gorges Project (TGP) is one of the biggest construction projects in the world. The areas around the Three Gorge Dam has a history of tertian malaria and subtertian malaria epidemic, but there are no overall data about malaria epidemics before the completion of the project. The objective of this study was to get a reliable baseline on malaria infection in the Yangtze River Three Gorges reservoir area and to provide reference data for future studies about the impact of the project on malaria epidemics.MethodsTwo surveys of malaria infection were carried out in area, at six-month intervals in May and October 2008. About 3,600 dual specimens blood film samples for parasite diagnosis and filter paper blood spots for serology (using the immunofluorescence antibody test) were collected from the general population, including school populations, whenever possible.ResultsThe overall percentage of positive response of the same population during post-transmission periods was about twice (1.40/0.72) of that in pre-transmission. Positive individuals under 15 years of age were detected in all the localities.ConclusionA certain extent of malaria infection existed in this area. Additional studies are needed to determine the length of malaria experience, and chemotherapeutic intervention as well as the distribution of main vectors for transmission in this area.
PLOS ONE | 2012
Wang Duo-quan; Tang LinHua; Gu Zhen-cheng; Zheng Xiang; Yang Man-ni; Jiang Wei-kang
The mosquito sampling efficiency of light-trap catches and electric motor mosquito catches were compared with that of human biting catches in the Three Gorges Reservoir. There was consistency in the sampling efficiency between light-trap catches and human biting catches for Anopheles sinensis (r = 0.82, P<0.01) and light-trap catches were 1.52 (1.35–1.71) times that of human biting catches regardless of mosquito density (r = 0.33, P>0.01), while the correlation between electric motor mosquito catches and human biting catches was found to be not statistically significant (r = 0.43, P>0.01) and its sampling efficiency was below that of human biting catches. It is concluded that light-traps can be used as an alternative to human biting catches of Anopheles sinensis in the study area and is a promising tool for sampling malaria vector populations.
Malaria Journal | 2009
Wu Song; Pan JiaYun; Wang Xue-Zhong; Zhou Shui-Sen; Zhang GuoQing; Liu Qian; Tang LinHua
BACKGROUND Malaria is endemic in Linzhi Prefecture in the Tibet Autonomous Region (TAR), but the vector for malaria transmission had never been identified. METHODS Adult Anopheles spp. were collected in Motuo County, Linzhi Prefecture on the Sino-Indian border in July and August, 2007. Multiplex PCR was adopted for species identification, and a nested PCR approach was used to detect sporozoites in the salivary glands of the mosquitoes. RESULTS 3,675 mosquitoes of the Anopheles maculatus group were collected and processed for species identification. Among them, 3,602 (98.0%) were Anopheles pseudowillmori and 73 (2.0%) were Anopheles willmori. The Plasmodium vivax SSUrDNA fragment was amplified in two of 360 pooled An. pseudowillmori samples. CONCLUSION The local An. maculatus group comprises the species An. pseudowillmori and An. willmori. Anopheles pseudowillmori is considered the sole malaria vector in Motuo County in Linzhi Prefecture.BackgroundMalaria is endemic in Linzhi Prefecture in the Tibet Autonomous Region (TAR), but the vector for malaria transmission had never been identified.MethodsAdult Anopheles spp. were collected in Motuo County, Linzhi Prefecture on the Sino-Indian border in July and August, 2007. Multiplex PCR was adopted for species identification, and a nested PCR approach was used to detect sporozoites in the salivary glands of the mosquitoes.Results3,675 mosquitoes of the Anopheles maculatus group were collected and processed for species identification. Among them, 3,602 (98.0%) were Anopheles pseudowillmori and 73 (2.0%) were Anopheles willmori. The Plasmodium vivax SSUrDNA fragment was amplified in two of 360 pooled An. pseudowillmori samples.ConclusionThe local An. maculatus group comprises the species An. pseudowillmori and An. willmori. Anopheles pseudowillmori is considered the sole malaria vector in Motuo County in Linzhi Prefecture.
PLOS ONE | 2013
Wang Duo-quan; Tang LinHua; Liu Heng-hui; Gu Zhen-cheng; Zheng Xiang
Objective To identify the major ecological drivers for malaria vector density using the structural equation model (SEM) in the Three Gorges Reservoir. Method An 11-year longitudinal surveillance of malaria vector as well as its related ecological factors was carried out in the Three Gorges Reservoir. The Delphi method was used to identify associated ecological factors. The structural equation model was repeatedly corrected and improved by the corrected index, combined with the actual situation. The final model was defined by relative simplicity, best fitting as well as the practicality. Result The final model indicated that the direct effects of temperature, livestock, humidity, and breeding on the vector were 0.015, −0.228, 0.450, 0.516 respectively, their total effects on the vector were 0.359, −0.112, 0.850, and 0.043 through different pathways. Conclusion SEM was effective and convenient in elucidating the mechanism by which malaria vector dynamics operated in this study. It identified that the breeding had the highest direct effect on vector and played a key role for mediating effect of temperature and humidity.
Journal of Pathogen Biology | 2011
Tang LinHua
Journal of Pathogen Biology | 2010
Wu Song; Zhang GuoQing; Xu Xian; Wang Duo-quan; Yang FengTao; Zhang ShaoSen; Tang LinHua
Chinese journal of zoonoses | 2010
Wu Song; Huang Fang; Zhang GuoQing; Pan JiaYun; Wang XueZhong; Zuoma YangJin; Hong YongHong; Tang LinHua
Chinese journal of zoonoses | 2009
Zhang GuoQing; Guan Yayi; Tang LinHua; Hu Ling; Feng XiaoPing; Cai Yue; Yao JunMin; Liu DeQuan
Zhongguo Jishengchongxue yu Jishengchongbing Zazhi | 2015
Zhou Shuisen; Yan Jun; Xia Zhigui; Feng Jun; Hu Tao; Tang LinHua; Zhou XiaoNong
Journal of Pathogen Biology | 2009
Guan Yayi; Zhang GuoQing; Hu Ling; Feng XiaoPing; Cai Yue; Yao JunMin; Liu DeQuan; Tang LinHua