Objective To build a model for the relationship between the potential distribution of Anopheles sinensis and relevant bio-climatic factors, and to identify the main climatic influencing factors as well as predict the potential distribution of An. sinensis in China, thereby providing supporting data of vector distribution for the nationwide elimination of malaria. Methods A MaxEnt model was built to predict the potential distribution of An. sinensis using monitoring data from 2005 to 2010. The potential distribution areas of An. sinensis were divided into suitable and unsuitable areas, where “10 percentile training presence logistic threshold” was used to define the minimum threshold of suitable environment. The size of human population exposed to the distribution area of An. sinensis was evaluated using geographic information system. Results In the MaxEnt model, a receiver operating characteristic (ROC) curve was used to test the precision. The values of area under the ROC curve for 2005 to 2010 were estimated to be 0.814, 0.791, 0.783, 0.801, 0.774, and 0.802, respectively, indicative of good prediction precision. The modeling data showed that total annual precipitation, mean annual air pressure, precipitation of the wettest quarter, and minimum temperature of the coldest month strongly influenced the distribution of An. sinensis. Conclusion In China, the suitable area of An. sinensis and the exposed human population both showed a decreasing trend from 2005 to 2010. It is of great significance to the nationwide elimination of malaria and the prevention of related infectious diseases by grasping and understanding the potential distribution of An. sinensis in China.

Objective To predict the potential distribution of the Western Treehole Mosquitoes, Aedes sierrensis (Ludlow, 1905) in China. Methods Genetic algorithm for rule-set production (GARP) was used for prediction of the potential distribution based  on  current  stable  distribution  of  Ae. sierrensis  derived  from  previous  literatures. Results The potential  distribution  of Ae. sierrensis covered most provinces in China, with the high-risk area located in the north and central part of China, including Xinjiang, Inner Mongolia, Ningxia, Shaanxi, Shanxi, Hebei, Beijing, Tianjin, Henan, Shandong, Liaoning, Jilin and Heilongjiang; the moderate?risk areas including Anhui, south of Hebei, southeast of Shandong, north of Hubei and northwest of Zhejiang; and the low-risk areas including Guizhou, Guangxi, Hunan, Chongqing, Hubei, Jiangxi, Fujian, Hainan and Taiwan. Conclusion Extensive potential distribution of Ae. sierrensis was identified in China with high risk levels, and thus risk management should be developed and deployed to prevent potential invasion of such mosquitoes.

【Abstract】 Under the support of asp program and structured query language（SQL） Server 2000 database management system, the information system on vector specimen was established by ADO data accessing technology and SQL query technology based on the data collected from the health department and the quarantine department. The system was made up of basic information database, specimen photo database and user information database. The information management system not only could take charge of the database, but also offered services to the ordinary users. It had good service function, which included that it had a friendly interface and it could inquire accurately and fuzzily. The system provided detailed information of vector specimens for the health/quarantine departments and the ordinary users, realizing the share of vector specimen information, which would be applied widely in the future.