Conference Agenda

Approximately half of the world’s population is at the risk of at least one vector-borne parasitic disease. The survival of intermediate hosts of vector-borne parasitic diseases is governed by various environmental factors, and remote sensing can be used to characterize and monitor environmental factors related to intermediate host breeding and reproduction, and become a powerful means to monitor the vector-borne parasitic diseases. Schistosomiasis is a parasitic disease that menaces human health. Oncomelania hupensis (snail) is the unique intermediate host of schistosoma, so monitoring and controlling of the number of snail is key to reduce the risk of schistosomiasis transmission. Landsat 8 and Sentinel 2 had been used to obtain the environmental factors (vegetation, soil, temperature, terrain et al.), which are related to the living, multiplying and transmission of intermediate host. Then this study used T-S Fuzzy RS model to establish a new suitable index membership function due to the different RS data, and a long time series dynamic monitoring of snail distribution in Dongting Lake were achieved. A comparative analysis had been performed to validate the predicted results against the field survey data. The results demonstrate the accuracy of the developed model in predicting distribution of snails.

Malaria has induced enormous public health problems worldwide, especially in the tropical and subtropical areas. The transmission of malaria parasites depend on mosquitoes’ biting on human beings. The ability of the mosquitoes to transmit malaria parasites is dependent upon a series of biological features generally referred to as vectorial capacity. The development of mosquitoes’ population as well as their biting behaviors are determined by a serial of environmental factors, especially the rainfall and temperature. In this study, remote sensing products from the high-resolution GF-1 images were utilized to develop the vectorial capacity model (VCAP), which was expanded to include the influence of rainfall and temperature variables on malaria transmission potential. The developed model was implemented in Tengchong City in Yunnan Province, which is located at the China-Myanmar border area. The data of historical malaria infections, as well as the meteorological and hydrological records were collected to establish geographic information system database in terms of spatial distribution of malaria and mosquitoes．Then spatial pattern of mosquitoes’ vectorial capacity were mapped and the risky area for malaria transmission were identified, which will help to develop more sustainable strategies for malaria control and prevention．

Schistosomiasis is one of the most serious parasitic diseases due to the infection of schistosoma japonieum via the intermediate host snails, which have endangered to the safety of public health worldwide. In China, it remains endemic in lake and marshland regions including Anhui, Hubei, Hunan, Jiangxi, Jiangsu Provinces as well as mountains areas in Sichuan and Yunan Provinces. The transmission of schistosomiasis is closely related to environmental factors, such as vegetation, temperature, hydrology and soil. In order to enhance the capacity of schistosomiasis contro1 and prevention, TM images and high-resolution GF-1 images were utilized to identified snail habitats of based on geographic information system (GIS) and remote sensing(RS) technology. As a typical lake and marshland endemic regions, Yueyang City in Hunan Provice which is located near the Donting Lake, is selected as the study region. The data of historical infection records, as well as the meteorological, hydrological and land surface types were collected to establish geographic information system database of spatial distribution of schistosomiasis and snails．Then spatial pattern of schistosomiasis risks were mapped and factors associated with geographical variation in infection patterns were identified, which will help to develop more sustainable strategies for schistosomiasis surveillance．