Using remote sensing and GIS technology to monitor and predict the malaria risk in Ham Thuan Nam district, Binh Thuan province

ABSTRACT

Remote sensing and GIS technology was studied in 2003 to detect and predict the malaria risk in Ham Thuan Nam district, Binh Thuan province where malaria is endemic. The results showed that there is a chased relationships between natural, environmental and socio-economic indicators and malaria transmission in different areas of the district. The malaria morbidity rate from 1996 to 2002 and environmental parameters such as land cover, vegetation, climate, meteorology... were used for constructing a map to show the risk of malaria in the district through the retrospective and existing data SPOT, LANDSAT and ASTER satellite imageries. Based on this malaria risk map, the malaria situation and epidemic can be detected and prevented.