Using remote Sensing and GIS technology to monitor and predict the malaria risk in Ham Thuan Nam district, Binh Thuan province
- Author:
Le Xuan Hung
- Publication Type:Journal Article
- Keywords:
Malaria
- MeSH:
Malaria;
risk factors;
diagnosis;
epidemiology
- From:Journal of Malaria and parasite diseases Control
2003;0(6):7-13
- CountryViet Nam
- Language:Vietnamese
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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 was a strong relationship 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 enviromental parameters such as land cover, vegetation, climate, meteorology... were used for building up a map to show the risk of malaria of the district through the retrospective and existing data SPOT, LANDSAT and ASTER satellite imageries. This map is corresponding with the malaria stratification maps of the district. Based on this malaria risk map, malaria situation and epidemic can be detected and prevented
