15. Using remote sensing and GIS data for establishing malaria risk zoning maps

Abstract

Malaria is one of the most populated tropical diseases in Vietnam. Based on statistical data, the number of people infected malaria in Vietnam was 1 million people in 1991, reduced to 6780 people in 2018. The government's effort is to eliminate malaria from the community by 2030. However, the Central and Central Highlands provinces are still hot spots for malaria due to the characteristics of topography, population and people's living habits. Forecasting and risk zoning for the preparation of response plans are very important for malaria elimination. In this paper, GIS and Artificial Neuron Network (ANN) are integrated to process the remote sensing and observation data in order to create the malaria risk zoning map in Dak Nong province. The input data include 15 criteria and observational data from fields. The results showed that the forecasting malaria map is highly appropriate for field observation data. This means that GIS and ANN application has high potential in malaria forecast mapping and can be applied to other tropical diseases in Vietnam.