Exploring Geospatial Factors Contributing to Malaria Prevalence in Kanchanaburi, Thailand

  • Jeefoo, P., Tripathi, N. K., Souris, M. S


This investigation is aimed to contribute the concepts and methods of the innovative development and application of Geographical Information System (GIS) and Remote Sensing regarding Malaria prevalence. Kanchanaburi province, Thailand is chosen as study area. The input data are based on the geospatial factors including climatic aspects, physical environment, and statistical record of Malaria cases. Afterwards data preprocessing needs to be carried out. Malaria cases map and information value (i-value) approach will be used in order to identify the relation between physical and social factors, and also statistical analysis will be carried out so as to define the relation of climatic factor. The final output based on those approaches is a Malaria risk map which is classified into three classes including high risk level, moderate risk level and low risk level. This study also develops the model based on i-values which are formed as thematic layers in GIS database and are computed using different map analysis techniques, for example, map crossing.