Abstract
The geographical status of forest-type and paddy-type malaria endemic site in Savannakhet province, southern part of Laos, is quantitatively analyzed in relation to malaria incidence. For this purpose, landscape analysis using satellite image and rapid diagnostic test (RDT) for two types of malaria were used. Time series images of MODIS (MODerate-resolution Imaging Spectroradiometer) satellite were used to classify various types of landscape, based on the abundance of vegetation. This tentative classification was further categorized to agricultural landscapes, which reflected land cover types such as shifting cultivation. In order to quantitatively search the agricultural landscape affecting the prevalence of malaria, conditional inference tree classification by Monte Carlo simulation was carried out. It was clearly seen that the geographical distribution of malaria endemic in Savannakhet was basically associated with the forested/shifting cultivation category in MODIS-based agricultural landscape, and extremely high-prevalence cluster was also present among this category. In addition, it was observed that malaria endemic clusters were formed locally in the dry dipterocarps forest and rain-fed cropland mixed landscape.
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Tojo, B. (2019). Statistical Analysis on Geographical Condition of Malaria Endemic Area: A Case of Laos Savannakhet Province. In: Watanabe, T., Watanabe, C. (eds) Health in Ecological Perspectives in the Anthropocene. Springer, Singapore. https://doi.org/10.1007/978-981-13-2526-7_5
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