Yudhastuti, Ririh (2014) Early Warning System of Malaria Disease Using Spatial Pattern Analysis. Open Journal of Mathematical Modeling, 4. ISSN 2328-496X

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Abstract

Malaria is a disease that comes back, ranks l 0th cause of illness. Malaria also ranks 5th of six infectious diseases were the cause of death in the world. Malaria is the leading cause of death of tropical diseases, every year there are 40% of the world population at risk of suffering from malaria or about 300-500 million cases. It is estimated that each year there are 1-3 million people die caused malaria. Map of geographical distribution of disease is very useful to help implement the intervention plan. The objectives of this study are to describe a case of malaria and developed vulnerability maps the spread of malaria in Tanah Bumbu, South Kalimantan by using spatial pattern analysis. The results showed that the number of malaria cases in the first 6 months is higher than the second 6 months. Furthermore, it can be informed also that the spread of malaria cases are likely to be in the region of northern, central and southern. The highest numbers of cases of malaria in Tanah Bum bu during the past 5 years occurred in January 2012 LISA Based on testing, Sungai Loban District, Angsana, Simpang Empat, Mantewe, and Kuranji is a district that has a spatial relationship with the surrounding districts and form a grouping with numbers high malaria cases.

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