ANALYSIS OF MALARIA INCIDENCE BASED ON WIDESPREAD RAINFALL FACTOR IN OGAN KOMERING ULU DISTRICT, SOUTH SUMATERA PROVINCE, INDONESIAPademi Alamsyah, Chairil Anwar, Dwi Setyawan and Laila Hanum
The objective of the study was the analysis of malaria incidence based on widespread rainfall factor in Ogan Komering Ulu District, South Sumatera Province. The research sites were conducted in Ogan Komering Ulu District, South Sumatera Province. The data used in the study was from the Department of Health and was the monthly report of the discovery and treatment of malaria in 2013-2015. The maps of rainfall for only 2 km from the settlements become an area of the study. The distance determination was carried out using the approach of buffering, upon consideration of the flight range of Anopheles spp which only reached to fly no more than 2 km from the where it origin. The approach used is the spatial analysis using geographic approach, and the data that had been through the stages of data processing were analyzed using univariate data analysis to looked at the distribution of malaria cases by type of area rainfall. The research showed that an average incidence of malaria per 1000 population in 2013 to 2015 occurred in every district fluctuations. The fluctuations occurred due to an accumulation of various factors such as mosquitoes, parasites, environmental and human amended from time to time. The highest incidence of malaria spatially occurred in the Subdistrict of Lubuk Batang in the period of 2 (two) years. The characteristics of the region provided an indication of the vulnerability of the spread of malaria, with an area of 53.645 m2 and a total population of 32.146 inhabitants. The region also was the area of the extensive rainfall> 3500 mm per year which would support the transmission of malaria. The other factors that played a role were the lack of public awareness on malaria prevention familiarize behavior. The spread of malaria incidence in spatial ecology approach confirmed that Ogan Komering Ulu District in the medium category of the endemicity of malaria. The approach using the geographic information system (GIS) facilitated the monitoring of malaria and planning program for more accurate control efforts.
Enter your contact information below to receive full paper.