APPLICATION OF MULTIDIMENSIONAL SCALING ANALYSIS (MDS) ON REGENCY MAPPING IN CENTRAL SULAWESI PROVINCE BASED ON INFECTIOUS DISEASE INDICATORS
64th ISI World Statistics Congress - Ottawa, Canada
Format: CPS Abstract
Keywords: disease, multidimensional
Session: CPS 49 - Statistics and health II
Tuesday 18 July 4 p.m. - 5:25 p.m. (Canada/Eastern)
Extraordinary events of infectious diseases and poisoning are still a severe problem for people in Central Sulawesi. Some infectious diseases that still often cause extraordinary events are diarrhea, dengue fever, measles, and food poisoning. Health officials have made several efforts, but extraordinary events continue to occur in Central Sulawesi. Even in 2020, 8 outbreaks were reported, with 568 cases and two deaths. Based on these data, more efforts from the government to tackle the problem of infectious diseases are still very much needed. Hence, the government needs precise and accurate information to see the distribution of areas with infectious disease indicators. One of the efforts that can be made is to form a grouping of districts/cities into a group with similarities or almost identical characteristics. The research method used in this study is a 2-dimensional metric multidimensional scaling (MDS) analysis. The results of mapping regency based on indicators of infectious diseases with Multidimensional Scaling (MDS) analysis obtained the number of groups as many as four groups with different characteristics of each group based on the indicators. Group 1 consists of 2 regencies; Group 2 consists of 8 regencies; Group 3 consists of 2 regencies; Group 4 consists of 1 regency.
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