ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG

Background: Although Indonesia has achieved the step of elimination at national level, there are still several provinces with a high rate of leprosy disease. It can be expected that the elimination of leprosy disease can be achieved at best by making a spatial analysis and mapping on those with the...

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Main Authors: , Marjono, , Prof.dr. Hari Kusnanto, DrPH
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2012
Subjects:
ETD
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author , Marjono
, Prof.dr. Hari Kusnanto, DrPH,
author_facet , Marjono
, Prof.dr. Hari Kusnanto, DrPH,
author_sort , Marjono
collection UGM
description Background: Although Indonesia has achieved the step of elimination at national level, there are still several provinces with a high rate of leprosy disease. It can be expected that the elimination of leprosy disease can be achieved at best by making a spatial analysis and mapping on those with the disease and variations in several risk factors for the dissemination. Objective: To find out whether or not there is the clustering of leprosy disease, and to identify relationship between the leprosy disease and social- economic, demographic and geographic factors. Method: The study was an analytical research using a quantitative method with a case-control design assisted by the GIS software. Data analysis was done by using the Satscan and EpiInfo softwares (statcalc), followed-up by multivariate analysis. Result: Most likely cluster occurred with the cluster radius of 5.47 km (Pvalue of 0.042), while secondary cluster occurred with the cluster radius of 4.04 km (P-value of 0.098). The most likely cluster of leprosy divided MB occurred with the radius 34 m, while secondary cluster occurred with radius 17 m. Bivariate analysis
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spelling oai:generic.eprints.org:1001822016-03-04T08:47:43Z https://repository.ugm.ac.id/100182/ ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG , Marjono , Prof.dr. Hari Kusnanto, DrPH, ETD Background: Although Indonesia has achieved the step of elimination at national level, there are still several provinces with a high rate of leprosy disease. It can be expected that the elimination of leprosy disease can be achieved at best by making a spatial analysis and mapping on those with the disease and variations in several risk factors for the dissemination. Objective: To find out whether or not there is the clustering of leprosy disease, and to identify relationship between the leprosy disease and social- economic, demographic and geographic factors. Method: The study was an analytical research using a quantitative method with a case-control design assisted by the GIS software. Data analysis was done by using the Satscan and EpiInfo softwares (statcalc), followed-up by multivariate analysis. Result: Most likely cluster occurred with the cluster radius of 5.47 km (Pvalue of 0.042), while secondary cluster occurred with the cluster radius of 4.04 km (P-value of 0.098). The most likely cluster of leprosy divided MB occurred with the radius 34 m, while secondary cluster occurred with radius 17 m. Bivariate analysis [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , Marjono and , Prof.dr. Hari Kusnanto, DrPH, (2012) ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=56643
spellingShingle ETD
, Marjono
, Prof.dr. Hari Kusnanto, DrPH,
ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG
title ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG
title_full ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG
title_fullStr ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG
title_full_unstemmed ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG
title_short ANALISIS SPASIAL PENYAKIT KUSTA DI KOTAMADYA SORONG
title_sort analisis spasial penyakit kusta di kotamadya sorong
topic ETD
work_keys_str_mv AT marjono analisisspasialpenyakitkustadikotamadyasorong
AT profdrharikusnantodrph analisisspasialpenyakitkustadikotamadyasorong