PEMODELAN SPASIAL KERENTANAN WILAYAH TERHADAP PENYAKIT LEPTOSPIROSIS BERBASIS EKOLOGI
(1) Fakultas Geografi UGM, Yogyakarta
(2) Fakultas Geografi UGM, Yogyakarta
Abstract
Leptospirosis is an acute infectious disease that can infect humans and animals
caused by leptospira bacteria and classified as zoonotic pathogens. Outbreaks of
the disease within a few years has been attacking people in Bantul. In the period
2009 to March 2013 there have been 394 cases, based on these facts it is
necessary to mapping disease susceptibility regions to leptospirosis in order to
determine priority areas of treatment and prevention. Spatial pattern analysis of
spread of the disease leptospirosis is done by using a method Nearest Neighbor
Distance Average. Modelling the ecological mapping units using remote sensing
data to tap environmental data such as land use, soil texture, stream buffers, and
the buffers settlement with the visual interpretation method. Index models are
used to create vulnerability models of leptospirosis disease. To test the accuracy
of the data model is used the cases of leptospirosis which have plots in study field.
Based on accuration test, it showed that there are 76 leptospirosis cases (or
92.68%) layed on vulnerable area in Imogiri, Bantul and Jetis District. Spatial
distribution pattern analysis of the leptospirosis cases using average nearest
neighbor distance methods showed that the distribution of the cases are grouped
with z score value is - 2.41.
caused by leptospira bacteria and classified as zoonotic pathogens. Outbreaks of
the disease within a few years has been attacking people in Bantul. In the period
2009 to March 2013 there have been 394 cases, based on these facts it is
necessary to mapping disease susceptibility regions to leptospirosis in order to
determine priority areas of treatment and prevention. Spatial pattern analysis of
spread of the disease leptospirosis is done by using a method Nearest Neighbor
Distance Average. Modelling the ecological mapping units using remote sensing
data to tap environmental data such as land use, soil texture, stream buffers, and
the buffers settlement with the visual interpretation method. Index models are
used to create vulnerability models of leptospirosis disease. To test the accuracy
of the data model is used the cases of leptospirosis which have plots in study field.
Based on accuration test, it showed that there are 76 leptospirosis cases (or
92.68%) layed on vulnerable area in Imogiri, Bantul and Jetis District. Spatial
distribution pattern analysis of the leptospirosis cases using average nearest
neighbor distance methods showed that the distribution of the cases are grouped
with z score value is - 2.41.
Keywords
spatial modelling, vulnerability, leptospirosis, spatial pattern analysis
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