基于空间自回归模型(SAR)的东爪哇省麻风病例影响因素分析

Desi Rahmawati, Hardian Bimanto
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引用次数: 0

摘要

在印度尼西亚,由麻风分枝杆菌引起的麻风仍然是一个健康问题。东爪哇省每个县/城市的麻风病发病率显示出空间依赖性。本研究旨在描述东爪哇省麻风发病模式,并确定影响麻风发病的因素。本研究使用了东爪哇省卫生厅和东爪哇省中央统计局于2018年发布的二手数据。本研究的观察单位是东爪哇省的38个县/市。分析方法是基于面积的空间自回归模型(Spatial Autoregressive Model, SAR)。根据分析结果可知,Moran’s指数值= 0.250 (p = 0.018),表明存在空间依赖性。平均受教育年限(p = 0.001)和男性人群(p = 0.006)对麻风发病率有显著影响。同时,健康住房覆盖率(p = 0.111)和人口密度(p = 0.055)对麻风病发病率没有影响。东爪哇省麻风病的传播模式集中在邻近地区,影响麻风病发病率的因素是平均学龄和男性人口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Factors Affecting Leprosy Cases in East Java Province with Spatial Autoregressive Model (SAR)
Leprosy caused by Mycobacterium leprae is still a health problem in Indonesia. The incidence of leprosy in every regency/city in East Java Province indicates a spatial dependence. This study aims to describe the pattern of leprosy incidence and identify factors that influence the incidence of leprosy in East Java Province. This study used secondary data published by East Java Provincial Health Office and East Java Central Statistics Agency in 2018. The observation units in this study are 38 regencies/cities in East Java Province. The analytical method used is Spatial Autoregressive Model (SAR) which is a spatial approach based on area. Based on the results of analysis show that Moran's index value = 0.250 (p = 0.018) which means indicating a spatial dependency. The mean years' schools (p = 0.001) and the male population (p = 0.006) had a significant effect on the incidence of leprosy. Meanwhile, the percentage of healthy housing coverage (p = 0.111) and population density (p = 0.055) did not affect the incidence of leprosy. The spread pattern of leprosy in East Java Province is clustered in adjacent areas and factors that affect the incidence of leprosy are the mean years' schools and the male population.
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