Spatial Analysis of Acute Respiratory Infection (ARI) Based On the Air Pollution Standard Index (PSI) at DKI Jakarta Region in 2018-2019

Istianah Surury, M. Azizah, Nastiti Dyah Prastiwi
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Abstract

Introduction: Acute respiratory infection (ARI) is a health problem causing global morbidity and mortality in Indonesia, with 18.8 billion cases and more than six million deaths observed in 2016. Between 2013 and 2018, the diagnosis of ARI prevalence reportedly experienced a 10% decrease from 12.5-2.5%, within 10 provinces, including DKI Jakarta, Indonesia. Methods: This study aims to identify the spatial analysis of ARI events using an ecological method, based on the Air Pollution Standard Index (PSI) at DKI Jakarta between 2018 and 2019. Results and Discussion: Data analysis was performed by mapping case description through Quantum GIS, correlation assessment, as well as linear regression with SPSS scatter plot. Based on the bivariate analysis, the correlation assessment and linear regression of the ARI event with PM10 had positive regression in 2018 and 2019, at (R)0.649 and (R)0.0630, respectively. Conclusion: The highest PM10 values in Kelapa Gading and Cipayung districts increased the case of ARI fluctuations within two years. Therefore, the environmental health service office focused on the air quality evaluation and prevention control of ARI cases.
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基于空气污染标准指数(PSI)的2018-2019年雅加达DKI地区急性呼吸道感染(ARI)的空间分析
引言:急性呼吸道感染(ARI)是一个健康问题,在印度尼西亚造成全球发病率和死亡率,2016年观察到188亿例病例,600多万人死亡。据报道,2013年至2018年间,在包括印度尼西亚雅加达DKI在内的10个省,ARI患病率的诊断从12.5-2.5%下降了10%。方法:本研究旨在根据雅加达DKI 2018年至2019年的空气污染标准指数(PSI),使用生态学方法确定ARI事件的空间分析。结果与讨论:通过Quantum GIS绘制案例描述图、相关性评估以及SPSS散点图线性回归进行数据分析。基于双变量分析,ARI事件与PM10的相关性评估和线性回归在2018年和2019年分别为(R)0.649和(R)0.0630,呈正回归。结论:Kelapa Gading和Cipayung地区的最高PM10值增加了两年内ARI波动的情况。因此,环境卫生服务办公室将重点放在ARI病例的空气质量评估和预防控制上。
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
32
审稿时长
16 weeks
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