MODELLING DISEASE RISK FAKTORS FOR COVID-19 ON DISTRICT/CITY IN WEST SUMATERA

JKMA Jurnal Kesehatan Masyarakat Andalas Andalas Journal of Public Health Pub Date : 2022-10-13 DOI:10.24893/jkma.v16i2.945

Vitratul Ilahi, M. Masrizal, S. Syafrawati

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引用次数: 0

Abstract

The chain of transmission of COVID-19 cases has been increased from day to day. Based on data from the Ministry of Health, the province of West Sumatra is ranked 3rd in Indonesia. This research is aimed to find out the modelling of risk factor of COVID-19 disease in district/city in West Sumatera. This research is an observational analytic study using secondary data in 2020 and multivariate analysis includes a cluster analysis, biplot analysis and discriminant analysis. The unit of analysis in this study are all districts / cities in West Sumatra and uses 6 factors that cause COVID-19 in West Sumatra. Grouping process yieldedÂ threeÂ clustersÂ ofÂ districtsÂ /Â citiesÂ basedÂ on factorsÂ causesÂ COVID-19. The different variable between clusters based on the result of discriminant analysis, namely; the number of elderly, the percentage of poor people and the population density. To that end, it is advisable toÂ West Sumatra Provincial Health Office in the implementation of eradication programs and disease prevention COVID-19 to implement disease management based on the characteristics of each region of each district / city.

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西苏门答腊地区/城市COVID-19疾病风险因素建模

COVID-19病例的传播链日益增加。根据卫生部的数据，西苏门答腊省在印度尼西亚排名第三。本研究旨在建立西苏门答腊地区(市)新型冠状病毒病危险因素模型。本研究是利用2020年二次数据进行的观察性分析研究，多变量分析包括聚类分析、双图分析和判别分析。本研究的分析单位是西苏门答腊的所有地区/城市，并使用导致西苏门答腊COVID-19的6个因素。在factorsÂ causesÂ COVID-19上进行分组过程yieldedÂ threeÂ clustersÂ ofÂ districtsÂ /Â citiesÂ basedÂ。基于判别分析结果的聚类之间的不同变量，即;老年人的数量，贫困人口的比例和人口密度。为此，建议toÂ西苏门答腊省卫生办公室在实施COVID-19根除计划和疾病预防时，根据每个地区/城市的每个地区的特点实施疾病管理。

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JKMA Jurnal Kesehatan Masyarakat Andalas Andalas Journal of Public Health

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审稿时长

3 weeks