METODE ANALISIS REGRESI SPASIAL DALAM MEMODELKAN KASUS COVID-19 DI INDONESIA

Nindyna Puspasari, NI Luh Putu Suciptawati, M. Susilawati
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Abstract

Covid-19 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2. The transmission of Covid-19 has negative impact on every aspect. This study aimed  to determine the factors that significantly affect the number of Covid-19 cases in Indonesia. Spatial regression analysis was used as the research method. The results obtained that on the dependent variable there is a spatial dependence, so the selected model is Spatial Autoregressive Model (SAR) with an AIC value of 759.09 and an  value of 58.49%. The significant influencing factor is proportion of the population over 50 years old and open unemployment rate.
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印度尼西亚新冠肺炎模型空间调节的分析方法
新冠肺炎是由严重急性呼吸综合征冠状病毒2引起的传染病。新冠肺炎的传播对各个方面都有负面影响。这项研究旨在确定对印度尼西亚新冠肺炎病例数有重大影响的因素。研究方法采用空间回归分析。结果表明,因变量存在空间依赖性,因此选择的模型为空间自回归模型(SAR),AIC值为759.09,值为58.49%。显著影响因素是50岁以上人口比例和公开失业率。
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