印度泰米尔纳德邦COVID-19感染和死亡的面板回归模型

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Data Pub Date : 2023-10-23 DOI:10.3390/data8100158

Rajarathinam Arunachalam

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引用次数: 0

摘要

2019年冠状病毒病(COVID-19)大流行的影响极其严重，全球经历了经济和健康危机。本研究基于面板回归模型，研究了2020年8月印度泰米尔纳德邦所有37个地区与covid -19相关的死亡人数和covid -19感染病例数的趋势和相关性。固定效应模型的R2值最大，达到78%，结果显著。斜率系数也非常显著，表明新发病例与死亡之间的关系存在相当大的差异。此外，新冠肺炎感染病例每增加一个单位，死亡率就增加0.02%。

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Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India

The impacts of the coronavirus disease 2019 (COVID-19) pandemic have been extremely severe, with both economic and health crises experienced worldwide. Based on the panel regression model, this study examined the trends and correlations in the number of COVID-19-related deaths and the number of COVID-19-infected cases in all 37 regions of the Tamil Nadu state in India, in August 2020. The fixed effects model had the greatest R2 value of 78% and exhibited significant results. The slope coefficient was also highly significant, showing a considerable variation in the relationship between new COVID-19 cases and deaths. Additionally, for every unit increase in COVID-19-infected cases, the death rate increased by 0.02%.

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来源期刊

Data Decision Sciences-Information Systems and Management

CiteScore

4.30

自引率

3.80%

发文量

审稿时长

10 weeks