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利用两个属性在总体均值估计下评估新冠病毒疾病风险。

Evaluating COVID-19 risk under the estimation of population mean using two attributes.

作者信息

Mushtaq Nadia, Saleem Iram, Amjad Mustansar Aatizaz

机构信息

Department of Statistics Forman Christian College (A Chartered University) Lahore Pakistan.

Department of Statistics Allama Iqbal Open University Islamabad Pakistan.

出版信息

Concurr Comput. 2022 Dec 25;34(28):e7386. doi: 10.1002/cpe.7386. Epub 2022 Oct 30.

Abstract

The virus of COVID-19 has affected humans physically, mentally, and economically all over the world. Each country's development level, resources, and immunization to have coping capacity against this covid19 differ country-wise. Thus, understanding socioeconomic vulnerability and coping capacity among countries under different health systems can be crucial. Contrasting most articles on COVID-19, this article focuses on evaluating and estimating the COVID-19 risk and lack of coping capacity in 190 countries. This present study suggests an exponential estimator using two auxiliary attributes. Theoretically, the mean square error expressions are derived and compared with some existing estimators. These findings were supported by using the real data of INFORM COVID-19 risk.

摘要

新型冠状病毒肺炎病毒在全球范围内对人类的身体、心理和经济都产生了影响。每个国家的发展水平、资源以及应对新冠疫情的能力因国家而异。因此,了解不同卫生系统下各国的社会经济脆弱性和应对能力至关重要。与大多数关于新冠疫情的文章不同,本文重点评估和估计了190个国家的新冠疫情风险和应对能力不足情况。本研究提出了一种使用两个辅助属性的指数估计量。从理论上推导了均方误差表达式,并与一些现有估计量进行了比较。通过使用INFORM新冠疫情风险的实际数据支持了这些发现。

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