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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.

DOI:10.1002/cpe.7386
PMID:36714183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9874473/
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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本文引用的文献

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Coping with the COVID-19 Pandemic: Perceived Changes in Psychological Vulnerability, Resilience and Social Cohesion before, during and after Lockdown.应对 COVID-19 大流行:封锁前后心理脆弱性、韧性和社会凝聚力的感知变化。
Int J Environ Res Public Health. 2022 Mar 10;19(6):3290. doi: 10.3390/ijerph19063290.
2
Pandemic reminders as psychological threat: thinking about COVID-19 lowers coping self-Efficacy among trauma-exposed adults.大流行的提醒是一种心理威胁:想到 COVID-19 会降低创伤后成年人的应对自我效能感。
Cogn Emot. 2022 Feb;36(1):23-30. doi: 10.1080/02699931.2021.2020731. Epub 2021 Dec 24.
3
Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example.运用统计学和数学建模来理解传染病爆发:以新冠疫情为例。
Infect Dis Model. 2020 Jul 4;5:409-441. doi: 10.1016/j.idm.2020.06.008. eCollection 2020.
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Describing the pattern of the COVID-19 epidemic in Vietnam.描述越南 COVID-19 疫情的模式。
Glob Health Action. 2020 Dec 31;13(1):1776526. doi: 10.1080/16549716.2020.1776526.
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The potential impact of vulnerability and coping capacity on the pandemic control of COVID-19.脆弱性和应对能力对 COVID-19 大流行控制的潜在影响。
J Infect. 2020 Nov;81(5):816-846. doi: 10.1016/j.jinf.2020.05.060. Epub 2020 May 28.
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Understanding epidemic data and statistics: A case study of COVID-19.理解疫情数据和统计:以 COVID-19 为例。
J Med Virol. 2020 Jul;92(7):868-882. doi: 10.1002/jmv.25885. Epub 2020 Apr 25.