4.4 Article

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

Journal

Publisher

WILEY
DOI: 10.1002/cpe.7386

Keywords

auxiliary attributes; COVID-19 risk; exponential estimator; immunization coverage; lack of coping capacity; mean square error

Ask authors/readers for more resources

This article explores the impact of COVID-19 on countries worldwide and focuses on evaluating the risks and lack of coping capacity in 190 countries. The study finds variations in socioeconomic vulnerability and coping capacity among different countries and proposes an exponential estimator for evaluation.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available