Journal
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Volume 34, Issue 28, Pages -Publisher
WILEY
DOI: 10.1002/cpe.7386
Keywords
auxiliary attributes; COVID-19 risk; exponential estimator; immunization coverage; lack of coping capacity; mean square error
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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.
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