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

Nadia MushtaqIram SaleemMustansar Aatizaz Amjad
Published in: Concurrency and computation : practice & experience (2022)
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.
Keyphrases
  • coronavirus disease
  • sars cov
  • depressive symptoms
  • social support
  • respiratory syndrome coronavirus
  • climate change
  • machine learning
  • big data