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Dataset Information

Estimating global burden of COVID-19 with disability-adjusted life years and value of statistical life metrics.


ABSTRACT:

Background

Global burden of COVID-19 has not been well studied, disability-adjusted life years (DALYs) and value of statistical life (VSL) metrics were therefore proposed to quantify its impacts on health and economic loss globally.

Methods

The life expectancy, cases, and death numbers of COVID-19 until 30th April 2021 were retrieved from open data to derive the epidemiological profiles and DALYs (including years of life lost (YLL) and years loss due to disability (YLD)) by four periods. The VSL estimates were estimated by using hedonic wage method (HWM) and contingent valuation method (CVM). The estimate of willingness to pay using CVM was based on the meta-regression mixed model. Machine learning method was used for classification.

Results

Globally, DALYs (in thousa

SUBMITTER: Fan CY 

PROVIDER: S-EPMC8165085 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature