Estimates of the value of life lost from COVID-19 in Ohio

Mallow, Peter J.

doi:10.2217/cer-2020-0245

Cited by 10 publications

(9 citation statements)

References 6 publications

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“…The VSLY utilized in this paper assumed an age- and income-adjusted but otherwise standard VSL, regardless of factors such as community preferences, values and work-related risk exposures [ 14 , 31 ]. Although the present approach is consistent with prior research [ 25 ], and no universally accepted mathematical model of VSLY exists, alternate models of VSLY may incorporate additional variables and arrive at different valuations [ 31 , 32 ] Consequently, the results of this study should be understood as estimates of the financial value of COVID-19 risk reductions across groups, with the trends toward racial and ethnic disparities observed here likely to be more meaningful than precise values. Furthermore, while it is possible that other methodologies would yield less-pronounced racial and ethnic disparities, the current findings may, in fact, be more likely to underestimate the disparities in VSL across racial and ethnic groups, due to the higher COVID-19 exposure risks associated with many low-income jobs, which are often disproportionately held by non-White workers [ 3 ].…”

Section: Discussionsupporting

confidence: 67%

“…The results of the present study are consistent with similar disparities analyzed in New York, Ohio and Illinois. In New York and Ohio, older individuals bore the greatest economic burden of life lost, with individuals over the age of 60 experiencing the greatest impact [ 4 , 25 ]. In Chicago, Illinois, and in Cook County in general, Black and Hispanic residents experienced a disproportionate COVID-19 burden and premature loss of life [ 26 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

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Economic burden of lives lost due to COVID-19 in California State

et al. 2022

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Aim: To examine the economic impact of lives lost due to the coronavirus pandemic across California and Los Angeles (LA) County. Patients & methods: Years of potential life lost (YPLL) and the value of statistical life (VSL) were calculated using mortality data from the California Department of Public Health, the LA County Department of Public Health and the Social Security Administration websites. Results: In California and LA County, the average YPLL per person were 14.3 and 14.7 and the VSLs were approximately US$219.9 billion and $82.7 billion, respectively. YPLL and VSL were greatest for Latinos aged 50–64. Conclusion: The economic burden of lives lost due to the coronavirus across California and LA County is substantial. Latinos aged 50–64 were most affected.

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Section: Discussionsupporting

confidence: 67%

Section: Discussionmentioning

confidence: 99%

Economic burden of lives lost due to COVID-19 in California State

et al. 2022

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“…The population average VSLY, which is used by policymakers to calculate the economic value of reducing mortality risks, was determined to be US$240,676 based on previously published literature [10]. The VSL for each age range was then calculated by multiplying the YPLL by the VSLY to quantify the economic burden of premature deaths due to COVID-19 [3]. The YPLL and VSL values were aggregated to obtain total YPLL and total VSL.…”

Section: Discussionmentioning

confidence: 99%

Economic burden of lives lost due to COVID-19 in New York State

et al. 2021

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Aim: To examine the economic impact of lives lost due to the COVID-19 pandemic across New York State. Materials & methods: Death counts by age range and period life expectancy were extracted from the NYS Department of Health, NYC Department of Health and Mental Hygiene, and Social Security Administration website. Years of potential life lost and value of statistical life (VSL) were calculated. Results: The average years of potential life lost per person was 12.72 and 15.13, and the VSL was US$119.62 and 90.45 billion, in NYS and NYC, respectively. VSL was greatest in Queens and Brooklyn, followed by the Bronx, Manhattan and Staten Island. Conclusion: New York City, specifically Queens and Brooklyn, bore the greatest economic burden of lives lost across the state.

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“…In Section 4, we also include a brief discussion of the methodological weakness of using the sex-specific remaining life expectancy method to define YPLL in the context of COVID-19. YPLL has been used to contrast male and female COVID-19-attributable YPLL in the state of Ohio [48], but outside of Quast et al and to the best of our knowledge at the time of writing, YPLL has not yet been formally used as an epidemiological measure of mortality burden in the peer-reviewed literature to comprehensively characterize state-level disparities in the COVID-19 mortality burden between males and females in the U.S.…”

Section: Methodsmentioning

confidence: 99%

Male-Female Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: A State-by-State Analysis

Chen

Belin

et al. 2021

Preprint

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Males are at higher risk relative to females of severe outcomes following COVID-19 infection. Focusing on COVID-19-attributable mortality in the United States (U.S.), we quantify and contrast years of potential life lost (YPLL) attributable to COVID-19 by sex based on data from the U.S. National Center for Health Statistics as of 31 March 2021, specifically by contrasting male and female percentages of total YPLL with their respective percent population shares and calculating age-adjusted male-to-female YPLL rate ratios both nationally and for each of the 50 states and the District of Columbia. Using YPLL before age 75 to anchor comparisons between males and females and a novel Monte Carlo simulation procedure to perform estimation and uncertainty quantification, our results reveal a near-universal pattern across states of higher COVID-19-attributable YPLL among males compared to females. Furthermore, the disproportionately high COVID-19 mortality burden among males is generally more pronounced when measuring mortality in terms of YPLL compared to age-irrespective death counts, reflecting dual phenomena of males dying from COVID-19 at higher rates and at systematically younger ages relative to females. The U.S. COVID-19 epidemic also offers lessons underscoring the importance of a public health environment that recognizes sex-specific needs as well as different patterns in risk factors, health behaviors, and responses to interventions between men and women. Public health strategies incorporating focused efforts to increase COVID-19 vaccinations among men are particularly urged.

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Estimates of the value of life lost from COVID-19 in Ohio

Cited by 10 publications

References 6 publications

Economic burden of lives lost due to COVID-19 in California State

Economic burden of lives lost due to COVID-19 in California State

Economic burden of lives lost due to COVID-19 in New York State

Male-Female Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: A State-by-State Analysis

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