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Short Communication
1 June 2021

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

Abstract

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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References

1.
Johns Hopkins University & Medicine Coronavirus Resource Center. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) (2021). https://coronavirus.jhu.edu/map.html
2.
Mitra AK, Payton M, Kabir N, Whitehead A, Ragland KN, Brown A. Potential years of life lost due to COVID-19 in the United States, Italy, and Germany: an old formula with newer ideas. Int. J. Environ. Res. Public Health 17(12), 4392 (2020).
3.
Mallow PJ. Estimates of the value of life lost from COVID-19 in Ohio. J. Comp. Eff. Res. 10(4), 281–284 (2021).
4.
Thompson CN, Baumgartner J, Pichardo C et al. COVID-19 outbreak – New York City, February 29 – June 1, 2020. MMWR Morb. Mortal. Wkly Rep. 69(46), 1725–1729 (2020).
7.
New York City Department of Health and Mental Hygiene. Coronavirus-data (2021). https://github.com/nychealth/coronavirus-data
8.
Social Security. Actuarial life table (2017). www.ssa.gov/oact/STATS/table4c6.html
9.
New York City Department of Health and Mental Hygiene, Bureau of Vital Statistics. Summary of vital statistics 2018 the city of New York (2018). www1.nyc.gov/assets/doh/downloads/pdf/vs/2018sum.pdf
10.
Adler MD. What should we spend to save lives in a pandemic? A critique of the value of statistical life.Duke Law School Public Law & Legal Theory Series No. 2020–40 (2020). http://dx.doi.org/10.2139/ssrn.3636550
11.
Hamidi S, Hamidi I. Subway ridership, crowding, or population density: determinants of COVID-19 infection rates in New York City. Am. J. Prev. Med. 60(5), 614–620 (2021).
12.
Lamb MR, Kandula S, Shaman J. Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility. Influenza Other Respir. Viruses 15(2), 209–217 (2020).
13.
CNN. Why New York is the epicenter of the American coronavirus outbreak (2020). www.cnn.com/2020/03/26/us/new-york-coronavirus-explainer/index.html
14.
Bonanad C, Garcia-Blas S, Tarazona-Santabalbina F et al. The effect of age on mortality in patients with COVID-19: a meta-analysis with 611,583 subjects. J. Am. Med. Dir. Assoc. 21(17), 915–918 (2020).
16.
Robinson LA, Sullivan R, Shogren JF. Do the benefits of COVID-18 policies exceed the costs? Exploring uncertainties in the age-VSL relationship. Risk Anal. (2020) (Epub ahead of print).
17.
Oxford Research Encyclopedia of Economics and Finance. Kniesner TJ, Viscusi WK. The value of a statistical life (2019). http://dx.doi.org/10.2139/ssrn.3379967
18.
Viscusi WK. How to value a life. J. Econ. Finance 32(4), 311–323 (2008).
19.
Viscusi WK. The heterogeneity of the value of statistical life: introduction and overview. J. Risk Uncertainty 40(1), 1–13 (2010).
20.
Alberini A, Ščasný M. Exploring heterogeneity in the value of a statistical life: cause of death v. risk perceptions. Ecol. Econ. 94, 143–155 (2013).