key: cord-0780052-j8xcs5du authors: Lui, Briana; Zheng, Michelle; White, Robert S; Hoyler, Marguerite title: Economic burden of lives lost due to COVID-19 in New York State date: 2021-06-01 journal: Journal of comparative effectiveness research DOI: 10.2217/cer-2021-0086 sha: a262e3ea819c65183b948083683a173973cbfbaf doc_id: 780052 cord_uid: j8xcs5du 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. validated, reporting dates back to 1 March 2020 and 29 February 2020 for New York State and New York City, respectively. The most recent 2017 actuarial life tables for the Social Security area population were obtained from the Social Security Administration website to determine the number of years of life remaining at a given age [8] . Acquired data included period life expectancy (defined as the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for 2017 over the course of their remaining life) for males and females from birth to 119 years of age. The Social Security area population includes residents of the 50 States and the District of Columbia (adjusted for net census undercount); civilian residents of Puerto Rico, the Virgin Islands, Guam, American Samoa and the Northern Mariana Islands; Federal civilian employees and persons in the US Armed Forces abroad and their dependents; noncitizens living abroad who are insured for Social Security benefits; and all other US citizens abroad. This study used publicly available data and did not require approval from the Institutional Review Board. The baseline age of death was determined by taking the upper value of the midpoint of each age range (e.g., 5 for age range 0-9). The age ranges for New York State were: 0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89 and 90 and over. For 90 and over, the age range was arbitrarily set to 90-99 and the midpoint was set to 95. Nine deaths of unknown age range were excluded from the New York State analysis. The age ranges for New York City (and the five boroughs) were: 0-17, 18-24, 25-34, 35-44, 45-54, 55-64, 65-74 and 75 and over. For 75 and over, the age range was set to 75-95 and the midpoint was set to 81 based on the 2018 mean life expectancy in New York City as reported by the New York City Department of Health and Mental Hygiene's Bureau of Vital Statistics [9] . The primary outcomes of this study were total YPLL and VSL due to COVID-19 in New York State, New York City and the five boroughs. YPLL for each age range was calculated by multiplying the number of deaths by the average period life expectancy for males and females at the midpoint of each respective age range. 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. Average YPLL per person was calculated by dividing the total YPLL by the number of deaths. Sensitivity analyses for New York State and New York City were performed using the upper and lower end of each age range to determine the estimated range of YPLL. This study examined the YPLL and VSL due to COVID-19 in New York State, New York City and the five boroughs over a period of approximately 1 year since the start of the pandemic. As of 8 March 2021, the economic burden of lives lost was US$119.62 billion in New York State, with New York City accounting for an overwhelming majority of the cost at US$90.45 billion. The average YPLL per person was also greater in New York City compared with the overall state (15.13 vs 12.72). These findings are likely a reflection of a combination of factors including urban density, hospital bed and equipment shortages, racial/ethnic and socioeconomic disparities, local policymaker response, and New York City's status as a major center for global trade and tourism, and an early epicenter of the pandemic in the USA [11] [12] [13] . Further, state-and city-level analysis demonstrated that the economic burden of COVID-19 was predominantly concentrated in older age groups, consistent with prior literature showing the largest increase in mortality risk in patients over 50, and especially, over 60 years of age [14] . Subanalysis by borough further demonstrated that certain areas in New York City bore the greater brunt of the pandemic. Boroughs such as the Bronx, Queens and Brooklyn had higher average YPLL per person at 16.00, 15.55 and 15.00, respectively. Further, the total VSL of the Bronx, Queens and Brooklyn was nearly five-times that of Staten Island and double that of Manhattan. Between Staten Island and Manhattan, Staten Island had a higher average YPLL per person (14.47 vs 13.43), but a lower total VSL (US$4.89 vs 10.66 billion), possibly due to variation in population size, population density, demographics, social and environmental context, and patient-level health risks. Differences across boroughs are likely a reflection of the varying socioeconomic, racial and ethnic backgrounds. According to the US Census, the Bronx, Queens and Brooklyn are predominantly non-white and home to a higher percentage of African Americans, Asians and Hispanic/Latino residents compared with Staten Island and Manhattan. These three boroughs also have a greater percentage of individuals living in poverty and without health insurance [15] . These differences are consistent with prior literature displaying associations between low-income neighborhoods, a predominantly non-white population, and limited access to healthcare and testing with high COVID-19 positivity rates in New York City [12] . Given the ongoing COVID-19 pandemic, one important limitation of our analysis is that these values may neither represent the latest data nor the full extent of the pandemic as new data are acquired and released daily. Thus, the calculated YPLL and VSL are likely an underestimation of the actual loss of life across New York State due to this pandemic. Another important limitation is the lack of data stratified by both age and other demographic characteristics such as race, ethnicity and socioeconomic status. This limits the scope of our analysis regarding the contributing factors behind the disparities in YPLL and VSL across the five boroughs. The estimated statistics are further limited by the lack of data stratified by both age group and sex. As a result, the average of males and female period life expectancy were used to calculate the midpoint in determining the YPLL. At last, the methodology of estimating VSL has its limitations [16] [17] [18] [19] [20] . There exist multiple methods for determining VSL and monetary values of VSL may differ based on national wealth and average income, as well as economic philosophy or school, among many other factors [17] . Moreover, the VSL utilized in this paper was derived from a set VSLY that assumed a standard value of life, regardless of age, income and race. Since COVID-19 disproportionally affects individuals of color, those of lower socioeconomic status and older age, it is important to consider these factors when determining a set VSLY. The estimated YPLL and statistical value of lives lost in New York State and New York City, since the beginning of the COVID-19 pandemic, are substantial. Among the five New York City boroughs, Queens and Brooklyn bore the greatest economic burden of lives lost, followed by the Bronx, Manhattan and Staten Island. These data may inform appropriate and effective policy strategies to help New York State and New York City manage the ongoing COVID-19 pandemic, limit further economic losses and loss of life, and prepare for a postpandemic recovery. The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. No writing assistance was utilized in the production of this manuscript. • The estimated years of potential life lost and statistical value of lives lost in New York State and New York City, since the beginning of the COVID-19 pandemic, are substantial. • As of 8 March 2021, the economic burden of lives lost was US$119.62 billion in New York State, with New York City accounting for an overwhelming majority of the cost at US$90.45 billion. • State-and city-level analysis demonstrates that the economic burden of COVID-19 was predominantly concentrated in older age groups. • Among the five New York City boroughs, Queens and Brooklyn bore the greatest economic burden of lives lost, followed by the Bronx, Manhattan and Staten Island. Potential years of life lost due to COVID-19 in the United States, Italy, and Germany: an old formula with newer ideas Estimates of the value of life lost from COVID-19 in Ohio COVID-19 outbreak COVID-19: data (2021) Bureau of Vital Statistics. Summary of vital statistics What should we spend to save lives in a pandemic? A critique of the value of statistical life Subway ridership, crowding, or population density: determinants of COVID-19 infection rates in New York City Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility. Influenza Other Respir Why New York is the epicenter of the American coronavirus outbreak The effect of age on mortality in patients with COVID-19: a meta-analysis with 611,583 subjects United States Census Bureau. Quick Facts Do the benefits of COVID-18 policies exceed the costs? Exploring uncertainties in the age-VSL relationship The value of a statistical life How to value a life The heterogeneity of the value of statistical life: introduction and overview Exploring heterogeneity in the value of a statistical life: cause of death v. risk perceptions