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1.
J Public Health (Oxf) ; 44(3): e353-e358, 2022 08 25.
Article in English | MEDLINE | ID: covidwho-1873989

ABSTRACT

BACKGROUND: Prior estimates of the years of life lost (YLLs) in the USA associated with coronavirus disease 2019 (COVID-19) were 1.2 million through 11 July 2020 and 3.9 million through 31 January 2021 (which roughly coincides with the first full year of the pandemic). The aim of this study is to update YLL estimates through the first 2 years of the pandemic. METHODS: We employed data regarding COVID-19 deaths through 5 February 2022 by jurisdiction, gender and age group. We used actuarial life expectancy tables by gender and age to estimate YLLs. RESULTS: We estimated roughly 9.7 million YLLs due to COVID-19 deaths. The number of YLLs per 10 000 capita was 297.5, with the highest rate in Mississippi (482.7) and the lowest in Vermont (61.4). There was substantial interstate variation in the timing of YLLs and differences in YLLs by gender. YLLs per death increased from 9.2 in the first year of the pandemic to 10.8 through the first 2 years. CONCLUSIONS: Our findings improve our understanding of how the mortality effects of COVID-19 have evolved. This insight can be valuable to public health officials as the disease moves to an endemic phase.


Subject(s)
COVID-19 , Pandemics , Humans , Life Expectancy , Public Health , United States/epidemiology
2.
Public Health Rep ; 136(6): 782-790, 2021.
Article in English | MEDLINE | ID: covidwho-1374029

ABSTRACT

OBJECTIVE: COVID-19 mortality varies across demographic groups at the national level, but little is known about potential differences in COVID-19 mortality across states. The objective of this study was to estimate the number of all-cause excess deaths associated with COVID-19 in Florida and Ohio overall and by sex, age, and race. METHODS: We calculated the number of weekly and cumulative excess deaths among adults aged ≥20 from March 15 through December 5, 2020, in Florida and Ohio as the observed number of deaths less the expected number of deaths, adjusted for population, secular trends, and seasonality. We based our estimates on death certificate data from the previous 10 years. RESULTS: The results were based on ratios of observed-to-expected deaths. The ratios were 1.17 (95% prediction interval, 1.14-1.21) in Florida and 1.15 (95% prediction interval, 1.11-1.19) in Ohio. Although the largest number of excess deaths occurred in the oldest age groups, in both states the ratios of observed-to-expected deaths were highest among adults aged 20-49 (1.21; 95% prediction interval, 1.11-1.32). The ratio of observed-to-expected deaths for the Black population was especially elevated in Florida. CONCLUSIONS: Although excess deaths were largely concentrated among older cohorts, the high ratios of observed-to-expected deaths among younger age groups indicate widespread effects of COVID-19. The high levels of observed-to-expected deaths among Black adults may reflect in part disparities in infection rates, preexisting conditions, and access to care. The finding of high excess deaths among Black adults deserves further attention.


Subject(s)
COVID-19/epidemiology , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/mortality , Cause of Death , Child , Child, Preschool , Comorbidity , Female , Florida/epidemiology , Health Status , Humans , Infant , Male , Middle Aged , Ohio/epidemiology , Pandemics , Racial Groups , SARS-CoV-2 , Sex Factors , Socioeconomic Factors , United States/epidemiology , Young Adult
3.
J Public Health (Oxf) ; 44(1): e20-e25, 2022 03 07.
Article in English | MEDLINE | ID: covidwho-1174953

ABSTRACT

BACKGROUND: Years of Life Lost (YLLs) measure the shortfall in life expectancy due to a medical condition and have been used in multiple contexts. Previously it was estimated that there were 1.2 million YLLs associated with coronavirus disease 2019 (COVID-19) deaths in the USA through 11 July 2020. The aim of this study is to update YLL estimates for the first full year of the pandemic. METHODS: We employed data regarding COVID-19 deaths in the USA through 31 January 2021 by jurisdiction, gender and age group. We used actuarial life expectancy tables by gender and age to estimate YLLs. RESULTS: We estimated roughly 3.9 million YLLs due to COVID-19 deaths, which correspond to roughly 9.2 YLLs per death. We observed a large range across states in YLLs per 10 000 capita, with New York City at 298 and Vermont at 12. Nationally, the YLLs per 10 000 capita were greater for males than females (136.3 versus 102.3), but there was significant variation in the differences across states. CONCLUSIONS: Our estimates provide further insight into the mortality effects of COVID-19. The observed differences across states and genders demonstrate the need for disaggregated analyses of the pandemic's effects.


Subject(s)
COVID-19 , Female , Humans , Life Expectancy , Male , New York City , Pandemics , SARS-CoV-2 , United States/epidemiology
4.
J Public Health (Oxf) ; 42(4): 717-722, 2020 11 23.
Article in English | MEDLINE | ID: covidwho-745742

ABSTRACT

BACKGROUND: The mortality effects of COVID-19 are a critical aspect of the disease's impact. Years of life lost (YLLs) can provide greater insight than the number of deaths by conveying the shortfall in life expectancy and thus the age profile of the decedents. METHODS: We employed data regarding COVID-19 deaths in the USA by jurisdiction, gender and age group for the period 1 February 2020 through 11 July 2020. We used actuarial life expectancy tables by gender and age to estimate YLLs. RESULTS: We estimated roughly 1.2 million YLLs due to COVID-19 deaths. The YLLs for the top six jurisdictions exceeded those for the remaining 43. On a per-capita basis, female YLLs were generally higher than male YLLs throughout the country. CONCLUSIONS: Our estimates offer new insight into the effects of COVID-19. Our findings of heterogenous rates of YLLs by geography and gender highlight variation in the magnitude of the pandemic's effects that may inform effective policy responses.


Subject(s)
COVID-19/mortality , Life Expectancy , Actuarial Analysis , Age Factors , Female , Humans , Male , Pandemics , SARS-CoV-2 , Sex Factors , United States/epidemiology
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