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Ahrens KA, Rossen LM, Milkowski C, Gelsinger C, Ziller E. Excess deaths associated with COVID-19 by rurality and demographic factors in the United States. J Rural Health 2024; 40:491-499. [PMID: 38082546 PMCID: PMC11164822 DOI: 10.1111/jrh.12815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/21/2023] [Accepted: 11/30/2023] [Indexed: 06/12/2024]
Abstract
PURPOSE To estimate percent excess deaths during the COVID-19 pandemic by rural-urban residence in the United States and to describe rural-urban disparities by age, sex, and race/ethnicity. METHODS Using US mortality data, we used overdispersed Poisson regression models to estimate monthly expected death counts by rurality of residence, age group, sex, and race/ethnicity, and compared expected death counts with observed deaths. We then summarized excess deaths over 6 6-month time periods. FINDINGS There were 16.9% (95% confidence interval [CI]: 16.8, 17.0) more deaths than expected between March 2020 and February 2023. The percent excess varied by rurality (large central metro: 18.2% [18.1, 18.4], large fringe metro: 15.6% [15.5, 15.8], medium metro: 18.1% [18.0, 18.3], small metro: 15.5% [15.3, 15.7], micropolitan rural: 16.3% [16.1, 16.5], and noncore rural: 15.8% [15.6, 16.1]). The percent excess deaths were 20.2% (20.1, 20.3) for males and 13.6% (13.5, 13.7) for females, and highest for Hispanic persons (49% [49.0, 49.6]), followed by non-Hispanic Black persons (28% [27.5, 27.9]) and non-Hispanic White persons (12% [11.6, 11.8]). The 6-month time periods with the highest percent excess deaths for large central metro areas were March 2020-August 2020 and September 2020-February 2021; for all other areas, these time periods were September 2020-February 2021 and September 2021-February 2022. CONCLUSION Percent excess deaths varied by rurality, age group, sex, race/ethnicity, and time period. Monitoring excess deaths by rurality may be useful in assessing the impact of the pandemic over time, as rural-urban patterns appear to differ.
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Affiliation(s)
- Katherine A. Ahrens
- Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA
| | - Lauren M. Rossen
- National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA
| | - Carly Milkowski
- Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA
| | - Catherine Gelsinger
- Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA
| | - Erika Ziller
- Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA
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Paglino E, Lundberg DJ, Wrigley-Field E, Zhou Z, Wasserman JA, Raquib R, Chen YH, Hempstead K, Preston SH, Elo IT, Glymour MM, Stokes AC. Excess natural-cause mortality in US counties and its association with reported COVID-19 deaths. Proc Natl Acad Sci U S A 2024; 121:e2313661121. [PMID: 38300867 PMCID: PMC10861891 DOI: 10.1073/pnas.2313661121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 12/06/2023] [Indexed: 02/03/2024] Open
Abstract
In the United States, estimates of excess deaths attributable to the COVID-19 pandemic have consistently surpassed reported COVID-19 death counts. Excess deaths reported to non-COVID-19 natural causes may represent unrecognized COVID-19 deaths, deaths caused by pandemic health care interruptions, and/or deaths from the pandemic's socioeconomic impacts. The geographic and temporal distribution of these deaths may help to evaluate which explanation is most plausible. We developed a Bayesian hierarchical model to produce monthly estimates of excess natural-cause mortality for US counties over the first 30 mo of the pandemic. From March 2020 through August 2022, 1,194,610 excess natural-cause deaths occurred nationally [90% PI (Posterior Interval): 1,046,000 to 1,340,204]. A total of 162,886 of these excess natural-cause deaths (90% PI: 14,276 to 308,480) were not reported to COVID-19. Overall, 15.8 excess deaths were reported to non-COVID-19 natural causes for every 100 reported COVID-19 deaths. This number was greater in nonmetropolitan counties (36.0 deaths), the West (Rocky Mountain states: 31.6 deaths; Pacific states: 25.5 deaths), and the South (East South Central states: 26.0 deaths; South Atlantic states: 25.0 deaths; West South Central states: 24.2 deaths). In contrast, reported COVID-19 death counts surpassed estimates of excess natural-cause deaths in metropolitan counties in the New England and Middle Atlantic states. Increases in reported COVID-19 deaths correlated temporally with increases in excess deaths reported to non-COVID-19 natural causes in the same and/or prior month. This suggests that many excess deaths reported to non-COVID-19 natural causes during the first 30 mo of the pandemic in the United States were unrecognized COVID-19 deaths.
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Affiliation(s)
- Eugenio Paglino
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA19104
| | - Dielle J. Lundberg
- Department of Global Health, Boston University School of Public Health, Boston, MA02118
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA98195
| | - Elizabeth Wrigley-Field
- Department of Sociology and Minnesota Population Center, University of Minnesota, Minneapolis, MN55455
| | - Zhenwei Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA02118
| | | | - Rafeya Raquib
- Department of Global Health, Boston University School of Public Health, Boston, MA02118
| | - Yea-Hung Chen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA94158
| | | | - Samuel H. Preston
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA19104
| | - Irma T. Elo
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA19104
| | - M. Maria Glymour
- Department of Epidemiology, Boston University School of Public Health, Boston, MA02118
| | - Andrew C. Stokes
- Department of Global Health, Boston University School of Public Health, Boston, MA02118
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Abstract
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2020) and mortality data collected by the National Center for Health Statistics (through 2021). In 2024, 2,001,140 new cancer cases and 611,720 cancer deaths are projected to occur in the United States. Cancer mortality continued to decline through 2021, averting over 4 million deaths since 1991 because of reductions in smoking, earlier detection for some cancers, and improved treatment options in both the adjuvant and metastatic settings. However, these gains are threatened by increasing incidence for 6 of the top 10 cancers. Incidence rates increased during 2015-2019 by 0.6%-1% annually for breast, pancreas, and uterine corpus cancers and by 2%-3% annually for prostate, liver (female), kidney, and human papillomavirus-associated oral cancers and for melanoma. Incidence rates also increased by 1%-2% annually for cervical (ages 30-44 years) and colorectal cancers (ages <55 years) in young adults. Colorectal cancer was the fourth-leading cause of cancer death in both men and women younger than 50 years in the late-1990s but is now first in men and second in women. Progress is also hampered by wide persistent cancer disparities; compared to White people, mortality rates are two-fold higher for prostate, stomach and uterine corpus cancers in Black people and for liver, stomach, and kidney cancers in Native American people. Continued national progress will require increased investment in cancer prevention and access to equitable treatment, especially among American Indian and Alaska Native and Black individuals.
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Affiliation(s)
- Rebecca L Siegel
- Surveillance Research, American Cancer Society, Atlanta, Georgia, USA
| | | | - Ahmedin Jemal
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA
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4
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Weinberger DM, Bhaskaran K, Korves C, Lucas BP, Columbo JA, Vashi A, Davies L, Justice AC, Rentsch CT. Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study. Int J Epidemiol 2023; 52:1725-1734. [PMID: 37802889 PMCID: PMC10749763 DOI: 10.1093/ije/dyad136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/20/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND Most analyses of excess mortality during the COVID-19 pandemic have employed aggregate data. Individual-level data from the largest integrated healthcare system in the US may enhance understanding of excess mortality. METHODS We performed an observational cohort study following patients receiving care from the Department of Veterans Affairs (VA) between 1 March 2018 and 28 February 2022. We estimated excess mortality on an absolute scale (i.e. excess mortality rates, number of excess deaths) and a relative scale by measuring the hazard ratio (HR) for mortality comparing pandemic and pre-pandemic periods, overall and within demographic and clinical subgroups. Comorbidity burden and frailty were measured using the Charlson Comorbidity Index and Veterans Aging Cohort Study Index, respectively. RESULTS Of 5 905 747 patients, the median age was 65.8 years and 91% were men. Overall, the excess mortality rate was 10.0 deaths/1000 person-years (PY), with a total of 103 164 excess deaths and pandemic HR of 1.25 (95% CI 1.25-1.26). Excess mortality rates were highest among the most frail patients (52.0/1000 PY) and those with the highest comorbidity burden (16.3/1000 PY). However, the largest relative mortality increases were observed among the least frail (HR 1.31, 95% CI 1.30-1.32) and those with the lowest comorbidity burden (HR 1.44, 95% CI 1.43-1.46). CONCLUSIONS Individual-level data offered crucial clinical and operational insights into US excess mortality patterns during the COVID-19 pandemic. Notable differences emerged among clinical risk groups, emphasizing the need for reporting excess mortality in both absolute and relative terms to inform resource allocation in future outbreaks.
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Affiliation(s)
- Daniel M Weinberger
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, USA
| | - Krishnan Bhaskaran
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Caroline Korves
- Department of Veterans Affairs Medical Center, Clinical Epidemiology Program, White River Junction, VT, USA
| | - Brian P Lucas
- Department of Veterans Affairs Medical Center, VA Outcomes Group, White River Junction, VT, USA
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Jesse A Columbo
- Department of Veterans Affairs Medical Center, VA Outcomes Group, White River Junction, VT, USA
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Section of Vascular Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | - Anita Vashi
- Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA
- Department of Emergency Medicine, University of California, San Francisco, CA, USA
| | - Louise Davies
- Department of Veterans Affairs Medical Center, VA Outcomes Group, White River Junction, VT, USA
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Surgery—Otolaryngology Head & Neck Surgery, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Amy C Justice
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Veterans Affairs, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Christopher T Rentsch
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Veterans Affairs, VA Connecticut Healthcare System, West Haven, CT, USA
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5
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Smith TE, Ledneva T, Cohen DE, Ramsey KS, Bauer MJ, Carruthers J, Conroy MB, Dreslin SR, Friedrich M, Sun M, Gould MS, Schoenbaum M, Olfson M. Ethnoracial Disparities in Rates of Non-Natural Causes of Death After the 2020 COVID-19 Outbreak in New York State. AJPM FOCUS 2023; 2:100151. [PMID: 37965496 PMCID: PMC10641108 DOI: 10.1016/j.focus.2023.100151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Introduction COVID-19 was associated with increases in non-natural cause mortality in the U.S., including deaths due to drug overdose, homicide, and motor vehicle crashes. Initial reports indicated higher rates of non-natural mortality among ethnoracial minority groups. This report aims to clarify these disparities by documenting trends in non-natural mortality across ethnoracial groups during the 2020 COVID-19 surge in New York State. Methods We report monthly trends in non-natural cause mortality (overall and stratified by ethnoracial status) in New York State from January 2019 through December 2020, which included the COVID-19 onset in March 2020. Results Total mean monthly unintentional overdose rates per 100,000 increased from 17.45 (before surge: January 2019-February 2020) to 23.19 (after surge: March 2020-December 2020) (mean difference=5.73, 95% CI=3.82, 7.65; p<0.001). Mean monthly homicide death rates increased from 2.34 before surge to 3.55 after surge (mean difference=1.20, 95% CI=0.60, 1.81; p<0.001), with the increase seen primarily in the non-Latinx Black population. Although increasing unintentional overdose death rates before surge equally affected non-Latinx White, Latinx, and non-Latinx Black persons, they remained high for non-Latinx Black persons but dropped for the other 2 groups after the pandemic onset. None of the ethnoracial subgroups showed significant increases in suicide or motor vehicle crash death rates. Conclusions Non-Latinx Black persons showed disproportionately high and sustained increased rates of unintentional overdose and homicide death rates after the 2020 COVID-19 surge in New York State. Fatality review and death scene investigation research is needed to better understand these disparities.
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Affiliation(s)
| | | | - Dana E. Cohen
- New York State Office of Mental Health, Albany, New York
| | - Kelly S. Ramsey
- New York State Office of Addiction Services and Supports, Albany, New York
| | | | - Jay Carruthers
- New York State Office of Mental Health, Albany, New York
| | | | | | | | - Mingzeng Sun
- New York State Department of Health, Albany, New York
| | | | | | - Mark Olfson
- New York State Psychiatric Institute, New York, New York
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Luck AN, Elo IT, Preston SH, Paglino E, Hempstead K, Stokes AC. COVID-19 and All-Cause Mortality by Race, Ethnicity, and Age Across Five Periods of the Pandemic in the United States. POPULATION RESEARCH AND POLICY REVIEW 2023; 42:71. [PMID: 37780841 PMCID: PMC10540502 DOI: 10.1007/s11113-023-09817-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 07/14/2023] [Indexed: 10/03/2023]
Abstract
Racial/ethnic and age disparities in COVID-19 and all-cause mortality during 2020 are well documented, but less is known about their evolution over time. We examine changes in age-specific mortality across five pandemic periods in the United States from March 2020 to December 2022 among four racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) for ages 35+. We fit Gompertz models to all-cause and COVID-19 death rates by 5-year age groups and construct age-specific racial/ethnic mortality ratios across an Initial peak (Mar-Aug 2020), Winter peak (Nov 2020-Feb 2021), Delta peak (Aug-Oct 2021), Omicron peak (Nov 2021-Feb 2022), and Endemic period (Mar-Dec 2022). We then compare to all-cause patterns observed in 2019. The steep age gradients in COVID-19 mortality in the Initial and Winter peak shifted during the Delta peak, with substantial increases in mortality at working ages, before gradually returning to an older age pattern in the subsequent periods. We find a disproportionate COVID-19 mortality burden on racial and ethnic minority populations early in the pandemic, which led to an increase in all-cause mortality disparities and a temporary elimination of the Hispanic mortality advantage at certain age groups. Mortality disparities narrowed over time, with racial/ethnic all-cause inequalities during the Endemic period generally returning to pre-pandemic levels. Black and Hispanic populations, however, faced a younger age gradient in all-cause mortality in the Endemic period relative to 2019, with younger Hispanic and Black adults in a slightly disadvantageous position and older Black adults in a slightly advantageous position, relative to before the pandemic.
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Affiliation(s)
- Anneliese N. Luck
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, USA
| | - Irma T. Elo
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, USA
| | - Samuel H. Preston
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, USA
| | - Eugenio Paglino
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, USA
| | | | - Andrew C. Stokes
- Department of Global Health, Boston University School of Public Health, Boston, USA
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7
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Lawrence WR, Freedman ND, McGee-Avila JK, Berrington de González A, Chen Y, Emerson MA, Gee GC, Haozous EA, Haque AT, Inoue-Choi M, Jackson SS, Lord B, Nápoles AM, Pérez-Stable EJ, Vo JB, Williams F, Shiels MS. Trends in Mortality From Poisonings, Firearms, and All Other Injuries by Intent in the US, 1999-2020. JAMA Intern Med 2023; 183:849-856. [PMID: 37399025 PMCID: PMC10318548 DOI: 10.1001/jamainternmed.2023.2509] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/30/2023] [Indexed: 07/04/2023]
Abstract
Importance Although deaths due to external causes are a leading cause of mortality in the US, trends over time by intent and demographic characteristics remain poorly understood. Objective To examine national trends in mortality rates due to external causes from 1999 to 2020 by intent (homicide, suicide, unintentional, and undetermined) and demographic characteristics. External causes were defined as poisonings (eg, drug overdose), firearms, and all other injuries, including motor vehicle injuries and falls. Given the repercussions of the COVID-19 pandemic, US death rates for 2019 and 2020 were also compared. Design, Setting, and Participants Serial cross-sectional study using national death certificate data obtained from the National Center for Health Statistics and including all external causes of 3 813 894 deaths among individuals aged 20 years or older from January 1, 1999, to December 31, 2020. Data analysis was conducted from January 20, 2022, to February 5, 2023. Exposures Age, sex, and race and ethnicity. Main Outcomes and Measures Trends in age-standardized mortality rates and average annual percentage change (AAPC) in rates calculated by intent (suicide, homicide, unintentional, and undetermined), age, sex, and race and ethnicity for each external cause. Results Between 1999 and 2020, there were 3 813 894 deaths due to external causes in the US. From 1999 to 2020, poisoning death rates increased annually (AAPC, 7.0%; 95% CI, 5.4%-8.7%). From 2014 to 2020, poisoning death rates increased the most among men (APC, 10.8%; 95% CI, 7.7%-14.0%). During the study period, poisoning death rates increased in all the racial and ethnic groups examined; the most rapid increase was among American Indian and Alaska Native individuals (AAPC, 9.2%; 95% CI, 7.4%-10.9%). During the study period, death rates for unintentional poisoning had the most rapid rate of increase (AAPC, 8.1%; 95% CI, 7.4%-8.9%). From 1999 to 2020, firearm death rates increased (AAPC, 1.1%; 95% CI, 0.7%-1.5%). From 2013 to 2020, firearm mortality increased by an average of 4.7% annually (95% CI, 2.9%-6.5%) among individuals aged 20 to 39 years. From 2014 to 2020, mortality from firearm homicides increased by an average of 6.9% annually (95% CI, 3.5%-10.4%). From 2019 to 2020, mortality rates from external causes accelerated further, largely from increases in unintentional poisoning, and homicide due to firearms and all other injuries. Conclusions and Relevance Results of this cross-sectional study suggest that from 1999 to 2020, death rates due to poisonings, firearms, and all other injuries increased substantially in the US. The rapid increase in deaths due to unintentional poisonings and firearm homicides is a national emergency that requires urgent public health interventions at the local and national levels.
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Affiliation(s)
- Wayne R. Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Jennifer K. McGee-Avila
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Amy Berrington de González
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Yingxi Chen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Marc A. Emerson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill
| | - Gilbert C. Gee
- Department of Community Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles
| | - Emily A. Haozous
- Pacific Institute for Research and Evaluation, Albuquerque, New Mexico
| | - Anika T. Haque
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Maki Inoue-Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Sarah S. Jackson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Brittany Lord
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Anna M. Nápoles
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Eliseo J. Pérez-Stable
- Office of the Director, National Institute on Minority Health and Health Disparities, Bethesda, Maryland
| | - Jacqueline B. Vo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Faustine Williams
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Meredith S. Shiels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
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8
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Weinberger DM, Bhaskaran K, Korves C, Lucas BP, Columbo JA, Vashi A, Davies L, Justice AC, Rentsch CT. Absolute and relative excess mortality across demographic and clinical subgroups during the COVID-19 pandemic: an individual-level cohort study from a nationwide healthcare system of US Veterans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.12.23289900. [PMID: 37293086 PMCID: PMC10246058 DOI: 10.1101/2023.05.12.23289900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Most analyses of excess mortality during the COVID-19 pandemic have employed aggregate data. Individual-level data from the largest integrated healthcare system in the US may enhance understanding of excess mortality. Methods We performed an observational cohort study following patients receiving care from the Department of Veterans Affairs (VA) between 1 March 2018 and 28 February 2022. We estimated excess mortality on an absolute scale (i.e., excess mortality rates, number of excess deaths), and a relative scale by measuring the hazard ratio (HR) for mortality comparing pandemic and pre-pandemic periods, overall, and within demographic and clinical subgroups. Comorbidity burden and frailty were measured using the Charlson Comorbidity Index and Veterans Aging Cohort Study Index, respectively. Results Of 5,905,747 patients, median age was 65.8 years and 91% were men. Overall, the excess mortality rate was 10.0 deaths/1000 person-years (PY), with a total of 103,164 excess deaths and pandemic HR of 1.25 (95% CI 1.25-1.26). Excess mortality rates were highest among the most frail patients (52.0/1000 PY) and those with the highest comorbidity burden (16.3/1000 PY). However, the largest relative mortality increases were observed among the least frail (HR 1.31, 95% CI 1.30-1.32) and those with the lowest comorbidity burden (HR 1.44, 95% CI 1.43-1.46). Conclusions Individual-level data offered crucial clinical and operational insights into US excess mortality patterns during the COVID-19 pandemic. Notable differences emerged among clinical risk groups, emphasising the need for reporting excess mortality in both absolute and relative terms to inform resource allocation in future outbreaks.
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Affiliation(s)
- Daniel M. Weinberger
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, US
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, US
| | - Krishnan Bhaskaran
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Caroline Korves
- Clinical Epidemiology Program, Department of Veterans Affairs Medical Center, White River Junction, VT
| | - Brian P. Lucas
- VA Outcomes Group, Department of Veterans Affairs Medical Center, White River Junction, VT, US
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, US
| | - Jesse A. Columbo
- VA Outcomes Group, Department of Veterans Affairs Medical Center, White River Junction, VT, US
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, US
- Section of Vascular Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, US
| | - Anita Vashi
- Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, US
- Department of Emergency Medicine, University of California, San Francisco, CA, US
| | - Louise Davies
- VA Outcomes Group, Department of Veterans Affairs Medical Center, White River Junction, VT, US
- The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, US
- Department of Surgery - Otolaryngology Head & Neck Surgery, Geisel School of Medicine at Dartmouth, Hanover, NH, US
| | - Amy C. Justice
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, US
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US
- VA Connecticut Healthcare System, Department of Veterans Affairs, West Haven, CT, US
| | - Christopher T. Rentsch
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US
- VA Connecticut Healthcare System, Department of Veterans Affairs, West Haven, CT, US
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9
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Luck AN, Stokes AC, Hempstead K, Paglino E, Preston SH. Associations between mortality from COVID-19 and other causes: A state-level analysis. PLoS One 2023; 18:e0281683. [PMID: 36877692 PMCID: PMC9987806 DOI: 10.1371/journal.pone.0281683] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 01/17/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND During the COVID-19 pandemic, the high death toll from COVID-19 was accompanied by a rise in mortality from other causes of death. The objective of this study was to identify the relationship between mortality from COVID-19 and changes in mortality from specific causes of death by exploiting spatial variation in these relationships across US states. METHODS We use cause-specific mortality data from CDC Wonder and population estimates from the US Census Bureau to examine relationships at the state level between mortality from COVID-19 and changes in mortality from other causes of death. We calculate age-standardized death rates (ASDR) for three age groups, nine underlying causes of death, and all 50 states and the District of Columbia between the first full year of the pandemic (March 2020-February 2021) and the year prior (March 2019-February 2020). We then estimate the relationship between changes in cause-specific ASDR and COVID-19 ASDR using linear regression analysis weighted by the size of the state's population. RESULTS We estimate that causes of death other than COVID-19 represent 19.6% of the total mortality burden associated with COVID-19 during the first year of the COVID-19 pandemic. At ages 25+, circulatory disease accounted for 51.3% of this burden while dementia (16.4%), other respiratory diseases (12.4%), influenza/pneumonia (8.7%) and diabetes (8.6%) also contribute. In contrast, there was an inverse association across states between COVID-19 death rates and changes in death rates from cancer. We found no state-level association between COVID-19 mortality and rising mortality from external causes. CONCLUSIONS States with unusually high death rates from COVID-19 experienced an even larger mortality burden than implied by those rates alone. Circulatory disease served as the most important route through which COVID-19 mortality affected death rates from other causes of death. Dementia and other respiratory diseases made the second and third largest contributions. In contrast, mortality from neoplasms tended to decline in states with the highest death rates from COVID-19. Such information may help to inform state-level responses aimed at easing the full mortality burden of the COVID-19 pandemic.
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Affiliation(s)
- Anneliese N. Luck
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Andrew C. Stokes
- Department of Global Health, Boston University School of Public Health, Boston, MA, United States of America
| | | | - Eugenio Paglino
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Samuel H. Preston
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America
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10
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Paglino E, Lundberg DJ, Zhou Z, Wasserman JA, Raquib R, Hempstead K, Preston SH, Elo IT, Stokes AC. Differences Between Reported COVID-19 Deaths and Estimated Excess Deaths in Counties Across the United States, March 2020 to February 2022. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.16.23284633. [PMID: 36712059 PMCID: PMC9882565 DOI: 10.1101/2023.01.16.23284633] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Accurate and timely tracking of COVID-19 deaths is essential to a well-functioning public health surveillance system. The extent to which official COVID-19 death tallies have captured the true toll of the pandemic in the United States is unknown. In the current study, we develop a Bayesian hierarchical model to estimate monthly excess mortality in each county over the first two years of the pandemic and compare these estimates to the number of deaths officially attributed to Covid-19 on death certificates. Overall, we estimated that 268,176 excess deaths were not reported as Covid-19 deaths during the first two years of the Covid-19 pandemic, which represented 23.7% of all excess deaths that occurred. Differences between excess deaths and reported COVID-19 deaths were substantial in both the first and second year of the pandemic. Excess deaths were less likely to be reported as COVID-19 deaths in the Mountain division, in the South, and in nonmetro counties. The number of excess deaths exceeded COVID-19 deaths in all Census divisions except for the New England and Middle Atlantic divisions where there were more COVID-19 deaths than excess deaths in large metro areas and medium or small metro areas. Increases in excess deaths not assigned to COVID-19 followed similar patterns over time to increases in reported COVID-19 deaths and typically preceded or occurred concurrently with increases in reported COVID-19 deaths. Estimates from this study can be used to inform targeting of resources to areas in which the true toll of the COVID-19 pandemic has been underestimated.
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Affiliation(s)
- Eugenio Paglino
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA
| | - Dielle J. Lundberg
- Department of Global Health, Boston University School of Public Health, Boston, MA
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA
| | - Zhenwei Zhou
- Department of Global Health, Boston University School of Public Health, Boston, MA
| | | | - Rafeya Raquib
- Department of Global Health, Boston University School of Public Health, Boston, MA
| | | | - Samuel H. Preston
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA
| | - Irma T. Elo
- Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA
| | - Andrew C. Stokes
- Department of Global Health, Boston University School of Public Health, Boston, MA
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Strassle PD, Ko JS, Ponder M, Nápoles AM, Kinlaw AC, Schiro SE. Impact of COVID-related policies on gunshot wound assault hospitalizations in the United States: a statewide time series analysis. Inj Epidemiol 2023; 10:2. [PMID: 36624533 PMCID: PMC9829223 DOI: 10.1186/s40621-022-00412-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 12/21/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND The CDC recently reported that firearm homicide rates in the United States increased in 2020, particularly among Black/African American individuals and men 25-44 years old. It is unclear whether firearm hospitalizations also increased, and more importantly, what impact the COVID-19 pandemic and COVID-related policies had. Using the North Carolina Trauma Registry, a statewide registry of trauma admissions to eighteen North Carolina hospitals, we calculated weekly GSW hospitalization rates from 1/2019 to 12/2020, overall and stratified by race-ethnicity, age, and sex. Interrupted time-series design and segmented linear regression were used to estimate changes in weekly hospitalization rates over time after (1) U.S. declaration of a public health emergency; (2) statewide Stay-at-Home order; (3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and (4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Non-GSW assault hospitalizations were used as a control to assess whether trends were observed across all assault hospitalizations or if effects were specific to gun violence. FINDINGS Overall, 47.3% (n = 3223) of assault hospitalizations were GSW. Among GSW hospitalizations, median age was 27 years old (interquartile range [IQR] 21-25), 86.2% were male, and 49.5% occurred after the U.S. declared a public health emergency. After the Stay-at-Home order was implemented, weekly GSW hospitalization rates began increasing substantially among Black/African American residents (weekly trend change = 0.775, 95% CI = 0.254 to 1.296), peaking at an average 15.6 hospitalizations per 1,000,000 residents. Weekly hospitalization rates declined after restrictions were lifted but remained elevated compared to pre-COVID levels in this group (average weekly rate 10.6 per 1,000,000 at the end of 2020 vs. 8.9 per 1,000,000 pre-pandemic). The Stay-at-Home order was also associated with increasing GSW hospitalization rates among males 25-44 years old (weekly trend change = 1.202, 95% CI = 0.631 to 1.773); rates also remained elevated among 25-44-year-old males after restrictions were lifted in 2020 (average weekly rate 10.1 vs. 7.9 per 1,000,000). Non-GSW hospitalization rates were relatively stable in 2020. CONCLUSIONS The COVID-19 pandemic and statewide Stay-at-Home orders appeared to have placed Black/African American residents and men ages 25-44 at higher risk for GSW hospitalizations, exacerbating pre-existing disparities. Persistent gun violence disparities must be addressed.
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Affiliation(s)
- Paula D. Strassle
- grid.281076.a0000 0004 0533 8369Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD USA
| | - Jamie S. Ko
- grid.281076.a0000 0004 0533 8369Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD USA
| | - Madison Ponder
- grid.10698.360000000122483208Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Anna María Nápoles
- grid.281076.a0000 0004 0533 8369Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD USA
| | - Alan C. Kinlaw
- grid.10698.360000000122483208Division of Pharmaceutical Outcomes and Policy, University of North Carolina School of Pharmacy, Chapel Hill, NC USA ,grid.10698.360000000122483208Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Sharon E. Schiro
- grid.10698.360000000122483208Division of General, Acute Care, and Trauma Surgery, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
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12
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Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin 2023; 73:17-48. [PMID: 36633525 DOI: 10.3322/caac.21763] [Citation(s) in RCA: 4644] [Impact Index Per Article: 4644.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 10/14/2022] [Indexed: 01/13/2023] Open
Abstract
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries and mortality data collected by the National Center for Health Statistics. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. Cancer incidence increased for prostate cancer by 3% annually from 2014 through 2019 after two decades of decline, translating to an additional 99,000 new cases; otherwise, however, incidence trends were more favorable in men compared to women. For example, lung cancer in women decreased at one half the pace of men (1.1% vs. 2.6% annually) from 2015 through 2019, and breast and uterine corpus cancers continued to increase, as did liver cancer and melanoma, both of which stabilized in men aged 50 years and older and declined in younger men. However, a 65% drop in cervical cancer incidence during 2012 through 2019 among women in their early 20s, the first cohort to receive the human papillomavirus vaccine, foreshadows steep reductions in the burden of human papillomavirus-associated cancers, the majority of which occur in women. Despite the pandemic, and in contrast with other leading causes of death, the cancer death rate continued to decline from 2019 to 2020 (by 1.5%), contributing to a 33% overall reduction since 1991 and an estimated 3.8 million deaths averted. This progress increasingly reflects advances in treatment, which are particularly evident in the rapid declines in mortality (approximately 2% annually during 2016 through 2020) for leukemia, melanoma, and kidney cancer, despite stable/increasing incidence, and accelerated declines for lung cancer. In summary, although cancer mortality rates continue to decline, future progress may be attenuated by rising incidence for breast, prostate, and uterine corpus cancers, which also happen to have the largest racial disparities in mortality.
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Affiliation(s)
- Rebecca L Siegel
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA
| | - Kimberly D Miller
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA
| | - Nikita Sandeep Wagle
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA
| | - Ahmedin Jemal
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA
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Quandt SA, Smith SA, Talton JW, Chen H, Laurienti PJ, Arcury TA. Change and Continuity in Preventive Practices Across the COVID-19 Pandemic Among Rural and Urban Latinx Immigrant Worker Families. HYGIENE (BASEL, SWITZERLAND) 2022; 2:200-211. [PMID: 36465586 PMCID: PMC9704367 DOI: 10.3390/hygiene2040018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
BACKGROUND (1)The COVID-19 pandemic has put essential workers at high risk for contracting the disease. This study documents situational compliance with public health recommendations such as masking and social distancing among rural and urban Latinx families, with the goal of understanding change over time in COVID-19 risk reduction behaviors. METHODS (2)Respondents for 67 rural families and 44 urban families responded to repeated telephone surveys at three time points in the first year of the pandemic, providing data on use of masks and social distancing by themselves and family members while interacting with others at home, work, and in the community. Cumulative logistic regression models were employed to compare changes in risk behaviors between rural and urban groups over time. RESULTS (3)While group descriptive results indicated behaviors that posed low risk at each time point, regression models revealed greater change between time points for rural than urban residents. Rural residents also had gendered patterns. CONCLUSIONS (4)Patterns of change appear to reflect structural issues such as seasonal labor demand and gender roles more than pandemic fatigue or changing public health recommendations. The findings suggest that structural factors play a role in individuals complying with public health prevention measures for COVID-19.
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Affiliation(s)
- Sara A Quandt
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Sydney A Smith
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Jennifer W Talton
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Haiying Chen
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Paul J Laurienti
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Thomas A Arcury
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
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Brown TH, Kamis C, Homan P. Empirical evidence on structural racism as a driver of racial inequities in COVID-19 mortality. Front Public Health 2022; 10:1007053. [PMID: 36483257 PMCID: PMC9723349 DOI: 10.3389/fpubh.2022.1007053] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 10/20/2022] [Indexed: 11/23/2022] Open
Abstract
Objective This study contributes to the literature by empirically testing the extent to which place-based structural racism is a driver of state-level racial inequalities in COVID-19 mortality using theoretically-informed, innovative approaches. Methods CDC data are used to measure cumulative COVID-19 death rates between January 2020 and August 2022. The outcome measure is a state-level Black-White (B/W) ratio of age-adjusted death rates. We use state-level 2019 administrative data on previously validated indicators of structural racism spanning educational, economic, political, criminal-legal and housing to identify a novel, multi-sectoral latent measure of structural racism (CFI = 0.982, TLI = 0.968, and RMSEA = 0.044). We map B/W inequalities in COVID-19 mortality as well as the latent measure of structural racism in order to understand their geographic distribution across U.S. states. Finally, we use regression analyses to estimate the extent to which structural racism contributes to Black-White inequalities in COVID-19 mortality, net of potential confounders. Results Results reveal substantial state-level variation in the B/W ratio of COVID-19 death rates and structural racism. Notably, regression estimates indicate that the relationship between the structural racism and B/W inequality in COVID-19 mortality is positive and statistically significant (p < 0.001), both in the bivariate model (adjusted R2 = 0.37) and net of the covariates (adjusted R2 = 0.54). For example, whereas states with a structural racism value 2 standard deviation below the mean have a B/W ratio of approximately 1.12, states with a structural racism value 2 standard deviation above the mean have a ratio of just above 2.0. Discussion Findings suggest that efficacious health equity solutions will require bold policies that dismantle structural racism across numerous societal domains.
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Affiliation(s)
- Tyson H. Brown
- Department of Sociology, Duke University, Durham, NC, United States
| | - Christina Kamis
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, United States
| | - Patricia Homan
- Department of Sociology, Florida State University, Tallahassee, FL, United States
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15
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Aschmann HE, Riley AR, Chen R, Chen YH, Bibbins-Domingo K, Stokes AC, Glymour MM, Kiang MV. Dynamics of racial disparities in all-cause mortality during the COVID-19 pandemic. Proc Natl Acad Sci U S A 2022; 119:e2210941119. [PMID: 36126098 PMCID: PMC9546535 DOI: 10.1073/pnas.2210941119] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/12/2022] [Indexed: 11/18/2022] Open
Abstract
As research documenting disparate impacts of COVID-19 by race and ethnicity grows, little attention has been given to dynamics in mortality disparities during the pandemic and whether changes in disparities persist. We estimate age-standardized monthly all-cause mortality in the United States from January 2018 through February 2022 for seven racial/ethnic populations. Using joinpoint regression, we quantify trends in race-specific rate ratios relative to non-Hispanic White mortality to examine the magnitude of pandemic-related shifts in mortality disparities. Prepandemic disparities were stable from January 2018 through February 2020. With the start of the pandemic, relative mortality disadvantages increased for American Indian or Alaska Native (AIAN), Native Hawaiian or other Pacific Islander (NHOPI), and Black individuals, and relative mortality advantages decreased for Asian and Hispanic groups. Rate ratios generally increased during COVID-19 surges, with different patterns in the summer 2021 and winter 2021/2022 surges, when disparities approached prepandemic levels for Asian and Black individuals. However, two populations below age 65 fared worse than White individuals during these surges. For AIAN people, the observed rate ratio reached 2.25 (95% CI = 2.14, 2.37) in October 2021 vs. a prepandemic mean of 1.74 (95% CI = 1.62, 1.86), and for NHOPI people, the observed rate ratio reached 2.12 (95% CI = 1.92, 2.33) in August 2021 vs. a prepandemic mean of 1.31 (95% CI = 1.13, 1.49). Our results highlight the dynamic nature of racial/ethnic disparities in mortality and raise alarm about the exacerbation of mortality inequities for Indigenous groups due to the pandemic.
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Affiliation(s)
- Hélène E. Aschmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158
| | - Alicia R. Riley
- Department of Sociology, University of California, Santa Cruz, Santa Cruz, CA 95064
| | - Ruijia Chen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158
| | - Yea-Hung Chen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158
| | - Andrew C. Stokes
- Department of Global Health, Boston University School of Public Health, Boston, MA 02118
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158
| | - Mathew V. Kiang
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304
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16
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Ling I, Del Rosario M, Gross CP. The COVID-19 Pandemic and Racial and Ethnic Disparities in Estimated Excess Mortality From External Causes. JAMA Intern Med 2022; 182:778-779. [PMID: 35532904 DOI: 10.1001/jamainternmed.2022.1472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Irving Ling
- Department of Medicine, UCSF School of Medicine, San Francisco, California
| | - Mithi Del Rosario
- Department of Medicine, UCSF School of Medicine, San Francisco, California
| | - Cary P Gross
- Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut
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17
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Cochrun SL, Marrazzo J. Surgery during the COVID-19 pandemic: Don't wait to vaccinate. Am J Surg 2022; 224:1095-1096. [PMID: 35680459 PMCID: PMC9130312 DOI: 10.1016/j.amjsurg.2022.05.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 05/22/2022] [Indexed: 12/12/2022]
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