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1.
medrxiv; 2024.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2024.03.01.24303592

ABSTRACT

BACKGROUND. The end of the public health emergency provides an opportunity to fully describe disparities during the Covid-19 pandemic. METHODS. In this retrospective cohort analysis of US deaths during the Covid-19 public health emergency (March 2020-April 2023), all-cause excess mortality and years of potential life lost (YPLL) were calculated by race or ethnicity overall and by age groups (ages <25 years, 25-64 years, [≥]65 years). Temporal correlations with Covid-19-specific mortality were measured. RESULTS. >1.38 million all-cause excess deaths and ~23 million corresponding YPLL occurred during the pandemic. Had the rate of excess mortality observed among the White population been observed among the total population, >252,300 (18%) fewer excess deaths, and >5,192,000 fewer (22%) YPLL would have occurred. The highest excess mortality rates were among the American Indian/Alaska Native (AI/AN, 822 per 100,000; ~405,700 YPLL) and the Black (549 per 100,000; ~4,289,200 YPLL) populations. The highest relative increase in mortality was observed in the AI/AN population (1.34; 95% CI 1.31-1.37), followed by Hispanic (1.31; 95% CI 1.27-1.34), Native Hawaiian or Other Pacific Islander (1.24; 95% CI 1.21-1.27), Asian (1.20; 95% CI 1.18-1.20), Black (1.20; 95% CI 1.18-1.22) and White (1.12; 95% CI 1.09-1.15) populations. Greater disparities occurred among children and adults <65 years. CONCLUSIONS. Excess mortality occurred in all groups during the Covid-19 pandemic, with disparities by race and ethnicity, especially in younger and middle-aged populations. >252,000 and 5.2 million fewer YPLL would have been observed had increases in mortality among the total population been similar to the White population.


Subject(s)
COVID-19 , Death
2.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.12.21267663

ABSTRACT

Background: We sought to quantify whether there were statistically significant disparities along race and ethnicity lines during the early rollout of Covid-19 vaccine booster doses in the United States. We also studied whether such disparities replicated or widened disparities that had already been observed during the initial series rollout as of 2 months earlier (Janssen) or 6 months earlier (Pfizer-BioNTech or Moderna), which comprised the booster-eligible population. Methods: This cross-sectional study of US adults (ages [≥]18 years) used public data from US Centers for Disease Control and Prevention. The observed shares of vaccine doses for each race and ethnicity were compared to the expected shares, predicted based upon the compositions of the booster-eligible and initial series-eligible populations. Results: As of November 16, 2021, 123.5 million US adults were eligible for a booster dose of either the Pfizer-BioNTech, Moderna, or Janssen vaccines. Of these, 21.7 million had received a booster dose, among whom race and ethnicity information was available for 18.8 million booster recipients. A statistically significant higher share of Non-Hispanic White and Non-Hispanic Multiple/Other race individuals had received a booster vaccination than projected based on the composition of the booster-eligible population. A statistically significant lower share of Hispanic, Non-Hispanic American Indian/Alaskan Native, Non-Hispanic Asian, Non-Hispanic Black, and Non-Hispanic Native Hawaiian/Other Pacific Islander individuals had received a booster vaccination than expected based on the booster-eligible population. A secondary analysis of the booster-eligible population found that some of these disparities had already occurred at the time of the initial series. However, the booster campaign widened all of those disparities and added new disparities for Non-Hispanic American Indian/Alaskan Native and Non-Hispanic Native Hawaiian/Other Pacific Islander individuals. Conclusion: Disparities in Covid-19 vaccine administration on race and ethnicity lines occurred during the initial series rollout in the US. However, these disparities were not merely replicated but widened by the early booster rollout.


Subject(s)
COVID-19
3.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.05.07.20094250

ABSTRACT

Background: Current reporting of Covid-19 mortality data by race and ethnicity across the United States could bias our understanding of population-mortality disparities. Moreover, stark differences in age distribution by race and ethnicity groups are seldom accounted for in analyses. Methods: To address these gaps, we conducted a cross-sectional study using publicly-reported Covid-19 mortality data to assess the quality of race and ethnicity data (Black, Latinx, white), and estimated age-adjusted disparities using a random effects meta-analytic approach. Results: We found only 28 states, and NYC, reported race and ethnicity-stratified Covid-19 mortality along with large variation in the percent of missing race and ethnicity data by state. Aggregated relative risk of death estimates for Black compared to the white population was 3.57 (95% CI: 2.84-4.48). Similarly, Latinx population displayed 1.88 (95% CI: 1.61-2.19) times higher risk of death than white patients. Discussion: In states providing race and ethnicity data, we identified significant population-level Covid-19 mortality disparities. We demonstrated the importance of adjusting for age differences across population groups to prevent underestimating disparities in younger population groups. The availability of high-quality and comprehensive race and ethnicity data is necessary to address factors contributing to inequity in Covid-19 mortality.


Subject(s)
COVID-19 , Death
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