ArticleHeliyon2022
Déjà vu all over again: racial, ethnic and age disparities in mortality from influenza 1918-19 and COVID-19 in the United States.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Age-specific mortality patterns across influenza pandemics: evidence from all-cause mortality data across multiple populations.International journal of epidemiology · 2026Article
- Article
- State Government Policy Responses to the COVID-19 Pandemic in the United States 2020-2022: Concordant Heterogeneity?Medical research archives · 2023Article
- Verification of Psychophysiological Effects of Satoyama Activities on Older Adult Volunteers and Young People in Post-COVID-19 Society: A Case Study of Matsudo City, Japan.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Background: Examination of the mortality patterns in the United States among racial, ethnic, and age groups attributed to the 1918-19 influenza pandemic revealed stark disparities, causes for which could have been addressed and rectified this past century. However, these disparities have been amplified during the current COVID-19 pandemic.We have ignored the lessons of the past, and were destined to repeat its failings. Objectives: Compare and contrast mortality patterns by age, race, and ethnicity attributable to the 1918-19 influenza pandemic in the United States with corresponding patterns during the COVID-19 pandemic. Methods: This is a retrospective study, establishing mortality rates according to age, race and ethnicity attributable to the 1918-19 influenza pandemic in the United States and to the current COVID-19 pandemic, using mortality data published by the U.S. Public Health Service and the Centers for Disease Control and Prevention. Negative binomial regression models were used to establish rate ratios, that is, ratios of mortality rates across the various racial/ethnic groups, and associated 95% confidence intervals. Results: Mortality patterns by age differ significantly between the 1918-19 influenza pandemic and the COVID-19 pandemic: with infant and young adult (25-40 years old) mortality substantially higher in the former. Disparities in mortality between racial and ethnic groups are amplified in the COVID-19 pandemic compared to the 1918-19 experience. Conclusions: As we evaluate our nation's response to COVID-19 and design public policy to prepare better for coming pandemics, we cannot ignore the stark disparities in mortality rates experienced by different racial and ethnic groups. This will require a sustained resolve by society and government to delineate and remedy the causative factors, through science devoid of political interpretation and exploitation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.