Evidence map›Paper›PMID 39360263›Full record

ArticleFrontiers in public health2024

Tracking temporal variations of fatality and symptomology correlated with COVID-19 dominant variants and vaccine effectiveness in the United States.

Shao Lin, Han Liu, Quan Qi, Ian Trees, Donghong Gao, Samantha Friedman, Xiaobo Romeiko Xue, David Lawrence

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shao LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, United States.
Han LiuDepartment of Sociology and Demography, University of Texas at San Antonio, San Antonio, Texas.
Quan QiDepartment of Economics, University at Albany, State University of New York, Albany, NY, United States.
Ian TreesEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, United States.
Donghong GaoDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY, United States.
Samantha FriedmanDepartment of Sociology, University at Albany, State University of New York, Albany, NY, United States.
Xiaobo Romeiko XueDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, United States.
David LawrenceDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, United States.

Funding

Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategiesR01AG070949 · NIA · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2022 to 2025
$1.6M
NIA NIH HHS R01 AG070949
6 · The paper itself

Abstract

Introduction: We described how COVID-19 fatality and symptoms varied by dominant variant and vaccination in the US. Methods: Using the Restricted Access Dataset from the US CDC (1/1/2020-10/20/2022), we conducted a cross-sectional study assessing differences in COVID-19 deaths, severity indicators (hospitalization, ICU, pneumonia, abnormal X-ray, acute respiratory distress syndrome, mechanical ventilation) and 12 mild symptoms by dominant variant/vaccination periods using logistic regression after controlling for confounders. Results: We found the highest fatality during the dominant periods of Wild (4.6%) and Delta (3.4%). Most severe symptoms appeared when Delta was dominant (Rate range: 2.0-9.4%). Omicron was associated with higher mild symptoms than other variants. Vaccination showed consistent protection against death and severe symptoms for most variants (Risk Ratio range: 0.41-0.93). Boosters, especially the second, provided additional protection, reducing severe symptoms by over 50%. Discussion: This dataset may serve as a useful tool to monitor temporospatial changes of fatality and symptom for case management and surveillance.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2AdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSeverity of Illness IndexUnited StatesVaccine EfficacyCOVID-19 VaccinesboosterCOVID-19deathsdominant viral variantsmild symptomssevere symptomsvaccination

Identifiers

PMID39360263
PMCPMC11445176

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.