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In December 2020, two COVID-19 vaccines (Pfizer-BioNTech and Moderna) were authorized for emergency use in the United States for the prevention of coronavirus disease 2019 (COVID-19).* Because of limited initial vaccine supply, the Advisory Committee on Immunization Practices (ACIP) prioritized vaccination of health care personnel and residents and staff members of long-term care facilities (LTCF) during the first phase of the U.S. COVID-19 vaccination program (1). Both vaccines require 2 doses to complete the series. Data on vaccines administered during December 14, 2020-January 14, 2021, and reported to CDC by January 26, 2021, were analyzed to describe demographic characteristics, including sex, age, and race/ethnicity, of persons who received ≥1 dose of COVID-19 vaccine (i.e., initiated vaccination). During this period, 12,928,749 persons in the United States in 64 jurisdictions and five federal entities initiated COVID-19 vaccination. Data on sex were reported for 97.0%, age for 99.9%, and race/ethnicity for 51.9% of vaccine recipients. Among persons who received the first vaccine dose and had reported demographic data, 63.0% were women, 55.0% were aged ≥50 years, and 60.4% were non-Hispanic White (White). More complete reporting of race and ethnicity data at the provider and jurisdictional levels is critical to ensure rapid detection of and response to potential disparities in COVID-19 vaccination. As the U.S. COVID-19 vaccination program expands, public health officials should ensure that vaccine is administered efficiently and equitably within each successive vaccination priority category, especially among those at highest risk for infection and severe adverse health outcomes, many of whom are non-Hispanic Black (Black), non-Hispanic American Indian/Alaska Native (AI/AN), and Hispanic persons (2,3).
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861480 | PMC |
http://dx.doi.org/10.15585/mmwr.mm7005e1 | DOI Listing |
Clin Transplant
September 2025
Cardiac Transplant Unit, La Timone Hospital, Aix-Marseille University, Marseille, France.
Pediatr Infect Dis J
September 2025
From the School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia.
Background: Obesity was a risk factor for severe COVID-19 in children during early outbreaks of ancestral SARS-CoV-2 and the Delta variant. However, the relationship between obesity and COVID-19 severity during the Omicron wave remains unclear.
Methods: This multicenter, observational study included polymerase chain r eaction-confirmed SARS-CoV-2-infected children and adolescents from Australia, Brazil, Italy, Portugal, Switzerland, Thailand, the United Kingdom and the United States hospitalized between January 1, 2020, and March 31, 2022.
Pediatr Infect Dis J
September 2025
From the Department of Pediatric Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Background: Antiviral drugs and coronavirus disease 2019 (COVID-19) vaccines have significantly reduced COVID-19-related hospitalizations and deaths in infected children. However, COVID-19 continues to pose a major mortality risk in young children. High-sensitive cardiac troponin (Hs-cTn) is a specific marker of myocardial cell damage.
View Article and Find Full Text PDFBioinformatics
September 2025
Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.
Summary: In Bayesian phylogenetic and phylodynamic studies it is common to summarise the posterior distribution of trees with a time-calibrated summary phylogeny. While the maximum clade credibility (MCC) tree is often used for this purpose, we here show that a novel summary tree method-the highest independent posterior subtree reconstruction, or HIPSTR-contains consistently higher supported clades over MCC. We also provide faster computational routines for estimating both summary trees in an updated version of TreeAnnotator X, an open-source software program that summarizes the information from a sample of trees and returns many helpful statistics such as individual clade credibilities contained in the summary tree.
View Article and Find Full Text PDFJ Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.