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| http://dx.doi.org/10.1016/j.jaad.2020.04.046 | DOI Listing |
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Racial/ethnic differences in post-acute sequelae of SARS-CoV-2 in children and adolescents in the United States.
Nat Commun
January 2025
The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Racial/ethnic differences are associated with the symptoms and conditions of post-acute sequelae SARS-CoV-2 infection (PASC) in adults. These differences may exist among children and warrant further exploration. We conducted a retrospective cohort study with difference-in-differences analyzes to assess these differences in children and adolescents under the age of 21.
View Article and Find Full Text PDFKidney failure-related excess mortality during the first three years of the COVID-19 pandemic in the United States: a nation-wide, population-based analysis.
BMC Public Health
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Department of Pulmonary and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, No.253 Industrial Avenue Middle, Guangzhou, 510280, China.
Background: The onset of the COVID-19 pandemic has had a detrimental impact on the healthcare system. Patients with kidney failure and related kidney disease are notably vulnerable to the COVID-19 pandemic. However, it remains unclear how mortality trends associated with kidney failure have evolved over the past three years.
View Article and Find Full Text PDFExamining the affordable connectivity program and telehealth use: a pilot survey of the affordable connectivity program, telehealth, video and audio visits in a racially diverse, lower-income population.
Sci Rep
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Department of Health Systems and Population Health Sciences, Tilman J Fertitta Family College of Medicine, University of Houston, Houston, TX, 77204, USA.
The Affordable Connectivity Program (ACP) aimed to narrow the digital divide by providing discounted internet services for millions of low-income households during the COVID-19 pandemic. This study examined associations between enrollment in the ACP and Telehealth visits in a racially diverse low-income population. Data were obtained via a cross-sectional survey of 213 respondents.
View Article and Find Full Text PDFNational Trends in Stroke Presentation, Treatments, and Outcomes During the First 2 Years of the COVID-19 Pandemic.
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Department of Health Care Policy, Harvard Medical School, Boston, MA.
Background And Objectives: Early presentation and acute treatment for patients presenting with ischemic stroke are associated with improved outcomes. The onset of the COVID-19 pandemic was associated with a large decrease in patients presenting with ischemic stroke, but it is unknown whether these changes persisted.
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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach.
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
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