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State-Level Influenza Hospitalization Burden in the United States, 2022-2023.
Am J Public Health
January 2025
Alexia Couture, A. Danielle Iuliano, Ryan Threlkel, Matthew Gilmer, Alissa O'Halloran, Dawud Ujamaa, Matthew Biggerstaff, and Carrie Reed are with the National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA. Howard H. Chang is with the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
To develop a method leveraging hospital-based surveillance to estimate influenza-related hospitalizations by state, age, and month as a means of enhancing current US influenza burden estimation efforts. Using data from the Influenza Hospitalization Surveillance Network (FluSurv-NET), we extrapolated monthly FluSurv-NET hospitalization rates after adjusting for testing practices and diagnostic test sensitivities to non-FluSurv-NET states. We used a Poisson zero-inflated model with an overdispersion parameter within the Bayesian hierarchical framework and accounted for uncertainty and variability between states and across time.
View Article and Find Full Text PDFEvaluation of the practical application of the category-imbalanced myeloid cell classification model.
PLoS One
January 2025
School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
The incidence of acute myeloid leukemia (AML) is increasing annually, and timely diagnostic and treatments can substantially improve patient survival rates. AML typing traditionally relies on manual microscopy for classifying and counting myeloid cells, which is time-consuming, laborious, and subjective. Therefore, developing a reliable automated model for myeloid cell classification is imperative.
View Article and Find Full Text PDFEffect of the intrinsic and extrinsic factors on the growth and development of young foals under subtropical conditions of Pakistan.
PLoS One
January 2025
Department of Clinical Medicine & Surgery, University of Veterinary and Animal Sciences, Lahore, Pakistan.
This study was designed to explore the impact of intrinsic (breed of foal, age of dam, and age of foal at weaning) and extrinsic (season of birth and housing type) factors on the growth and survival of foals in the subtropical conditions of Pakistan. For the growth study, retrospective data analysis of foals (n = 150) born from purebred brood mares of Thoroughbred, Arabs, and Percheron breeds (n1, n2, and n3 = 50 each) was made. Six hundred and twenty-four (n = 624) foals born between 2020 to 2022 were observed for the study of foal survival rate.
View Article and Find Full Text PDFComparing imputation approaches to handle systematically missing inputs in risk calculators.
PLOS Digit Health
January 2025
Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland.
Risk calculators based on statistical and/or mechanistic models have flourished and are increasingly available for a variety of diseases. However, in the day-to-day practice, their usage may be hampered by missing input variables. Certain measurements needed to calculate disease risk may be difficult to acquire, e.
View Article and Find Full Text PDFReporting of concomitant and rescue topical therapies in atopic dermatitis randomised controlled trials evaluating a systemic treatment: a scoping review.
Br J Dermatol
January 2025
Centre of Evidence Based Dermatology, School of Medicine, Faculty of Medicine & Health Sciences, University of Nottingham, UK.
Background: Randomised controlled trials (RCTs) evaluating new systemic treatments for atopic dermatitis (AD) have increased dramatically over the last decade. These trials often incorporate topical therapies either as permitted concomitant or rescue treatments. Differential use of these topicals post-randomisation introduces potential bias as they may nullify or exaggerate treatment responses.
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