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Research Paradigm of the International Classification of Functioning, Disability and Health (ICF) With Item Response Theory: Clarification, Classification, and Challenge.
Physiother Res Int
January 2025
Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Background: The International Classification of Functioning, Disability and Health (ICF) is the worldwide terminology system for measuring health and disability at both individual and population levels. However, the underlying challenges remain in achieving widespread adoption and implementation of ICF within healthcare contexts, including the unequal interval scale of the ICF Likert-type qualifier system ranging from 0 to 4, a lack of consensus on conceptualization and grading criteria of ICF items, and an excessive number of ICF items associated with each disease. The utilization of item response theory (IRT) for ICF studies demonstrated potential benefits in addressing these issues.
View Article and Find Full Text PDFSARS-CoV-2 introductions to the island of Ireland: a phylogenetic and geospatiotemporal study of infection dynamics.
Genome Med
December 2024
Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland, BT9 7BL, UK.
Background: Ireland's COVID-19 response combined extensive SARS-CoV-2 testing to estimate incidence, with whole genome sequencing (WGS) for genome surveillance. As an island with two political jurisdictions-Northern Ireland (NI) and Republic of Ireland (RoI)-and access to detailed passenger travel data, Ireland provides a unique setting to study virus introductions and evaluate public health measures. Using a substantial Irish genomic dataset alongside global data from GISAID, this study aimed to trace the introduction and spread of SARS-CoV-2 across the island.
View Article and Find Full Text PDFA comprehensive multi-objective framework for the estimation of crash frequency models.
Accid Anal Prev
February 2025
School of Civil & Environment Engineering, Queensland University of Technology, 2 George Street, Brisbane, 4000 QLD, Australia. Electronic address:
A common and challenging data and modeling aspect in crash analysis is unobserved heterogeneity, which is often handled using random parameters and special distributions such as Lindley. Random parameters can be estimated with respect to each observation for the entire dataset, and grouped across segments of the dataset, with variable means, or variable variances. The selection of the best approach to handle unobserved heterogeneity depends on the data characteristics and requires the corresponding hypothesis testing.
View Article and Find Full Text PDFGerman Version of the Telehealth Usability Questionnaire and Derived Short Questionnaires for Usability and Perceived Usefulness in Health Care Assessment in Telehealth and Digital Therapeutics: Instrument Validation Study.
JMIR Hum Factors
November 2024
Palliative Care Team for Children Kassel, Kassel, Germany.
Background: The exponential growth of telehealth is revolutionizing health care delivery, but its evaluation has not matched the pace of its uptake. Various forms of assessment, from single-item to more extensive questionnaires, have been used to assess telehealth and digital therapeutics and their usability. The most frequently used questionnaire is the "Telehealth Usability Questionnaire" (TUQ).
View Article and Find Full Text PDFTerraces in species tree inference from gene trees.
BMC Ecol Evol
November 2024
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1205, Bangladesh.
A terrace in a phylogenetic tree space is a region where all trees contain the same set of subtrees, due to certain patterns of missing data among the taxa sampled, resulting in an identical optimality score for a given data set. This was first investigated in the context of phylogenetic tree estimation from sequence alignments using maximum likelihood (ML) and maximum parsimony (MP). It was later extended to the species tree inference problem from a collection of gene trees, where a set of equally optimal species trees was referred to as a "pseudo" species tree terrace which does not consider the topological proximity of the trees in terms of the induced subtrees resulting from certain patterns of missing data.
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