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Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

All the analyses were conducted using R (version 4.1.2; R Foundation for Statistical Computing) and RStudio (Posit PBC). To perform the EFA analyses, the Lavaan package [46] was used, which incorporates the most up-to-date estimators for categorical variables. This study was approved by the Ethics Committee on Non-Biomedical Experimentation and Genetically Modified Organisms (CEENB-GMOs) of the University of Cadiz (005_2024).

Javier Alvarez-Galvez, Carolina Lagares-Franco, Esther Ortega-Martin, Helena De Sola, Antonio Rojas-García, Paloma Sanz-Marcos, José Almenara-Barrios, Angelos P Kassianos, Ilaria Montagni, María Camacho-García, Maribel Serrano-Macías, Jesús Carretero-Bravo

JMIR Infodemiology 2025;5:e69945

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

AUROCs with 95% CIs were calculated using R (version 4.4.0; R Foundation) with the p ROC (version 1.18.5) package. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated across a range of cut points. Subgroup analyses were conducted to assess model performance across sex, race, ethnicity, and age. Differences in patient characteristics were assessed using chi-squared tests for categorical variables and Mann-Whitney U tests for age.

Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

J Med Internet Res 2025;27:e75340