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Mathematical and statistical approaches in epidemiological investigation of hospital infection: A case study of the 2015 Middle East Respiratory Syndrome outbreak in Korea.
PLoS One
January 2025
Department of Mathematics, Konkuk University, Seoul, Republic of Korea.
Mathematical and statistical methods are invaluable in epidemiological investigations, enhancing our understanding of disease transmission dynamics and informing effective control measures. In this study, we presented a method to estimate transmissibility using patient-level data, with application to the 2015 MERS outbreak at Pyeongtaek St. Mary's Hospital, the Republic of Korea.
View Article and Find Full Text PDFPedestrian POSE estimation using multi-branched deep learning pose net.
PLoS One
January 2025
Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
In human activity-recognition scenarios, including head and entire body pose and orientations, recognizing the pose and direction of a pedestrian is considered a complex problem. A person may be traveling in one sideway while focusing his attention on another side. It is occasionally desirable to analyze such orientation estimates using computer-vision tools for automated analysis of pedestrian behavior and intention.
View Article and Find Full Text PDFTumor localization strategies of multi-cancer early detection tests: a quantitative assessment.
JNCI Cancer Spectr
January 2025
Exact Sciences Corporation, Madison, WI, United States.
Background: Multi-cancer early detection (MCED) tests may expand cancer screening. Characterizing diagnostic resolution approaches following positive MCED tests is critical. Two trials employed distinct resolution approaches: a molecular signal to predict tissue of origin (TOO) and an imaging-based diagnostic strategy.
View Article and Find Full Text PDFVistla: identifying influence paths with information theory.
Bioinformatics
January 2025
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, 02-106, Poland.
Motivation: It is a challenging task to decipher the mechanisms of a complex system from observational data; especially in biology, where systems are sophisticated, measurements coarse and multi-modality is a common trait. The typical approaches of inferring a network of relationships between system's components struggle with the quality and feasibility of estimation, as well as with the interpretability of the results they yield.Said issues can be avoided, however, when dealing with a simpler problem of tracking only the influence paths, defined as circuits relying the information of an experimental perturbation as it spreads through the system.
View Article and Find Full Text PDFA Simple Sensitivity Analysis Method for Unmeasured Confounders via Linear Programming With Estimating Equation Constraints.
Stat Med
February 2025
Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan.
In estimating the average treatment effect in observational studies, the influence of confounders should be appropriately addressed. To this end, the propensity score is widely used. If the propensity scores are known for all the subjects, bias due to confounders can be adjusted by using the inverse probability weighting (IPW) by the propensity score.
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