Am J Infect Control
October 2024
Background: The Burkholderia cepacia complex comprises a group of bacteria with a growing threat as a contaminant of nonsterile solutions. We describe an outbreak of a Burkholderia cepacia complex involving patients at intensive care unit related to a no-rinse bathing solution (NRBS).
Methods: We carried out patients, environmental and laboratory investigation performing analyses of cases, pulsed-field-gel electrophoresis and whole genome sequence (WGS) of isolates.
A binary mixture of two-different-size proliferating motile disks is studied. As growth is space limited, we focus on the conditions such that there is a coexistence of both large and small disks, or dominance of the larger disks. The study involves systematically varying some system parameters, such as diffusivities, growth rates, and self-propulsion velocities.
View Article and Find Full Text PDFEstimating treatment effects from observational data in medicine using causal inference is a very relevant task due to the abundance of observational data and the ethical and cost implications of conducting randomized experiments or experimental interventions. However, how could we estimate the effect of a treatment in a hospital that has very restricted access to treatment? In this paper, we want to address the problem of distributed causal inference, where hospitals not only have different distributions of patients, but also different treatment assignment criteria. Furthermore, it is necessary to take into account that due to privacy restrictions, personal patient data cannot be shared between hospitals.
View Article and Find Full Text PDFTelehealth services that identify and address the social needs of patients can improve access to health care and social services. The social needs of medication therapy management (MTM)-eligible Medicare-Medicaid dual-enrolled patients are unknown. To describe the social needs of Medicare-Medicaid dual-enrolled patients participating in a telephonic MTM program.
View Article and Find Full Text PDFWe study the effects of stochastic birth and death processes on the structural phases of systems of active and passive Brownian particles subject to volume exclusion. The total number of particles in the system is a fluctuating quantity, determined by the birth and death parameters and on the activity of the particles. As the birth and death parameters are varied, we find liquid, hexatic, and solid phases.
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