Multistate epidemiological model with age structure is constructed on the grounds of natural history of the hepatitis B. Essential epidemiological classes constitute the basis of the model. Epidemiological parameters and the coefficients of transfer among the classes were determined from available information. Uncertainty of infectiousness of some classes of the population was an important constraint in model formulation. Population structure, the distribution of epidemiological classes and other parametric values were rather arbitrarily set but these can be changed as more accurate information becomes available. As new information on natural history may become available this can be incorporated into the present model, with appropriate modifications of its structure. The computer program+ of the model has been written in BASIC language, and can be accommodated within microcomputers. The model is used for simulation of endemic and epidemic situations. It is applied for simulating the natural course of infection as well as the effects of various public health interventions, such as passive and active immunization and/or application of appropriate sanitary and hygienic measures. The cost-effectiveness analysis of various public health control programmes can also be carried out with the model. The model is evaluated through the simulations of actual and hypothetical situations. The model in its present form, permits simulation of the disease dynamics in various populations and epidemic situations. It seems to be a useful tool in the study of hepatitis B dynamics, its epidemic patterns and in the search for the effective and cost-effective, control strategies.
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J Health Organ Manag
January 2025
Amrita School of Business - Amritapuri Kollam Campus, Kollam, India.
Purpose: This paper aims to delve into the critical aspect of supplier selection in the healthcare sector, emphasizing the significance of strategic sourcing in enhancing operational efficiency and quality of services. The primary aim is to develop a comprehensive framework for supplier evaluation that aligns with the unique requirements of hospitals, ultimately improving procurement processes and patient care outcomes.
Design/methodology/approach: The study leverages the renowned Carter's 7 C model as a foundational framework for supplier assessment, supplemented by insights gathered from interviews with experts in the New Product Introduction, Purchasing and Procurement departments of a leading hospital in India.
Curr Eye Res
January 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
Purpose: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Methods: The retinal layer thickness data obtained from C57BL/6 and DBA/2J mice were processed for machine learning after segmenting mouse retinal SD-OCT scans. Twenty-two models were trained to predict the mouse groups.
ACS Appl Mater Interfaces
January 2025
Key Laboratory of Intelligent Supramolecular Chemistry at the University of Yunnan Province, National and Local Joint Engineering Research Center for Green Preparation Technology of Biobased Materials, School of Chemistry & Environment, Yunnan Minzu University, Kunming 650500, P. R. China.
Developing efficient and recyclable iodine adsorbents is crucial for addressing radioactive iodine pollution. An imidazole cation-bridged pillar[5]arene polymer (P5-P5I) was synthesized via a salt formation reaction. P5-P5I exhibited a high iodine vapor capture capacity of 2130.
View Article and Find Full Text PDFPharmacoecon Open
January 2025
Optimax Access Ltd, Kenneth Dibben House, Enterprise Rd, Chilworth, Southampton University Science Park, Southampton, UK.
Background: Patients with a left ventricular ejection fraction ≤ 35% are at increased risk of sudden cardiac death (SCD) within the first months after a myocardial infarction (MI). The wearable cardioverter defibrillator (WCD) is an established, safe and effective solution which can protect patients from SCD during the first months after an MI, when the risk of SCD is at its peak. This study aimed to evaluate the cost-effectiveness of WCD combined with guideline-directed medical therapy (GDMT) compared to GDMT alone, after MI in the English National Health Service (NHS).
View Article and Find Full Text PDFAnim Cogn
January 2025
Neuroscience Department, Oberlin College, 173 Lorain St, Oberlin, OH, USA.
Keeping track of time intervals is a crucial aspect of behavior and cognition. Many theoretical models of how the brain times behavior make predictions for steady-state performance of well-learned intervals, but the rate of learning intervals in these models varies greatly, ranging from one-shot learning to learning over thousands of trials. Here, we explored how quickly rats and mice adapt to changes in interval durations using a serial fixed-interval task.
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