Анализ отдаленных результатов санаторно-курортного лечения детей с реактивными артритами

На підставі вивчення віддалених результатів санаторно-курортного лікування з використанням клініко-лабораторних і функціональних параметрів 50 дітей з реактивними артритами встановлений сприятливий ефект в перебігу захворювання, що виявлялося відсутністю загострень, поліпшенням клінічної картини захворювання, зменшенням проявів суглобового синдрому, підвищенням функціональної активності нервово-м'язового апарату, поліпшенням показників якості життя.On the basis of study of remote results of resort medical treatment with the use of clinics,-laboratory and functional at 50 children with reactive arthritics a favorable effect in the flow of disease is set, that showed up absence of intensifications, improvement of clinical picture of disease, reduction of displays of joint syndrome, rise of functional activity of muscle vehicle, by the improvement of indexes of quality of life

Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support

The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty in model-based decision support activities such as policy analysis, integrated assessment and risk assessment. It focuses on the uncertainty perceived from the point of view of those providing information to support policy decisions (i.e., the modellers’ view on uncertainty) – uncertainty regarding the analytical outcomes and conclusions of the decision support exercise. Within the regulatory and management sciences, there is neither commonly shared terminology nor full agreement on a typology of uncertainties. Our aim is to synthesise a wide variety of contributions on uncertainty in model-based decision support in order to provide an interdisciplinary theoretical framework for systematic uncertainty analysis. To that end we adopt a general definition of uncertainty as being any deviation from the unachievable ideal of completely deterministic knowledge of the relevant system. We further propose to discriminate among three dimensions of uncertainty: location, level and nature of uncertainty, and we harmonise existing typologies to further detail the concepts behind these three dimensions of uncertainty.We propose an uncertainty matrix as a heuristic tool to classify and report the various dimensions of uncertainty, thereby providing a conceptual framework for better communication among analysts as well as between them and policymakers and stakeholders. Understanding the various dimensions of uncertainty helps in identifying, articulating, and prioritising critical uncertainties, which is a crucial step to more adequate acknowledgement and treatment of uncertainty in decision support endeavours and more focused research on complex, inherently uncertain, policy issues

Response to “To what extent, and how, might uncertainty be defined” by Norton, Brown, and Mysiak

In a previous issue of Integrated Assessment (Vol. 4, No. 1), we proposed an uncertainty analysis framework, the aim of which was to provide a conceptual basis for the systematic treatment of uncertainty in model-based decision support activities, such as policy analysis, integrated assessment, and risk assessment. In the current issue, Norton, et al. present a critique and evaluation of the framework. This Disciplinary Perspective responds to their critique