Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of ...
Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic;characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic;and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1–9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2–7·4) in 2019;293·7 times the $24·8 billion (95% UI 24·3–25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided
The author explores a general framework for analyzing or synthesizing intelligent systems, as well as techniques for implementing them. The framework consists of six factors: purpose, space, structure, time, process a...
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The author explores a general framework for analyzing or synthesizing intelligent systems, as well as techniques for implementing them. The framework consists of six factors: purpose, space, structure, time, process and efficiency. The technologies involve the methods of artificial intelligence and strategies for developing knowledge-based systems. The framework has been used to develop diverse applications, ranging from an expert system for creative product design to a package for factory configurations. This framework is discussed in the context of an expert system for the design of personal computers.< >
作者：
KIM, SHKnowledge Systems Program
Laboratory for Manufacturing and Productivity Massachussetts Institute of Technology Cambridge MA 02139 U.S.A.
A theoretical framework for the analysis and synthesis of intelligent systems is presented. The basic models of automata theory and adaptive systems are highlighted, then extended and interpreted in the context of int...
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A theoretical framework for the analysis and synthesis of intelligent systems is presented. The basic models of automata theory and adaptive systems are highlighted, then extended and interpreted in the context of intelligent system design. In particular, the basic models are generalized to intelligent systems incorporating self-learning behavior. The utility of this approach is demonstrated by its use as a rigorous basis for (1) the discussion of information minimization in automatic systems, (2) the formal structure of adaptive systems and (3) implications for a general theory of intelligent systems.
The design and manufacturing advisor (DMA) is a generic architecture for an expert system which assists in the process of product design. It integrates various parts of the production environment which affect the fina...
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The design and manufacturing advisor (DMA) is a generic architecture for an expert system which assists in the process of product design. It integrates various parts of the production environment which affect the final product—such as fabrication, assembly, inspection and inventory. The design process can be partitioned into four stages: problem specification, feature specification, testing and generation. DMA facilitates the development of tractable designs, defined by the intersection of three spaces relating to specifications, features and productibility. The system consists of a domain-independent module and a domain-dependent module, each of which contains subcomponents; this modular structure facilitats system modification, expansion, and portability. The DMA has been validated by specializing the architecture to the design of gas-turbine disks for jet engines.
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