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相关概念视频

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

102
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
102
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

50
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
50
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

381
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
381
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

371
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
371
Econometric Views (EViews)01:29

Econometric Views (EViews)

145
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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相关实验视频

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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为COVID-19支持分配援助:一个受约束的优化方法.

Simon Feeny1

  • 1Centre for International Development, RMIT University, Melbourne, Victoria, Australia.

Health economics
|December 11, 2023
PubMed
概括

这项研究开发了COVID-19援助分配的模型,发现低收入国家需要更多的支持. 目前的援助分配有利于中等收入国家,强调需要透明,基于需求的融资公式.

科学领域:

  • 全球健康 全球健康
  • 发展经济学 发展经济学
  • 公共政策 公共政策

背景情况:

  • 由于COVID-19的流行,全球援助工作需要前所未有的努力.
  • 现有的援助分配机制可能无法充分反映流行病特定需求.
  • 官方发展援助 (ODA) 在全球卫生安全方面发挥着至关重要的作用.

研究的目的:

  • 制定一个规范模型,以公平地分配COVID-19援助的国家间.
  • 根据基于需求的框架来评估当前的援助分配.
  • 为未来的流行病准备和应对资金提供信息.

主要方法:

  • 根据需要的三个维度开发了一个规范模型:危险/暴露,脆弱性和应对能力.
  • 该模型考虑了ODA资格国家对整体援助预算的约束.
  • 规定的援助拨款与2020年实际捐助者支持进行了比较.

主要成果:

  • 低收入国家被确定需要比获得的更多的COVID-19援助.
  • 中等收入国家通常比模型所建议的接受更多的COVID-19捐助者支持.
  • 在不同权重和参数的灵敏度分析中,模型的发现基本上保持一致.
关键词:
在 COVID-19 疫情中,有助于分配援助的拨款.外国援助对外援助

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结论:

  • 目前的COVID-19援助分配做法可能与基于需求的方法不一致.
  • 为应对全球流行病,建议采用透明,基于需求的融资公式.
  • 公平的资源分配对于有效的全球卫生危机管理至关重要.