经济合作与发展组织国家的社会政治背景和COVID-19死亡率:一种配置方法
Toktam Paykani1, Ioana-Elena Oana2
1Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran. Paykani.t@gmu.ac.ir.
BMC public health
|September 5, 2024
概括
低国家能力和对政府的信任度低是导致经合组织国家的高COVID-19病例死亡率 (CFR) 的关键因素. 这些社会政治条件,再加上其他因素,显著影响了应对危机的有效性.
科学领域:
- 社会学 社会学 社会学
- 政治科学 政治科学是指政治学.
- 公共卫生 公共卫生
背景情况:
- 应对危机的有效性受到社会系统的结构,文化和功能方面的影响.
- 本研究考察了影响COVID-19病例死亡率 (CFR) 的社会政治条件.
研究的目的:
- 在经合组织国家使用配置方法识别导致高COVID-19CFR的社会政治条件的组合.
- 分析民主,国家能力,对政府的信任,卫生支出和COVID-19结果的平均年龄的相互作用.
主要方法:
- 对38个经合组织国家的数据进行了模糊集定性比较分析 (QCA).
- 该研究采用了全面的QCA稳定性测试协议,以确定可靠性.
主要成果:
- 对于高或低的COVID-19 CFR,没有单一的条件是必要的;特定的组合足够了.
- 国家能力低和对政府信任低一直被认为是高CFR"食谱"的关键因素.
- 鉴定的社会政治结构解释了84%的结果,并指出了一些矛盾的案例,以便进一步研究.
结论:
- 政府政策实施和公众信任的缺陷阻碍了有效的COVID-19危机应对.
- 调查结果突出了COVID-19结果上的社会决定因素的相互联系和加强性.
- 治理和公民信心是有效管理公共卫生危机的关键障碍.
更多相关视频
相关概念视频
Causality in Epidemiology
349
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
349
Pareto Chart
6.7K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.7K
Statistical Methods for Analyzing Epidemiological Data
330
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:
330
Bias in Epidemiological Studies
180
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
180
Factors Affecting Illness
4.2K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.2K
Pie Chart
13.8K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
13.8K


