在COVID-19疫苗接种中的全球不平等:相关因素和衡量不平等的工具
Ubaldo Miranda-Soberón1, Isabel Pino-Arana2, Jeny Del Rio-Mendoza1
1Human Medicine Faculty, National University "San Luis Gonzaga", Ica 11004, Peru.
Vaccines
|July 29, 2023
概括
社会经济因素与全球COVID-19疫苗接种率有明显的相关性. 更富裕的国家和地区的疫苗接种率更高,突出了疫苗接种率的差异.
科学领域:
- 全球健康 全球健康
- 流行病学 流行病学
- 社会经济学 社会经济学
背景情况:
- 世界卫生组织承认社会经济因素是健康的关键决定因素.
- 解决健康不平等问题,例如COVID-19疫苗接种问题,对于公共卫生政策至关重要.
- 社会经济地位显著影响健康结果和获得医疗保健干预措施.
研究的目的:
- 调查社会经济因素与COVID-19疫苗接种之间的全球相关性.
- 量化全球COVID-19疫苗分配中的不平等程度.
- 确定与疫苗接种差异相关的特定社会经济指标.
主要方法:
- 综合分析来自169个国家的二次数据 (2020年1月至2022年3月).
- 使用了统计方法,包括克鲁斯卡尔-瓦利斯测试,斯皮尔曼相关性,洛伦茨曲线和度指数.
- 使用LibreOffice和JASP进行数据分析和可视化.
主要成果:
- 在一剂 (0.71) 和三剂 (0.82) 接种疫苗的GDP和接种率之间发现了显著的正相关性.
- 国家竞争力更高与疫苗接种率增加相关.
- 度指数显示了大量的疫苗接种不平等,特别是在多剂量疫苗接种方面,差异反映在预期寿命指数 (0.16-0.50) 中.
- 非洲的不平等率最高,而美国的不平等率最低. 南美洲的疫苗接种率是非洲的4.3倍.
结论:
- 全球COVID-19疫苗接种显示出与社会经济因素相关的显著不平等.
- 像GDP这样的经济指标是疫苗接种范围的强有力的预测指标.
- 需要有针对性的干预措施来解决社会经济障碍,并减少全球的疫苗不平等.
更多相关视频
06:26Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
Published on: July 28, 2023
2.3K
08:52Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
Published on: July 26, 2019
8.2K
相关概念视频
Bias in Epidemiological Studies
353
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:
353
Types of Skewness
12.3K
If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
12.3K
Confounding in Epidemiological Studies
190
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
190
Vaccinations
44.7K
Overview
44.7K
Principles of Disease Surveillance
124
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
124
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
