关于COVID-19数据内在维度的全球视角
Abhishek Varghese1,2, Edgar Santos-Fernandez3,4, Francesco Denti5
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Scientific reports
|June 16, 2023
概括
包括病例增长率和封锁严格性在内的COVID-19数据可以简化为几个关键变量. 这种简化揭示了全球模式,并突出了高收入国家如何表现出较低的数据复杂性.
科学领域:
- 流行病学 流行病学
- 复杂系统科学 复杂系统科学
- 数据科学数据科学数据科学
背景情况:
- 了解COVID-19流行病的复杂动态至关重要.
- 标准化的人均病例和死亡增长率,以及政府应对的严格性,是关键指标.
- 现有的分析往往忽略了这些相互连接的数据集的基本维度.
研究的目的:
- 调查全球COVID-19数据的内在维度.
- 分析COVID-19病例/死亡增长率与政府严格措施之间的关系.
- 确定影响流行病数据复杂性的全球模式和特定国家因素.
主要方法:
- 利用Hidalgo,一个基于贝叶斯混合模型的最先进的异质内在维度估计器.
- 分析了COVID-19病例和死亡人均标准化增长率.
- 纳入了牛津冠状病毒政府响应追踪器COVID-19严重性指数 (CSI).
主要成果:
- COVID-19统计数据投射到低维多元组中,表明一些潜在的潜在变量驱动了流行病的动态.
- 各国 (2020-2021) 的人均增长率和CSI之间存在很强的依赖关系.
- 在全球范围内发现了内在维度的空间自相关性,而高收入国家显示出较低的维度.
结论:
- COVID-19数据的复杂性令人惊地低,这表明了一些关键的驱动因素.
- 流行病数据的维度受人口年龄和并发症等因素的影响,特别是在高收入国家.
- 时间分析揭示了对不断变化的流行病数据复杂性的细粒度见解.
相关概念视频
Pareto Chart
6.8K
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...
6.8K
Causality in Epidemiology
505
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...
505
Pie Chart
14.2K
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...
14.2K
Statistical Methods for Analyzing Epidemiological Data
427
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:
427
Dimensions of Health and Illness
7.5K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.5K
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


