非洲各地报告COVID-19病例的决定因素
Qing Han1,2, Ghislain Rutayisire2, Maxime Descartes Mbogning Fonkou1,2
1Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Toronto, ON, Canada.
Frontiers in public health
|July 12, 2024
概括
早期COVID-19病例检测在非洲各地区各不相同,北非和南非的表现优于中非. 影响检测率的关键因素包括人口统计,社会经济地位和公共卫生指标.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 非洲国家的COVID-19病例报告被大大低估,在最低控制措施下,初始的每日病率平均只有5.37%.
- 了解影响报告不足的因素对于非洲有效应对疫情至关重要.
研究的目的:
- 确定与非洲国家COVID-19病例报告率相关的决定因素.
- 根据病例报告率和确定的决定因素对非洲国家进行分类.
主要方法:
- 作为响应变量,利用了54个非洲国家的COVID-19每日病例报告率.
- 采用了带有立方线和线性关系的通用添加模型,以从人口,社会经济和公共卫生类别中识别显著的共变量.
- 对报告率和显著连续共变量进行了主要组件 (HCPC) 层次聚类分析.
主要成果:
- 确定了21个与COVID-19病例检测相关的重要共变量,包括人口密度,中位数年龄,GDP,卫生基础设施和疾病流行率.
- HCPC分析将54个非洲国家分为三个主要组:北方,南方和中部.
- 北非的早期病例检测率最高,其次是南非,然后是中非.
结论:
- 与中非相比,北非和南非的早期COVID-19病例识别表现优越.
- 人口,社会经济和公共卫生因素显著影响了非洲国家早期病例检测率.
相关概念视频
Causality in Epidemiology
379
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...
379
Steps in Outbreak Investigation
122
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
122
Introduction to Epidemiology
703
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
703
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
Pie Chart
14.0K
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...
14.0K


