Related Experiment Video
Updated: Aug 12, 2025
09:03
Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
Published on: November 7, 2020
4.9K
Generalized Gamma-CUSUM control chart with application of COVID-19 deaths
Olatunde Adebayo Adeoti1, Kayode Samuel Adekeye2
1Department of Statistics, School of Physical Sciences, Federal University of Technology Akure, Akure, Nigeria.
Plos One
|February 2, 2023
Summary
This study models COVID-19 mortality in Nigeria using statistical distributions and proposes a Gamma-CUSUM control chart. The new chart effectively detects changes in COVID-19 deaths earlier than standard methods.
Area of Science:
- Statistics
- Epidemiology
- Public Health
Background:
- The COVID-19 pandemic presents significant challenges in mortality analysis.
- Effective statistical models and monitoring systems are crucial for understanding and managing pandemic-related deaths.
Purpose of the Study:
- To model COVID-19 mortality in Nigeria using generalized gamma distribution.
- To propose and evaluate a Gamma-CUSUM control chart for monitoring COVID-19 deaths.
Main Methods:
- Utilized four non-normal distributions within the generalized gamma distribution framework.
- Developed a Gamma-CUSUM control chart and compared its performance against the standard normal-CUSUM chart.
Main Results:
- The Gamma-CUSUM chart detected a change in COVID-19 deaths on day 68.
- The standard normal-CUSUM chart failed to signal any change during the same period.
- The Gamma-CUSUM chart accurately identified the exact point of change in mortality data.
Conclusions:
- The generalized gamma distribution provides a suitable model for COVID-19 mortality data.
- The proposed Gamma-CUSUM chart is a more sensitive and effective monitoring tool for COVID-19 deaths compared to the standard normal-CUSUM chart.
Related Concept Videos
00:52Pareto Chart
6.9K
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...
6.9K
01:25Interpreting Run Charts
243
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
243
00:58The X̄ Chart
172
The x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
172
01:04Pie Chart
14.3K
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...
14.3K
01:15Introduction to Statistical Process Control
198
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
198
01:18Finding Critical Values for Chi-Square
3.1K
Consider a curve representing sample data drawn randomly from a normally distributed population. One must construct confidence intervals to estimate or to test a claim regarding the population standard deviation. For example, a 95% confidence interval covers 95% of the area under the curve, and the remaining 5% is equally distributed on either side of the curve. To achieve such confidence intervals, one must determine the critical values. The critical values are simply the values separating the...
3.1K