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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.
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Using the Laney p' Control Chart for Monitoring COVID-19 Cases in Jordan.

Mazen Arafah1

  • 1The Department of Industrial Engineering, The University of Jordan, Amman, Jordan.

Journal of Healthcare Engineering
|October 17, 2022
PubMed
Summary

Government interventions during COVID-19 impacted infection rates (IR). The Laney p

Area of Science:

  • Public Health
  • Epidemiology
  • Statistical Process Control

Background:

  • Government interventions, including movement restrictions, were implemented globally during the COVID-19 pandemic.
  • Assessing the real-time impact of these interventions on infection rates is crucial for public health policy.
  • Traditional methods may not always be sensitive enough to detect subtle changes in infection dynamics.

Purpose of the Study:

  • To evaluate the effectiveness of the Laney p' control chart in monitoring COVID-19 infection rates (IR).
  • To assess the impact of governmental interventions and policy changes on IR during the pandemic.
  • To compare the performance of the Laney p' chart with the EWMA control chart and analyze various test rules for detecting IR changes.

Main Methods:

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  • Infection rate (IR) data were collected from October 31, 2020, to March 19, 2022.
  • IR was calculated as confirmed cases divided by the number of PCR tests performed.
  • Laney p' control charts and EWMA control charts were utilized in Minitab software for analysis, alongside various test rules.

    • Main Results:

    • Restrictive measures were associated with decreased infection rates, while easing restrictions led to an increase.
    • The Laney p' control chart generally detected changes in IR faster than the EWMA control chart.
    • No single test rule consistently outperformed others in detecting all IR changes; multistage analysis proved more sensitive to small changes.

    Conclusions:

    • The Laney p' control chart is an effective tool for monitoring COVID-19 infection rates and evaluating public health interventions.
    • Governmental restrictions demonstrated a clear impact on reducing infection rates.
    • A shift towards analyzing data in both single-stage and multistage analyses is recommended for a comprehensive understanding of infection rate dynamics.