Panel Associations Between Newly Dead, Healed, Recovered, and Confirmed Cases During COVID-19 Pandemic

Ming Guan1,2,3

  • 1International Issues Center, Xuchang University, No. 88 Road Bayi, Xuchang, Henan, China. gming0604@163.com.

Insights

This study confirms panel associations between newly dead, healed, and recovered cases with newly confirmed coronavirus disease 2019 (COVID-19) cases globally. These findings aid in evaluating and controlling the COVID-19 pandemic

Area of Science:

  • Epidemiology
  • Public Health
  • Biostatistics

Background:

  • Understanding the relationships between newly recovered (NR), newly healed (NH), newly confirmed (NC), and newly dead (ND) cases of COVID-19 is crucial for disease control.
  • Existing knowledge gaps necessitate exploring the panel associations among these key COVID-19 metrics.

Purpose of the Study:

  • To investigate the panel associations of newly dead (ND), newly healed (NH), and newly recovered (NR) cases with newly confirmed (NC) cases of COVID-19.
  • To analyze these associations across different geographical regions including China, the USA, and globally.

Main Methods:

  • Utilized panel data from China, the USA, and global sources spanning from January 2020 to April 2021.
  • Employed various regression techniques including pooled regression, quantile regression, and random-effects models.
  • Conducted event study analyses to assess the impact of key events on newly confirmed cases (NC).

Main Results:

  • Descriptive analysis indicated higher ND/NC ratios in China compared to the USA and global averages.
  • Confirmed significant panel associations among ND, NH, NR, and NC across China, the USA, and globally.
  • Panel event studies revealed that key events had a greater influence on NC in the USA and globally than in China.

Conclusions:

  • The study validates the panel associations between newly dead, healed, and recovered cases and newly confirmed COVID-19 cases.
  • Regression outcomes provide insights for comparing the effectiveness of various COVID-19 control strategies worldwide.
  • Future research should focus on elucidating the underlying mechanisms driving these observed panel associations.
Abstract

Related Concept Videos

Contingency Table01:29

Contingency Table

A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.7K
Causality in Epidemiology01:21

Causality in Epidemiology

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...
1.1K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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:
252
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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...
226
Pareto Chart00:52

Pareto Chart

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...
7.3K
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
927