Related Experiment Video
Updated: Nov 23, 2025
03:53
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
1.6K
Decomposing Differences in Coronavirus disease 2019-related Case-Fatality Rates across Seventeen Nations
Ashley Wendell Kranjac1, Dinko Kranjac2
1Department of Sociology, Chapman University, Orange, CA, USA.
Pathogens and Global Health
|December 31, 2020
Summary
Global COVID-19 case fatality rates vary significantly. Asian countries show lower rates due to better buffering of risk factors, not just different risk factor prevalence.
Area of Science:
- Epidemiology
- Public Health
- Health Economics
Background:
- Global COVID-19 case-fatality rates (CFR) exhibit significant spatial heterogeneity.
- Understanding the drivers of these disparities is crucial for effective public health interventions.
Purpose of the Study:
- To identify sociodemographic, structural, and environmental factors contributing to variations in COVID-19 CFR across nations.
- To analyze how these factors differentially impact CFR between Asian countries and those in Europe or North America.
Main Methods:
- Application of the Blinder-Oaxaca regression decomposition technique.
- Analysis of country-level risk factors influencing COVID-19 CFR.
Main Results:
- Compositional and associational differences in country-level risk factors explain a substantial portion of the global CFR gap.
- Asian countries demonstrate lower CFR, primarily due to their populations' enhanced ability to mitigate the adverse effects of risk factors.
Conclusions:
- Preexisting country-specific conditions significantly contribute to observed disparities in COVID-19 CFR.
- Effective mitigation strategies may involve understanding and leveraging protective factors within populations to buffer against disease severity.
More Related Videos
09:02Infection of Primary Nasal Epithelial Cells Grown at an Air-Liquid Interface to Characterize Human Coronavirus-Host Interactions
Published on: September 22, 2023
1.9K
09:26Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
1.4K
Related Concept Videos
00:52Pareto Chart
7.4K
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...
7.4K
01:12Relative Risk
1.2K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.2K
01:04Pie Chart
15.3K
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...
15.3K
00:36Viral Mutations
37.8K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
37.8K
01:29Bias in Epidemiological Studies
990
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
990
01:18Factors Affecting Illness
4.8K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.8K