Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Life Tables01:22

Life Tables

330
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
330
Pareto Chart00:52

Pareto 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...
7.4K
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

251
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
251
Applications of Life Tables01:22

Applications of Life Tables

182
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
182
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

376
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
376
Causality in Epidemiology01:21

Causality in Epidemiology

1.2K
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...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CHIMERA: A Phase II Study of Neoadjuvant Pembrolizumab in Combination With Cisplatin or Carboplatin and Pemetrexed Followed by Surgery and Adjuvant Pembrolizumab in Resectable Pleural Mesothelioma.

Clinical lung cancer·2026
Same author

Development of a Radiologic Nomogram to Predict Invasiveness in Pulmonary Pure Ground-Glass Opacities: Analysis of the GORDON Cohort.

Cancers·2026
Same author

Use of a composite, 3D-printed patch as a partial airway replacement: A pilot study on the porcine model.

Bioengineering & translational medicine·2026
Same author

Surgery for Benign Tracheoesophageal Fistula: Analysis of Short- and Long-Term Outcomes.

World journal of surgery·2026
Same author

Video-assisted thoracoscopic surgery as redo approach after prior open lobectomy: is it safely feasible?-challenges and pitfalls of a complex surgical technique.

Journal of visualized surgery·2026
Same author

A Delphi consensus report of the Italian society of thoracic surgery on influencing factors, use of a bleeding scale, and management of bleeding in thoracic surgery.

Frontiers in surgery·2026

Related Experiment Video

Updated: Nov 15, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.6K

Lessons from COVID-19 mortality data across countries.

Giovanni Corrao1,2, Federico Rea1,2, Gian Carlo Blangiardo3

  • 1National Centre of Healthcare Research & Pharmacoepidemiology.

Journal of Hypertension
|March 3, 2021
PubMed
Summary
This summary is machine-generated.

Comparing COVID-19 mortality metrics across eleven western countries reveals significant variations. All-cause excess mortality is recommended as a more reliable indicator due to differing definitions and reporting criteria for COVID-19 deaths.

More Related Videos

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

35.0K
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.8K

Related Experiment Videos

Last Updated: Nov 15, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.6K
Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

35.0K
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.8K

Area of Science:

  • Epidemiology
  • Public Health
  • Comparative Analysis

Background:

  • Online databases offer extensive data on COVID-19 mortality rates and case-fatality.
  • International comparisons of COVID-19 deaths are complicated by varying data collection and reporting methods.

Purpose of the Study:

  • To compare and interpret between-country trends in COVID-19 mortality rate, case-fatality, and all-cause excess mortality.
  • To identify factors contributing to the heterogeneity in reported COVID-19 mortality metrics.

Main Methods:

  • Utilized open-access data, primarily from Our World in Data, for eleven Western nations.
  • Compared COVID-19 mortality rate, case-fatality, and all-cause excess mortality trends.
  • Analyzed differences in criteria for attributing deaths to COVID-19 and identifying infections.

Main Results:

  • Belgium reported the highest COVID-19 mortality, potentially due to broader attribution criteria.
  • The UK, Italy, and Spain showed lower COVID-19 mortality but higher all-cause excess mortality.
  • Germany and Austria consistently exhibited the lowest rates across all three mortality metrics.

Conclusions:

  • Discrepancies in COVID-19 mortality metrics are largely due to differing attribution criteria, demographic factors, and testing policies.
  • All-cause excess mortality is proposed as a more robust and reliable metric for international comparisons of pandemic impact.