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

243
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,...
243
Applications of Life Tables01:22

Applications of Life Tables

145
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...
145
Population Growth00:57

Population Growth

26.1K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
26.1K
Life Histories01:29

Life Histories

21.0K
Overview
21.0K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

113
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
113
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

634
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
634

You might also read

Related Articles

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

Sort by
Same author

The Strehler-Mildvan correlation as a valuable tool for monitoring the long-term health status of a population.

Frontiers in public health·2025
Same author

Database of age trajectories of mortality in 110 countries and web application: Data report.

Frontiers in public health·2022
Same author

Analysis of Cumulative Fluid Balance Impact on the Stability of Gastrointestinal Tract Anastomosis.

The Indian journal of surgery·2021
Same author

Why Does Child Mortality Decrease With Age? Modeling the Age-Associated Decrease in Mortality Rate Using WHO Metadata From 14 European Countries.

Frontiers in pediatrics·2020
Same author

Cost of Treatment and Care for People with Alzheimer's Disease: A Meta- Analysis.

Current Alzheimer research·2020
Same author

Economic analysis of acupuncture for migraine prophylaxis.

Neuropsychiatric disease and treatment·2018

Related Experiment Video

Updated: Oct 22, 2025

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

34.8K

Why Does Child Mortality Decrease With Age? Modeling the Age-Associated Decrease in Mortality Rate Using WHO Metadata

Josef Dolejs1, Helena Homolková2

  • 1Department of Informatics and Quantitative Methods, University of Hradec Králové, Hradec Králové, Czechia.

Frontiers in Pediatrics
|August 30, 2021
PubMed
Summary

The age trajectory of mortality (ATM) is similar across European and non-European countries, even with varying mortality levels. Congenital impairments largely explain the decrease in child mortality rates with age.

Keywords:
WHO databaseagechildhoodcongenital anomaliesmortality rate

More Related Videos

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.3K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.8K

Related Experiment Videos

Last Updated: Oct 22, 2025

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

34.8K
Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.3K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.8K

Area of Science:

  • Demography
  • Public Health
  • Epidemiology

Background:

  • Previous research analyzed the age trajectory of mortality (ATM) in 14 European countries.
  • This study extends the analysis to 11 non-European countries, including those with higher mortality rates.

Purpose of the Study:

  • To investigate the age trajectory of mortality (ATM) in diverse global populations.
  • To compare ATM patterns between European and non-European countries.
  • To examine the influence of mortality levels on ATM.

Main Methods:

  • Utilized WHO mortality database for death statistics from 11 non-European countries.
  • Applied the Halley method to calculate mortality rates across combined countries and calendar years.
  • Created a hypothetical population to integrate extensive data.

Main Results:

  • The age trajectory of total mortality (ATTM) and disease-specific ATM showed strong similarities between European and non-European cohorts.
  • Mortality levels did not significantly alter the observed ATM patterns.
  • An inverse proportion model generally applied to ATTM in non-European countries, with exceptions in the first year of life.

Conclusions:

  • The decline in child mortality with age is attributed to the reduced prevalence of individuals with congenital impairments.
  • Congenital impairments are a primary cause of death in children up to age 10.
  • Observed decreases in child mortality rates reflect population heterogeneity due to latent congenital conditions.