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

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 condition at a...
Population Growth00:57

Population Growth

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.
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
Applications of Life Tables01:22

Applications of Life Tables

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...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

You might also read

Related Articles

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

Sort by
Same author

Venous thromboembolism after mechanical restraint in psychiatric hospitals: population based cohort and self-controlled case series study.

BMJ (Clinical research ed.)·2026
Same author

[Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration - a Korean translation].

Ewha medical journal·2025
Same author

Re: Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness.

Epidemiology (Cambridge, Mass.)·2025
Same author

Impacts of the COVID-19 pandemic on deprivation-level differences in cardiovascular hospitalisations: a comparison of England and Denmark using the OpenSAFELY platform and National Registry Data.

BMJ open·2024
Same author

The combined impact of migraine and gestational diabetes on long-term risk of premature myocardial infarction and stroke: A population-based cohort study.

Headache·2024
Same author

Excess Mortality Calculations to Assess the Impact of the COVID-19 Pandemic: Concepts and Methodological Issues.

American journal of public health·2024

Related Experiment Video

Updated: May 17, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Incidence rates in dynamic populations.

Jan P Vandenbroucke1, Neil Pearce

  • 1Department of Clinical Epidemiology, Leiden University Medical Center, RC Leiden, The Netherlands. J.P.Vandenbroucke@lumc.nl

International Journal of Epidemiology
|October 10, 2012
PubMed
Summary

This article explains calculating incidence rates in dynamic populations using basic math and statistics. It covers teaching methods for various course levels and cohort study calculations.

Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Understanding incidence rates is crucial for epidemiological studies.
  • Dynamic populations present unique challenges in rate calculation.

Purpose of the Study:

  • To elucidate the calculation of incidence rates in dynamic populations.
  • To provide pedagogical approaches for teaching incidence rate calculation.
  • To outline the rationale behind incidence rate calculation in cohort studies.

Main Methods:

  • Utilizes fundamental mathematical and statistical principles.
  • Explains incidence rate calculation in dynamic populations.
  • Details teaching strategies for different educational levels.

Main Results:

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Related Experiment Videos

Last Updated: May 17, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

  • Provides a clear framework for calculating incidence rates.
  • Offers guidance on effective instruction of epidemiological concepts.
  • Clarifies the application of incidence rates in cohort analysis.
  • Conclusions:

    • The calculation of incidence rates in dynamic populations can be simplified with basic statistical concepts.
    • Effective teaching methodologies are essential for mastering epidemiological calculations.
    • Incidence rate calculation is a fundamental component of cohort study design and analysis.