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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

163
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...
163
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

380
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:
380
Causality in Epidemiology01:21

Causality in Epidemiology

1.3K
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...
1.3K
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

2.9K
The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
2.9K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

369
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
369
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

6.6K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
6.6K

You might also read

Related Articles

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

Sort by
Same author

First report of safety and outcomes of radiofrequency ablation of renal tumors using a new automated energy delivery-controlled system.

Minerva urology and nephrology·2026
Same author

A Case of Brugada Syndrome… or Something Else? Behind Type 1 Brugada Pattern.

Clinical case reports·2026
Same author

Long-term burden of heart failure: a population-based cohort study on mortality and rehospitalizations.

Scientific reports·2026
Same author

Prevalence and significance of ECG abnormalities in athletes: Data from a multicenter Italian registry.

International journal of cardiology·2026
Same author

Changes in the epidemiology of heart failure in the decade 2014-2023: insights from the AQUORE retrospective cohort study.

BMJ open·2026
Same author

The self-efficacy perception in cardiovascular patients: A cohort study on self-care management.

Journal of psychosomatic research·2026

Related Experiment Video

Updated: Dec 1, 2025

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

36.8K

Beyond the peak: A deterministic compartment model for exploring the Covid-19 evolution in Italy.

Silvio Romano1, Annalisa Fierro2, Antonella Liccardo1

  • 1Physics Department, Università degli Studi di Napoli "Federico II", Napoli, Italy.

Plos One
|November 6, 2020
PubMed
Summary

This study used a compartment model to analyze COVID-19's spread, finding that reduced susceptibility and self-protective behaviors were key to its decline. Effective containment requires isolating cases and widespread testing.

More Related Videos

Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research
06:08

Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research

Published on: September 8, 2023

1.5K
Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro
09:26

Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro

Published on: June 6, 2025

888

Related Experiment Videos

Last Updated: Dec 1, 2025

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

36.8K
Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research
06:08

Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research

Published on: September 8, 2023

1.5K
Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro
09:26

Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro

Published on: June 6, 2025

888

Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • The COVID-19 pandemic caused significant global mortality and strained healthcare systems.
  • Understanding epidemic dynamics and containment measure impacts is crucial.

Purpose of the Study:

  • To retrospectively analyze COVID-19 epidemic spreading using a deterministic compartment model.
  • To identify key parameters influencing epidemic evolution and decline.

Main Methods:

  • Development of a deterministic compartment model.
  • Integration of surveillance, mobility, and testing data.
  • Retrospective analysis of epidemiological parameters.

Main Results:

  • Epidemic decline was attributed to self-protective behaviors and a reduction in population susceptibility.
  • Sensitivity analysis highlighted the importance of case isolation and extensive testing.

Conclusions:

  • Rigorous isolation of diagnosed cases and widespread testing are critical for controlling COVID-19.
  • Future pandemic control relies on border protection and sustained self-protective measures.