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

312
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...
312
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

3.0K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
3.0K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

670
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
670
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

450
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
450
Deindividuation00:57

Deindividuation

31.0K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
31.0K
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

2.4K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
2.4K

You might also read

Related Articles

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

Sort by
Same author

Chronic disease patients have fewer social contacts: A pilot survey with implications for transmission dynamics.

Infectious Disease Modelling·2024
Same author

Modeling Respiratory Syncytial Virus Adult Vaccination in the United States With a Dynamic Transmission Model.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2023
Same author

Geographical variation of COVID-19 vaccination coverage, ethnic diversity and population composition in Flanders.

Vaccine: X·2022
Same author

How can early stage economic evaluation help guide research for future vaccines?

Vaccine·2021
Same author

Exploratory Analysis of the Economically Justifiable Price of a Hypothetical RSV Vaccine for Older Adults in the Netherlands and the United Kingdom.

The Journal of infectious diseases·2021
Same author

Uptake of hepatitis C virus screening and treatment in persons under opioid substitution therapy between 2008 and 2013 in Belgium.

Acta gastro-enterologica Belgica·2021
Same journal

RELATIONSHIPS BETWEEN SOME SOIL PARAMETERS AND WEED COMMUNITY (CASE STUDY: WINTER WHEAT FIELDS OF UREMIA-IRAN).

Communications in agricultural and applied biological sciences·2016
Same journal

EASTERN DODDER (CUSCUTA MONOGYNA VAHL.) SEED GERMINATION AFFECTED BY SOME HERBACEOUS DISTILLATES.

Communications in agricultural and applied biological sciences·2016
Same journal

EFFICACY OF METAMITRON IN APPLE THINNING IN SERBIA.

Communications in agricultural and applied biological sciences·2016
Same journal

RESISTANCE TO ALS-INHIBITING HERBICIDES IN WEED POPULATIONS FROM BELGIAN WHEAT FIELDS.

Communications in agricultural and applied biological sciences·2016
Same journal

INTEGRATED WEED CONTROL IN MAIZE.

Communications in agricultural and applied biological sciences·2016
Same journal

EFFECTS OF SOME BIOINSECTICIDES AND ENTOMOPATHOGENIC FUNGI ON COLORADO POTATO BEETLE (LEPTINOTARSA DECEMLINEATA L.).

Communications in agricultural and applied biological sciences·2016
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests
08:30

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests

Published on: September 6, 2024

2.8K

INDIVIDUAL-BASED MODELS: POWERFUL OR POWER STRUGGLE?

L Willem, S Stijven, N Hens

    Communications in Agricultural and Applied Biological Sciences
    |December 4, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Developing efficient individual-based models (IBMs) for infectious diseases is crucial. Optimizing code and using active learning significantly reduces simulation time and enhances understanding of vaccination impacts.

    More Related Videos

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
    04:35

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

    Published on: July 3, 2020

    3.8K
    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.4K

    Related Experiment Videos

    Last Updated: Mar 7, 2026

    Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests
    08:30

    Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests

    Published on: September 6, 2024

    2.8K
    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
    04:35

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

    Published on: July 3, 2020

    3.8K
    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.4K

    Area of Science:

    • Computational epidemiology
    • Infectious disease modeling
    • High-performance computing

    Background:

    • Individual-based models (IBMs) are powerful for research but complex and computationally intensive.
    • Novel hardware necessitates adapted software for large-scale IBMs.
    • Systematic exploration is vital for understanding complex models.

    Purpose of the Study:

    • To develop efficient IBMs for vaccine-preventable infectious diseases.
    • To explore model performance optimization and active learning strategies.
    • To enhance understanding of vaccination dynamics and herd immunity.

    Main Methods:

    • Optimized IBM simulator code for performance, focusing on data locality and attribute storage.
    • Improved model performance by structuring contacts based on health status.
    • Implemented an active learning approach using iterative surrogate modeling and symbolic regression.

    Main Results:

    • Significant runtime reductions achieved through code optimization (e.g., sorting population, separate attribute storage).
    • Model performance improved by up to 70% via health-status-based contact structuring.
    • Identified an inverse relationship between vaccination coverage and clinical attack rate, supported by herd immunity.

    Conclusions:

    • Optimized IBMs and active learning accelerate research and improve system understanding.
    • Efficient coding practices are essential for large-scale IBM simulations.
    • The study provides insights for optimizing vaccination strategies and reducing research uncertainty.