Jove
Visualize
Contact Us

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

429
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:
429
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

205
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...
205
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

235
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
235
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

172
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
172
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

413
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
413
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

142
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
142

You might also read

Related Articles

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

Sort by
Same author

Site-specific wastewater-based surveillance in early detection of COVID-19 new cases and prediction of mass testing outcomes in long-term care facilities.

Scientific reports·2026
Same author

Noise-induced transients in the propagation of epidemic with higher-order interactions.

Chaos (Woodbury, N.Y.)·2026
Same author

An analysis framework for Turing instability on multigraph networks from the perspective of optimization.

Chaos (Woodbury, N.Y.)·2026
Same author

The tale of two assumptions: incorporating healthcare-seeking behaviour in epidemic forecasting.

BMC infectious diseases·2025
Same author

Somatic IRF4 mutations and thymic tropism in primary mediastinal large B-cell lymphoma.

Blood·2025
Same author

Reconstructing and predicting stochastic dynamical systems using probabilistic deep learning.

Chaos (Woodbury, N.Y.)·2025
Same journal

Correction to "Mathematical Modelling of COVID-19 Transmission in Kenya: A Model with Reinfection Transmission Mechanism".

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Ligustrazine Inhibits Lung Phosphodiesterase Activity in a Rat Model of Allergic Asthma.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Empirical Analysis of the Nursing Effect of Intelligent Medical Internet of Things in Postoperative Osteoarthritis.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism.

Computational and mathematical methods in medicine·2024
Same journal

RETRACTION: Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

Computational and mathematical methods in medicine·2024
See all related articles
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 Experiment Video

Updated: Dec 27, 2025

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants
11:44

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants

Published on: May 13, 2015

10.4K

A Deterministic Model for Q Fever Transmission Dynamics within Dairy Cattle Herds: Using Sensitivity Analysis and

Joshua Kiddy K Asamoah1, Zhen Jin1, Gui-Quan Sun1

  • 1Complex Systems Research Center, Shanxi University, Taiyuan 030006, China.

Computational and Mathematical Methods in Medicine
|February 25, 2020
PubMed
Summary
This summary is machine-generated.

This study models Q fever (Coxiella burnetii) in cattle to find optimal control strategies. Mathematical analysis guides effective management to prevent outbreaks and protect human health.

More Related Videos

Development and Validation of a Quantitative PCR Method for Equid Herpesvirus-2 Diagnostics in Respiratory Fluids
09:57

Development and Validation of a Quantitative PCR Method for Equid Herpesvirus-2 Diagnostics in Respiratory Fluids

Published on: March 17, 2016

29.0K
Applying Fluorescence Resonance Energy Transfer FRET to Examine Effector Translocation Efficiency by Coxiella burnetii during siRNA Silencing
10:29

Applying Fluorescence Resonance Energy Transfer FRET to Examine Effector Translocation Efficiency by Coxiella burnetii during siRNA Silencing

Published on: July 6, 2016

11.0K

Related Experiment Videos

Last Updated: Dec 27, 2025

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants
11:44

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants

Published on: May 13, 2015

10.4K
Development and Validation of a Quantitative PCR Method for Equid Herpesvirus-2 Diagnostics in Respiratory Fluids
09:57

Development and Validation of a Quantitative PCR Method for Equid Herpesvirus-2 Diagnostics in Respiratory Fluids

Published on: March 17, 2016

29.0K
Applying Fluorescence Resonance Energy Transfer FRET to Examine Effector Translocation Efficiency by Coxiella burnetii during siRNA Silencing
10:29

Applying Fluorescence Resonance Energy Transfer FRET to Examine Effector Translocation Efficiency by Coxiella burnetii during siRNA Silencing

Published on: July 6, 2016

11.0K

Area of Science:

  • Veterinary Epidemiology
  • Mathematical Biology
  • Infectious Disease Modeling

Background:

  • Q fever, caused by Coxiella burnetii, poses a significant risk to dairy cattle herds and human populations.
  • Understanding disease transmission dynamics is crucial for effective outbreak prevention and control in livestock.

Purpose of the Study:

  • To develop and analyze a differential equation model for Q fever transmission in cattle.
  • To identify optimal management strategies for mitigating Q fever outbreaks in dairy herds.
  • To assess the impact of interventions on disease spread and human exposure.

Main Methods:

  • A differential equation model was formulated to simulate Q fever dynamics.
  • Matrix-theoretic methods and Lyapunov functions were used to analyze model stability and asymptotic behavior.
  • Optimal control theory was applied to time-dependent vaccination, environmental hygiene, and culling strategies.

Main Results:

  • The model's equilibria were proven stable, establishing its predictive capacity.
  • Sensitivity analysis identified key parameters influencing Q fever transmission.
  • Optimal control strategies were derived, highlighting the importance of integrated management practices.

Conclusions:

  • Mathematical modeling provides valuable insights into Q fever epidemiology in cattle.
  • Integrated strategies including vaccination, hygiene, and culling are essential for controlling Q fever.
  • Effective disease management in livestock can reduce zoonotic transmission risks.