Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Modeling with Differential Equations

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...

Steps in Outbreak Investigation

Steps in Outbreak Investigation

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:

Viral Recombination

Viral Recombination

Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.

Microbial Interactions: Competition

Microbial Interactions: Competition

Microbial competition is an ecological interaction in which microorganisms vie for limited resources within shared environments. These resources may include nutrients, space, or light, depending on the system. The intensity and outcome of competition are influenced by the environmental context, such as nutrient availability, spatial constraints, and the diversity of microbial species present. These competitive interactions significantly influence the structure, function, and resilience of...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

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 squares (OLS)...

Evolution of New Traits in Microbes

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...

You might also read

Related Articles

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

Sort by

Same author

Screening of core genes and pathways in breast cancer development via comprehensive analysis of multi gene expression datasets.

Oncology letters·2019

Same author

Heterotropic activation of flavonoids on cytochrome P450 3A4: A case example of alleviating dronedarone-induced cytotoxicity.

Toxicology letters·2019

Same author

S100A8 facilitates cholangiocarcinoma metastasis via upregulation of VEGF through TLR4/NF‑κB pathway activation.

International journal of oncology·2019

Same author

Combined Effects of <i>UGT1A1 and SLCO1B1</i> Variants on Chinese Adult Mild Unconjugated Hyperbilirubinemia.

Frontiers in genetics·2019

Same author

Pharmacological blockage of ICAM-1 improves angiotensin II-induced cardiac remodeling by inhibiting adhesion of LFA-1<sup>+</sup> monocytes.

American journal of physiology. Heart and circulatory physiology·2019

Same author

Catalytic mechanism of the PrhA (V150L/A232S) double mutant involved in the fungal meroterpenoid biosynthetic pathway: a QM/MM study.

Physical chemistry chemical physics : PCCP·2019

Search research articles

Related Experiment Video

Updated: Jun 23, 2026

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

Published on: September 28, 2022

Modeling two-strain competition with reinfection: Mathematical analyses and epidemiological implications.

Jie Bai¹, Jin Wang²

¹School of Mathematics and Statistics, Liaoning University, Shenyang, 110036, China.

Infectious Disease Modelling

|June 22, 2026

Summary

This study introduces a new epidemic model to understand how competing pathogen strains and reinfection affect disease spread. Effective control strategies are crucial for managing both initial infections and reinfections by emerging strains.

Keywords:

COVID-19 Mathematical modeling Multiple strains Reinfection

More Related Videos

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates

Published on: July 22, 2019

Digital PCR-based Competitive Index for High-throughput Analysis of Fitness in Salmonella

Digital PCR-based Competitive Index for High-throughput Analysis of Fitness in Salmonella

Published on: May 13, 2019

Related Experiment Videos

Last Updated: Jun 23, 2026

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

Published on: September 28, 2022

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates

Published on: July 22, 2019

Digital PCR-based Competitive Index for High-throughput Analysis of Fitness in Salmonella

Digital PCR-based Competitive Index for High-throughput Analysis of Fitness in Salmonella

Published on: May 13, 2019

Area of Science:

Epidemiology
Mathematical Biology
Infectious Disease Dynamics

Background:

Understanding pathogen strain competition is vital for public health.
Reinfection dynamics can significantly alter disease progression and control.

Purpose of the Study:

To develop and analyze a novel mathematical model for infectious diseases with multiple competing strains.
To investigate the impact of strain competition and reinfection on disease transmission and spread.
To assess the stability of disease equilibria under various epidemiological scenarios.

Main Methods:

Development of a compartmental epidemic model incorporating strain competition and reinfection.
Analysis of the model's dynamical behavior, including equilibrium point identification and stability analysis.
Numerical simulations using real-world COVID-19 data for model calibration and validation.

Main Results:

The model demonstrates complex transmission patterns arising from the interaction between emerging and receding pathogen strains.
Equilibrium point analysis reveals critical thresholds influencing disease persistence and eradication.
Simulations highlight the significant role of reinfection in sustaining disease outbreaks.

Conclusions:

Mathematical modeling provides crucial insights into the dynamics of multi-strain infectious diseases.
Effective control strategies must address both primary infection and reinfection pathways.
The interplay between strains necessitates adaptive and comprehensive public health interventions.