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

Predator-Prey Interactions02:39

Predator-Prey Interactions

Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.Although predation is commonly associated with carnivory, for...
Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Microbial Interactions: Predation01:28

Microbial Interactions: Predation

Microbial predation refers to the process by which one microorganism kills and consumes another to obtain nutrients and energy. It encompasses both bacterial and protozoan predators. This interaction plays a crucial role in shaping microbial communities and regulating nutrient cycling.Bacterial Predators: Epibiotic vs. EndobioticBacterial predators are classified based on their mode of attack as either epibiotic or endobiotic. Epibiotic predators, such as Vampirococcus, attach to the surface of...
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.Positive Frequency-Dependent SelectionIn positive...
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...

You might also read

Related Articles

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

Sort by
Same author

Bifurcation, chaos, multistability, and pattern formation of a discrete predator-prey model with Allee effect.

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

A genome-wide association study identifies EYA2 as a contributing gene for diabetic retinopathy in type 2 diabetes.

Communications medicine·2026
Same author

The Histopathological Spectrum of Breast Lesions in Bangladeshi Women.

Cureus·2026
Same author

Silent Witnesses: Exploring the Impact of Cone Beam Computed Tomography on Forensic Investigations.

Cureus·2025
Same author

Sepsis in burns: lessons learned, challenges remain.

Military Medical Research·2025
Same author

A detailed analysis of the spatial dynamics of a food-chain model with Allee and fear effect.

Mathematical biosciences and engineering : MBE·2025
Same journal

Dynamical Analysis of an Impulsive Model of Cancer Cell Populations Under Radiotherapy.

Mathematical medicine and biology : a journal of the IMA·2026
Same journal

Mathematical modelling of biofilm growth on medical implants incorporating nutrient-dependent phenotypic switching.

Mathematical medicine and biology : a journal of the IMA·2026
Same journal

Modeling opioid use disorder in hand surgery patients.

Mathematical medicine and biology : a journal of the IMA·2026
Same journal

Tuning Butterworth filter's parameters in SPECT reconstructions via kernel-based Bayesian optimization with a no-reference image evaluation metric.

Mathematical medicine and biology : a journal of the IMA·2025
Same journal

Mechanical cell competition in a model of epithelial layer with size dependent proliferation.

Mathematical medicine and biology : a journal of the IMA·2025
Same journal

The effect of cell adhesion on the interpretation of scratch assay data: a non-local model.

Mathematical medicine and biology : a journal of the IMA·2025
See all related articles

Related Experiment Video

Updated: Jun 19, 2026

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

When a predator avoids infected prey: a model-based theoretical study.

Mainul Haque1, David Greenhalgh

  • 1School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK. mainul.haque@rediffmail.com

Mathematical Medicine and Biology : a Journal of the IMA
|October 9, 2009
PubMed
Summary
This summary is machine-generated.

This study models predator-prey dynamics with a disease affecting prey. Removing predators can alter the ecoepidemiological system

More Related Videos

Drosophila Passive Avoidance Behavior as a New Paradigm to Study Associative Aversive Learning
06:20

Drosophila Passive Avoidance Behavior as a New Paradigm to Study Associative Aversive Learning

Published on: October 15, 2021

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

Related Experiment Videos

Last Updated: Jun 19, 2026

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

Drosophila Passive Avoidance Behavior as a New Paradigm to Study Associative Aversive Learning
06:20

Drosophila Passive Avoidance Behavior as a New Paradigm to Study Associative Aversive Learning

Published on: October 15, 2021

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

Area of Science:

  • Mathematical Biology
  • Ecology
  • Epidemiology

Background:

  • Predator-prey models are fundamental in ecology.
  • Disease dynamics can significantly impact host populations.
  • Integrating disease into predator-prey systems reveals complex interactions.

Purpose of the Study:

  • To investigate a predator-prey model incorporating a susceptible-infected-susceptible (SIS) disease in prey.
  • To analyze the impact of disease on prey population dynamics and predator-prey interactions.
  • To examine the effect of predator removal on the stability and behavior of the ecoepidemiological system.

Main Methods:

  • Formulation of a mathematical model for predator-prey dynamics with prey disease (SIS).
  • Analysis of both local and global stability of system equilibria.
  • Mathematical modeling using fractions and absolute numbers of prey populations.
  • Numerical simulations with realistic parameter values.

Main Results:

  • Identified six possible equilibria and three critical thresholds for the system.
  • Demonstrated a unique, locally stable equilibrium always exists.
  • Conjectured global behavior and confirmed through simulations.
  • Showcased how predator removal influences the ecoepidemiological system.

Conclusions:

  • The integrated ecoepidemiological model provides insights into population dynamics under disease and predation pressure.
  • Predator removal can significantly alter the stability and outcomes of the system.
  • Findings are relevant to real-world scenarios, such as human predation on diseased fish populations.