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

Diffusion01:12

Diffusion

217.1K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
217.1K
Diffusion01:21

Diffusion

6.3K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.3K
The Periodic Table03:25

The Periodic Table

109.7K
As early chemists discovered more elements, they realized that various elements could be grouped by their similar chemical behaviors. One such grouping includes lithium (Li), sodium (Na), and potassium (K). All of these elements are shiny, conduct heat and electricity well, and have similar chemical properties. A second grouping includes calcium (Ca), strontium (Sr), and barium (Ba), which also are shiny, good conductors of heat and electricity, and have chemical properties in common. However,...
109.7K
Periodic Classification of the Elements04:00

Periodic Classification of the Elements

58.8K
The periodic table arranges atoms based on increasing atomic number so that elements with the same chemical properties recur periodically. When their electron configurations are added to the table, a periodic recurrence of similar electron configurations in the outer shells of these elements is observed. Because they are in the outer shells of an atom, valence electrons play the most important role in chemical reactions. The outer electrons have the highest energy of the electrons in an atom...
58.8K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.7K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
1.7K
Effective Value of a Periodic Waveform01:07

Effective Value of a Periodic Waveform

1.2K
The concept of effective value, the root mean square (RMS) value, is crucial in understanding electrical circuits and power delivery. This idea emerges from the necessity to measure the effectiveness of a voltage or current source in supplying power to a resistive load.
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...
1.2K

You might also read

Related Articles

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

Sort by
Same journal

Reinterpreting stochastic optimal control under ecological uncertainty: Inferring decision urgency from vegetation biomass dynamics.

Mathematical biosciences and engineering : MBE·2026
Same journal

Delayed immune responses and heterogeneous exposure shape within-host viral dynamics.

Mathematical biosciences and engineering : MBE·2026
Same journal

X-factorable transformation-based control of interconnected Lotka-Volterra systems.

Mathematical biosciences and engineering : MBE·2026
Same journal

Editorial: Smart Cities, Innovating in the Transformation of Urban Environments.

Mathematical biosciences and engineering : MBE·2026
Same journal

Stationary and oscillatory corrosion patterns in a modified Barkley-Leslie-Gower model.

Mathematical biosciences and engineering : MBE·2026
Same journal

Fractional gender structured model of human papillomavirus (HPV).

Mathematical biosciences and engineering : MBE·2026

Related Experiment Video

Updated: Jan 24, 2026

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.7K

A diffusive SIS epidemic model in a heterogeneous and periodically evolvingenvironment.

Li Qiong Pu1,2, Zhi Gui Lin1

  • 1School of Mathematical Science, Yangzhou University, Yangzhou 225002, China.

Mathematical Biosciences and Engineering : MBE
|May 30, 2019
PubMed
Summary

Periodic habitat evolution impacts infectious disease control. A small evolving rate in the habitat benefits the prevention and control of infectious diseases, according to our study.

Keywords:
basic reproduction numberdiffusive SIS modelevolving domainheterogeneous environmentstability

More Related Videos

Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry
09:12

Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry

Published on: January 12, 2018

15.4K
Fabrication of Periodic Gold Nanocup Arrays Using Colloidal Lithography
08:21

Fabrication of Periodic Gold Nanocup Arrays Using Colloidal Lithography

Published on: September 2, 2017

7.6K

Related Experiment Videos

Last Updated: Jan 24, 2026

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.7K
Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry
09:12

Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry

Published on: January 12, 2018

15.4K
Fabrication of Periodic Gold Nanocup Arrays Using Colloidal Lithography
08:21

Fabrication of Periodic Gold Nanocup Arrays Using Colloidal Lithography

Published on: September 2, 2017

7.6K

Area of Science:

  • Mathematical modeling
  • Epidemiology
  • Dynamical systems

Background:

  • Infectious disease dynamics are influenced by environmental factors.
  • Habitat changes can alter disease transmission patterns.
  • Understanding these dynamics is crucial for public health interventions.

Purpose of the Study:

  • To investigate how periodic habitat evolution affects infectious disease spread.
  • To analyze a diffusive SIS epidemic model in a periodically evolving domain.
  • To determine the relationship between habitat dynamics and disease control.

Main Methods:

  • Developed a diffusive SIS epidemic model in a heterogeneous, periodically evolving domain.
  • Transformed the model into a reaction-diffusion problem in a fixed domain.
  • Utilized principal eigenvalue and upper/lower solutions methods to analyze the model.
  • Defined a basic reproduction number dependent on evolving rate and spatial heterogeneity.

Main Results:

  • The basic reproduction number is influenced by the domain's evolving rate and spatial heterogeneity.
  • Theoretical analysis and numerical simulations were performed.
  • A biological explanation for the impact of regional evolution on disease was provided.

Conclusions:

  • Periodic habitat evolution significantly impacts infectious disease dynamics.
  • A small evolving rate in the habitat is beneficial for controlling infectious diseases.
  • The findings offer insights for disease prevention and control strategies in changing environments.