Related Experiment Video
Updated: Oct 29, 2025

Author Spotlight: Controlled Human Exposure Model for Tick Research and Lyme Disease Studies
Published on: December 1, 2023
Impact of State-Dependent Dispersal on Disease Prevalence
Daozhou Gao1, Yuan Lou2,3
1Department of Mathematics, Shanghai Normal University, Shanghai, 200234 China.
Abstract:
Based on a susceptible-infected-susceptible patch model, we study the influence of dispersal on the disease prevalence of an individual patch and all patches at the endemic equilibrium. Specifically, we estimate the disease prevalence of each patch and obtain a weak order-preserving result that correlated the patch reproduction number with the patch disease prevalence. Then we assume that dispersal rates of the susceptible and infected populations are proportional and derive the overall disease prevalence, or equivalently, the total infection size at no dispersal or infinite dispersal as well as the right derivative of the total infection size at no dispersal. Furthermore, for the two-patch submodel, two complete classifications of the model parameter space are given: one addressing when dispersal leads to higher or lower overall disease prevalence than no dispersal, and the other concerning how the overall disease prevalence varies with dispersal rate. Numerical simulations are performed to further investigate the effect of movement on disease prevalence.
More Related Videos
12:21A 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
10:30Administering and Detecting Protein Marks on Arthropods for Dispersal Research
Published on: January 28, 2016
Related Concept Videos
Distribution and Dispersion
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Gene Flow
Genetic Drift
Frequency-dependent Selection
Conservation of Small Populations