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 Experiment Videos

Disease emergence in multi-host epidemic models.

Robert K McCormack1, Linda J S Allen

  • 1Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409-1042, USA. rmccormack16@hotmail.com

Mathematical Medicine and Biology : a Journal of the IMA
|October 3, 2006
PubMed
Summary

The emergence of infectious diseases increases with the number of hosts a pathogen can infect. This study develops multi-host epidemic models to understand disease spread and emergence conditions.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Pathogen spillover in a seasonal cholera model.

Mathematical biosciences·2026
Same author

Correction to: Stochastic Models of Zoonotic Avian Influenza with Multiple Hosts, Environmental Transmission, and Migration in the Natural Reservoir.

Bulletin of mathematical biology·2026
Same author

Correction: Stochastic Models of Zoonotic Avian Influenza with Multiple Hosts, Environmental Transmission, and Migration in the Natural Reservoir.

Bulletin of mathematical biology·2025
Same author

Investigating seasonal disease emergence and extinction in stochastic epidemic models.

Mathematical biosciences·2025
Same author

Stochastic Models of Zoonotic Avian Influenza with Multiple Hosts, Environmental Transmission, and Migration in the Natural Reservoir.

Bulletin of mathematical biology·2024
Same author

Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding.

Bulletin of mathematical biology·2024

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Infectious Disease Dynamics

Background:

  • Pathogens often infect multiple hosts, creating diverse transmission routes.
  • Understanding multi-host pathogen dynamics is crucial for predicting and controlling disease emergence.

Purpose of the Study:

  • To formulate and analyze multi-host epidemic models (SIS and SIR).
  • To determine conditions for disease emergence in multi-host systems.
  • To investigate the impact of the number of hosts on disease spread.

Main Methods:

  • Formulation of Susceptible-Infected-Susceptible (SIS) and Susceptible-Infected-Recovered (SIR) epidemic models for 'n' hosts.
  • Computation of the basic reproduction number (R0).
  • Analysis of the global stability of endemic equilibria for the two-host SIS model.

Related Experiment Videos

Main Results:

  • The basic reproduction number increases with the number of hosts ('n').
  • The likelihood of disease emergence is positively correlated with the number of infected hosts.
  • Conditions for the global stability of endemic states were derived for the two-host model.

Conclusions:

  • Increasing the number of hosts amplifies the potential for infectious disease emergence.
  • The developed models provide insights into zoonotic diseases like hantavirus.
  • Mathematical modeling is essential for understanding complex epidemiological patterns in multi-host systems.