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

Population dynamic interference among childhood diseases

P Rohani1, D J Earn, B Finkenstädt

  • 1Department of Zoology, University of Cambridge, UK. pej@zoo.cam.ac.uk

Proceedings. Biological Sciences
|December 8, 1998
PubMed
Summary
This summary is machine-generated.

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

Circadian and chemotherapy-related changes in urinary modified nucleosides excretion in patients with metastatic colorectal cancer.

Scientific reports·2021
Same author

Asymptomatic <i>Bordetella pertussis</i> infections in young African infants and their mothers identified within a longitudinal cohort.

medRxiv : the preprint server for health sciences·2020
Same author

Using Serology to Anticipate Measles Post-honeymoon Period Outbreaks.

Trends in microbiology·2020
Same author

Age-structure and transient dynamics in epidemiological systems.

Journal of the Royal Society, Interface·2019
Same author

Increased number of regulatory T cells in esophageal tissue of patients with eosinophilic esophagitis in comparison to gastro esophageal reflux disease and control groups.

Allergologia et immunopathologia·2019
Same author

Commentary: resolving pertussis resurgence and vaccine immunity using mathematical transmission models.

Human vaccines & immunotherapeutics·2018
Same journal

Correction to: 'In search of the genetic variants of human sex ratio at birth: was Fisher wrong about sex ratio evolution?' (2024), by Song & Zhang.

Proceedings. Biological sciences·2026
Same journal

Landscape context affects physiological but not genetic proxies of butterfly movement.

Proceedings. Biological sciences·2026
Same journal

Visual attention-related processes in desert locusts' collective-motion-related decision-making.

Proceedings. Biological sciences·2026
Same journal

The prolonged reemergence of megapredatory pelagic fishes.

Proceedings. Biological sciences·2026
Same journal

Background check: mutational input to size variation depends on ancestor's breeding value.

Proceedings. Biological sciences·2026
Same journal

Reconstructing the viral histories of human, simian and prosimian immunodeficiency viruses across multiple evolutionary timescales.

Proceedings. Biological sciences·2026
See all related articles

Epidemics of one infectious disease can indirectly impact another by competing for susceptible hosts. This study models how temporary immunity, like after childhood diseases, affects disease dynamics, predicting significant population-level interference.

Area of Science:

  • Mathematical modeling of infectious disease dynamics.
  • Epidemiology and population ecology.
  • Understanding host-parasite interactions.

Background:

  • Epidemiologists typically model single infectious diseases.
  • Parasitic species compete for susceptible hosts, creating indirect ecological effects.
  • Convalescence after infection temporarily removes individuals from disease exposure.

Purpose of the Study:

  • To present a mathematical model for the dynamics of two infectious diseases.
  • To incorporate temporary removal of susceptible individuals (convalescence).
  • To explore population-level consequences of temporary insusceptibility, particularly in childhood diseases.

Main Methods:

  • Development of a mathematical model for two co-circulating infectious diseases.

Related Experiment Videos

  • Inclusion of a parameter representing temporary removal of susceptible hosts.
  • Analysis of disease dynamics influenced by contact rate variations (e.g., school terms).

    • Main Results:

    • The model predicts significant population dynamic interference between diseases.
    • Temporary insusceptibility, such as after childhood illnesses, can alter disease spread.
    • Interference effects are observable even with limited historical data.

    Conclusions:

    • Interactions between infectious diseases are crucial for accurate epidemiological modeling.
    • Temporary immunity and varying contact rates significantly influence disease dynamics.
    • The model highlights the need to consider indirect effects in disease control strategies.