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Cholera is an acute gastrointestinal disease caused by the Gram-negative bacterium Vibrio cholerae. It is transmitted primarily via the fecal-oral route through the ingestion of contaminated water or food.Vibrio cholerae is a motile, Gram-negative bacterium of the family Vibrionaceae, primarily associated with waterborne outbreaks in areas with inadequate sanitation. Although over 200 serogroups of V. cholerae exist, only O1 and O139 are responsible for epidemic cholera. The O1 serogroup,...
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Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
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Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
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Updated: Apr 27, 2026

Vibrio cholerae: Model Organism to Study Bacterial Pathogenesis - Interview
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Modelling cholera in periodic environments.

Drew Posny1, Jin Wang

  • 1a Department of Mathematics and Statistics , Old Dominion University , Norfolk , VA 23529 , USA.

Journal of Biological Dynamics
|June 26, 2014
PubMed
Summary

This study introduces a mathematical model for cholera dynamics in environments with seasonal variations. The model analyzes epidemic and endemic cholera patterns using the basic reproduction number and numerical simulations.

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Infectious Disease Modeling

Background:

  • Cholera outbreaks are influenced by environmental factors, including seasonality.
  • Understanding disease dynamics is crucial for effective public health interventions.

Purpose of the Study:

  • To develop a deterministic compartmental model for cholera dynamics in periodic environments.
  • To analyze the impact of seasonal variations on cholera incidence and pathogen concentration.
  • To investigate the epidemic and endemic dynamics of cholera.

Main Methods:

  • Formulation of a deterministic compartmental model incorporating seasonal variations.
  • Derivation of the basic reproduction number for the periodic model.
  • Analytical analysis of epidemic and endemic dynamics.

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  • Numerical simulations to validate analytical predictions.
  • Main Results:

    • The model successfully incorporates seasonal variations into cholera dynamics.
    • The basic reproduction number provides insights into epidemic potential.
    • Analysis reveals key factors influencing cholera spread in periodic environments.
    • Numerical simulations confirm the accuracy of the analytical predictions.

    Conclusions:

    • The proposed model offers a robust framework for studying cholera in seasonal environments.
    • The findings contribute to a better understanding of cholera epidemiology.
    • This work supports the development of targeted public health strategies for cholera control.