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Dose response models for infectious gastroenteritis.

P F Teunis1, N J Nagelkerke, C N Haas

  • 1National Institute for Public Health and the Environment, Bilthoven, The Netherlands.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|April 15, 2000
PubMed
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Pathogenic microorganisms must overcome host barriers to cause infection. This study validates the Beta-Poisson model for multiple barriers and explores dose-response relationships in acute gastroenteritis, finding varied illness probabilities based on pathogen dose.

Area of Science:

  • Microbiology
  • Immunology
  • Risk Assessment

Background:

  • Pathogenic microorganisms ingested via food or water face host barriers.
  • Successful colonization requires overcoming these barriers, forming the basis for infection dose-response models.
  • Host defenses balance pathogen colonization potential, influencing infection duration.

Purpose of the Study:

  • To corroborate the Beta-Poisson model for multiple host barriers against ingested pathogens.
  • To develop a dose-response model for acute gastroenteritis based on host illness hazard.
  • To investigate how ingested pathogen dose affects illness probability.

Main Methods:

  • Utilized the Beta-Poisson model to assess pathogen survival across multiple host barriers.
  • Developed a dose-response relationship for acute gastroenteritis.

Related Experiment Videos

  • Analyzed literature data from volunteer experiments on pathogen ingestion.

    • Main Results:

    • The Beta-Poisson model's utility for multiple barriers was confirmed.
    • Three distinct dose-response patterns for illness probability were observed: increasing, decreasing, and independent of dose.
    • These patterns reflect diverse pathogen-host interaction modes.

    Conclusions:

    • The Beta-Poisson model is effective for evaluating pathogen barriers.
    • Ingested dose can influence acute gastroenteritis risk in varied ways.
    • Understanding these dose-response dynamics is crucial for quantitative microbial risk assessment.