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

Refining a risk model for occupational tuberculosis transmission

M Nicas1

  • 1Center for Occupational and Environmental Health, School of Public Health, University of California, Berkeley 94720, USA.

American Industrial Hygiene Association Journal
|January 1, 1996
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

Task-specific lead exposure during residential lead hazard reduction projects.

Applied occupational and environmental hygiene·2001
Same author

Modeling turbulent diffusion and advection of indoor air contaminants by Markov chains.

AIHAJ : a journal for the science of occupational and environmental health and safety·2001
Same author

Markov modeling of contaminant concentrations in indoor air.

AIHAJ : a journal for the science of occupational and environmental health and safety·2000
Same author

Risk-based selection of respirators against infectious aerosols: application to anthrax spores.

Journal of occupational and environmental medicine·2000
Same author

Regulating the risk of tuberculosis transmission among health care workers.

AIHAJ : a journal for the science of occupational and environmental health and safety·2000
Same author

Tuberculosis isolation: comparison of written procedures and actual practices in three California hospitals.

Infection control and hospital epidemiology·2000

This study enhances the Wells-Riley model for airborne tuberculosis (Mycobacterium tuberculosis) infection risk in healthcare workers using respiratory protection. It introduces gamma distributions to model exposure, providing better risk assessments with or without masks.

Area of Science:

  • Occupational Health
  • Infectious Disease Modeling
  • Aerosol Science

Background:

  • The Wells-Riley equation (Poisson model) traditionally estimates airborne infection risk.
  • Healthcare workers face risks from airborne Mycobacterium tuberculosis (M.tb).
  • Previous work established beta distribution for respirator penetration variability.

Purpose of the Study:

  • To modify the Wells-Riley model for respiratory protection effectiveness.
  • To incorporate time-varying aerosol exposure using gamma distributions.
  • To calculate cumulative infection risk for individual workers and populations.

Main Methods:

  • Applied gamma distribution to model time-varying M.tb aerosol exposure.
  • Developed analytical solutions for cumulative infection risk.

Related Experiment Videos

  • Compared gamma distribution with lognormal distribution for aerosol concentrations.

    • Main Results:

    • Presented analytical solutions for individual and population cumulative infection risk.
    • Demonstrated the utility of gamma distribution for modeling M.tb aerosol exposure.
    • Gamma distribution effectively describes right-skewed aerosol concentration data.

    Conclusions:

    • Modified Wells-Riley model with gamma distribution improves risk assessment for healthcare workers.
    • The model accounts for individual and population risk with and without respiratory protection.
    • Gamma distribution offers a suitable alternative for modeling aerosol exposure dynamics.