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

Stochastic microenvironment models for air pollution exposure.

N Duan1

  • 1RAND Corporation, Santa Monica, CA 90407.

Journal of Exposure Analysis and Environmental Epidemiology
|April 1, 1991
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

Computed tomography (CT) and magnetic resonance imaging (MRI) findings of ovarian sclerosing stromal tumour.

Clinical radiology·2025
Same author

[Study on the invasion of <i>Prevotella intermedia</i> in tissues during carcinogenesis of oral mucosa].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2025
Same author

Re: CT predictive model for torsion angle as a marker for risk of necrosis in patients with adnexal torsion. A reply.

Clinical radiology·2022
Same author

Using transvaginal ultrasonography and MRI to evaluate ovarian volume and follicle count of infertile women: a comparative study.

Clinical radiology·2022
Same author

[Characteristics of magnetic resonance imaging and clinical etiology of ovarian infertility].

Zhonghua yi xue za zhi·2021
Same author

CT predictive model for torsion angle as a marker for risk of necrosis in patients with adnexal torsion.

Clinical radiology·2021
Same journal

Defining exposure science.

Journal of exposure analysis and environmental epidemiology·2005
Same journal

Ammonia exposure and hazard assessment for selected household cleaning product uses.

Journal of exposure analysis and environmental epidemiology·2005
Same journal

Retrospective assessment of exposure to traffic air pollution using the ExTra index in the VESTA French epidemiological study.

Journal of exposure analysis and environmental epidemiology·2005
Same journal

Urinary phytoestrogen concentrations in the U.S. population (1999-2000).

Journal of exposure analysis and environmental epidemiology·2005
Same journal

Farm Family Exposure Study: methods and recruitment practices for a biomonitoring study of pesticide exposure.

Journal of exposure analysis and environmental epidemiology·2005
Same journal

Cost/variance optimization for human exposure assessment studies.

Journal of exposure analysis and environmental epidemiology·2005
See all related articles

Accurate air pollution exposure assessment is vital for risk management. New models, including the proposed variance components model, better estimate individual exposures by considering location and activity, improving accuracy for pollutants like CO, NO2, and VOCs.

Area of Science:

  • Environmental Health Sciences
  • Exposure Science
  • Atmospheric Chemistry

Background:

  • Accurate exposure assessment is critical for air pollution risk assessment and management.
  • Advances in monitoring allow for personal and microenvironment exposure measurements.
  • Pollutant exposure (e.g., CO, NO2, VOCs) is highly dependent on individual location and activities.

Purpose of the Study:

  • To review and compare existing stochastic microenvironment models (Cartesianization and SHAPE).
  • To propose a new, more comprehensive model: the variance components model.
  • To provide a framework for selecting the appropriate model based on variance function analysis.

Main Methods:

  • Review of Cartesianization and SHAPE models, analyzing their assumptions and implications.

Related Experiment Videos

  • Development of the variance components model, integrating aspects of both existing models.
  • Application of the variance components model to the U.S. EPA's Washington CO Study data.
  • Estimation of the variance function using transform-both-sides regression and smearing estimates.

    • Main Results:

    • The variance components model encompasses both Cartesianization (long-term averages) and SHAPE (short-term fluctuations) as special cases.
    • The variance function effectively relates variability to averaging time, aiding model selection.
    • Analysis of the Washington CO Study data demonstrated the importance of both long-term averages and short-term fluctuations, especially for in-transit microenvironments.

    Conclusions:

    • The proposed variance components model offers a more robust approach to air pollution exposure assessment.
    • Understanding the variance function is key to choosing the most suitable model for specific exposure scenarios.
    • Both long-term and short-term exposure variations are significant, particularly in dynamic microenvironments like transit.