IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v18y1998i5p611-619.html
   My bibliography  Save this article

An Empirical Approach for Deriving Information on Total Duration of Exposure from Information on Historical Exposure

Author

Listed:
  • Paul S. Price
  • Paul K. Scott
  • Natalie D. Wilson
  • Dennis J. Paustenbach

Abstract

Exposure duration is an important component in determining long‐term dose rates associated with exposure to environmental contaminants. Surveys of exposed populations collect information on individuals' past behaviors, including the durations of a behavior up to the time of the survey. This paper presents an empirical approach for determining the distribution of total durations that is consistent with the distribution past durations obtained from surveys. This approach is appropriate where the rates of beginning and ending a behavior are relatively constant over time. The approach allows the incorporation of information on the distribution of age in a population into the determination of the distribution of durations. The paper also explores the impact of “longevity” bias on survey data. A case study of the application of this approach to two angler populations is also provided. The results of the case study have characteristics similar to the results reported by Israeli and Nelson (Risk Anal. 12, 65‐72 (1992)) from their analytical model of residential duration. Specifically, the average period of time for the total duration in the entire population is shorter than the average period of time reported for historical duration in the surveyed individuals.

Suggested Citation

  • Paul S. Price & Paul K. Scott & Natalie D. Wilson & Dennis J. Paustenbach, 1998. "An Empirical Approach for Deriving Information on Total Duration of Exposure from Information on Historical Exposure," Risk Analysis, John Wiley & Sons, vol. 18(5), pages 611-619, October.
    • Handle: RePEc:wly:riskan:v:18:y:1998:i:5:p:611-619
    DOI: 10.1111/j.1539-6924.1998.tb00374.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.1998.tb00374.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1539-6924.1998.tb00374.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Miron Israeli & Christopher B. Nelson, 1992. "Distribution and Expected Time of Residence for U.S. Households," Risk Analysis, John Wiley & Sons, vol. 12(1), pages 65-72, March.
    2. Brent Finley & Deborah Proctor & Paul Scott & Natalie Harrington & Dennis Paustenbach & Paul Price, 1994. "Recommended Distributions for Exposure Factors Frequently Used in Health Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 14(4), pages 533-553, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ellen S. Ebert & Natalie Wilson & Mitch Wacksman & John R. Loper & John D. Schell & Alan Fowler, 2012. "Utilization Survey of a Rural Creek Fishery in Central Alabama," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 416-432, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Randy L. Maddalena & Thomas E. McKone & Michael D. Sohn, 2004. "Standardized Approach for Developing Probabilistic Exposure Factor Distributions," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1185-1199, October.
    2. Monika Filipsson & Tomas Öberg & Bo Bergbäck, 2011. "Variability and Uncertainty in Swedish Exposure Factors for Use in Quantitative Exposure Assessments," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 108-119, January.
    3. Charles N. Haas, 1997. "Importance of Distributional Form in Characterizing Inputs to Monte Carlo Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 17(1), pages 107-113, February.
    4. Brent Finley & Deborah Proctor & Paul Scott & Natalie Harrington & Dennis Paustenbach & Paul Price, 1994. "Recommended Distributions for Exposure Factors Frequently Used in Health Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 14(4), pages 533-553, August.
    5. Dale Hattis & J Prerna Banati & Rob Goble & David E. Burmaster, 1999. "Human Interindividual Variability in Parameters Related to Health Risks," Risk Analysis, John Wiley & Sons, vol. 19(4), pages 711-726, August.
    6. Lisa M. Funk & Richard Sedman & Jill A. J. Beals & Robert Fountain, 1998. "Quantifying the Distribution of Inhalation Exposure in Human Populations: 2. Distributions of Time Spent by Adults, Adolescents, and Children at Home, at Work, and at School," Risk Analysis, John Wiley & Sons, vol. 18(1), pages 47-56, February.
    7. S. N. Rai & D. Krewski, 1998. "Uncertainty and Variability Analysis in Multiplicative Risk Models," Risk Analysis, John Wiley & Sons, vol. 18(1), pages 37-45, February.
    8. Paul S. Price & Cynthia L. Curry & Philip E. Goodrum & Michael N. Gray & Jane I. McCrodden & Natalie W. Harrington & Heather Carlson‐Lynch & Russell E. Keenan, 1996. "Monte Carlo Modeling of Time‐Dependent Exposures Using a Microexposure Event Approach," Risk Analysis, John Wiley & Sons, vol. 16(3), pages 339-348, June.
    9. Guido Sassi & Bernardo Ruggeri, 2008. "Uncertainty Evaluation of Human Risk Analysis (HRA) of Chemicals by Multiple Exposure Routes," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1343-1356, October.
    10. Paul S. Price & Steave H. Su & Jeff R. Harrington & Russell E. Keenan, 1996. "Uncertainty and Variation in Indirect Exposure Assessments: An Analysis of Exposure to Tetrachlorodibenzo‐p‐Dioxin from a Beef Consumption Pathway," Risk Analysis, John Wiley & Sons, vol. 16(2), pages 263-277, April.
    11. Shogo Takahara & Maiko Ikegami & Minoru Yoneda & Hitoshi Kondo & Azusa Ishizaki & Masashi Iijima & Yoko Shimada & Yasuto Matsui, 2017. "Bioaccessibility of Fukushima‐Accident‐Derived Cs in Soils and the Contribution of Soil Ingestion to Radiation Doses in Children," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1256-1267, July.
    12. Ellen S. Ebert & Natalie Wilson & Mitch Wacksman & John R. Loper & John D. Schell & Alan Fowler, 2012. "Utilization Survey of a Rural Creek Fishery in Central Alabama," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 416-432, March.
    13. Viscusi, W. Kip & Hamilton, James T. & Dockins, P. Christen, 1997. "Conservative versus Mean Risk Assessments: Implications for Superfund Policies," Journal of Environmental Economics and Management, Elsevier, vol. 34(3), pages 187-206, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:18:y:1998:i:5:p:611-619. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.